diff --git a/dist/learning-objectives.json b/dist/learning-objectives.json
index 7ba4b2fd1..88f6e57ec 100644
--- a/dist/learning-objectives.json
+++ b/dist/learning-objectives.json
@@ -434,6 +434,14 @@
       "aggregate-functions",
       "join",
       "subqueries-nested-queries",
+      "create-table",
+      "insert",
+      "update",
+      "delete",
+      "primary-key",
+      "foreign-key",
+      "alter-table",
+      "constraints",
       "tables",
       "crud",
       "drop"
@@ -442,7 +450,11 @@
       "psql",
       "data-types",
       "indexes",
-      "dump-restore"
+      "dump-restore",
+      "setup",
+      "commands",
+      "backup",
+      "restore"
     ],
     "mysql": [
       "mysql",
@@ -455,6 +467,13 @@
       "schemas",
       "dump-restore"
     ],
+    "virtual-machines": [
+      "setup"
+    ],
+    "shell": [
+      "scripts",
+      "file-permissions"
+    ],
     "slack": [
       "slash-commands"
     ],
@@ -552,6 +571,13 @@
       "priming-chatbots",
       "open-ai-api"
     ],
+    "data-analytics": [
+      "data-preparation",
+      "data-exploration",
+      "data-analysis",
+      "analysis-report",
+      "analysis-presentation"
+    ],
     "agile-planning": [
       "scope",
       "workplan",
@@ -939,6 +965,14 @@
     "sql/aggregate-functions",
     "sql/join",
     "sql/subqueries-nested-queries",
+    "sql/create-table",
+    "sql/insert",
+    "sql/update",
+    "sql/delete",
+    "sql/primary-key",
+    "sql/foreign-key",
+    "sql/alter-table",
+    "sql/constraints",
     "sql/tables",
     "sql/crud",
     "sql/drop",
@@ -947,6 +981,10 @@
     "postgres/data-types",
     "postgres/indexes",
     "postgres/dump-restore",
+    "postgres/setup",
+    "postgres/commands",
+    "postgres/backup",
+    "postgres/restore",
     "mysql",
     "mysql/mysql",
     "mysql/data-types",
@@ -956,6 +994,11 @@
     "mongodb/crud",
     "mongodb/schemas",
     "mongodb/dump-restore",
+    "virtual-machines",
+    "virtual-machines/setup",
+    "shell",
+    "shell/scripts",
+    "shell/file-permissions",
     "slack",
     "slack/slash-commands",
     "php",
@@ -1021,6 +1064,12 @@
     "ai-prompting/few-shot-prompting",
     "ai-prompting/priming-chatbots",
     "ai-prompting/open-ai-api",
+    "data-analytics",
+    "data-analytics/data-preparation",
+    "data-analytics/data-exploration",
+    "data-analytics/data-analysis",
+    "data-analytics/analysis-report",
+    "data-analytics/analysis-presentation",
     "agile-planning",
     "agile-planning/scope",
     "agile-planning/workplan",
@@ -2681,6 +2730,31 @@
       "db/indexes-constraints": {
         "title": "Índices y limitaciones"
       },
+      "shell": {
+        "title": "Shell"
+      },
+      "shell/scripts": {
+        "title": "Shell Scripts",
+        "links": [
+          {
+            "title": "Shell Scripting Guide - LinuxCommand.org",
+            "url": "http://linuxcommand.org/lc3_writing_shell_scripts.php"
+          }
+        ]
+      },
+      "shell/file-permissions": {
+        "title": "Permisos de archivos (File Permissions)",
+        "links": [
+          {
+            "title": "Understanding Linux File Permissions - DigitalOcean",
+            "url": "https://www.digitalocean.com/community/tutorials/understanding-linux-file-permissions"
+          },
+          {
+            "title": "File Permissions in Linux - Red Hat",
+            "url": "https://www.redhat.com/sysadmin/linux-file-permissions"
+          }
+        ]
+      },
       "sql": {
         "title": "SQL"
       },
@@ -2797,6 +2871,78 @@
           }
         ]
       },
+      "sql/create-table": {
+        "title": "Crear una tabla con CREATE TABLE",
+        "links": [
+          {
+            "title": "SQL CREATE TABLE Statement - W3Schools",
+            "url": "https://www.w3schools.com/sql/sql_create_table.asp"
+          }
+        ]
+      },
+      "sql/insert": {
+        "title": "Agregar registros a un tabla con INSERT",
+        "links": [
+          {
+            "title": "Inserting Data - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/dml-insert.html"
+          }
+        ]
+      },
+      "sql/update": {
+        "title": "Actualizar registros con UPDATE",
+        "links": [
+          {
+            "title": "Updating Data - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/dml-update.html"
+          }
+        ]
+      },
+      "sql/delete": {
+        "title": "Eliminar registros con DELETE",
+        "links": [
+          {
+            "title": "Deleting Data - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/dml-delete.html"
+          }
+        ]
+      },
+      "sql/primary-key": {
+        "title": "Claves primarias (Primary Keys)",
+        "links": [
+          {
+            "title": "Primary Keys - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/ddl-constraints.html#DDL-CONSTRAINTS-PRIMARY-KEYS"
+          }
+        ]
+      },
+      "sql/foreign-key": {
+        "title": "Claves externas (Foreign Keys)",
+        "links": [
+          {
+            "title": "Foreign Keys - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/ddl-constraints.html#DDL-CONSTRAINTS-FK"
+          }
+        ]
+      },
+      "sql/alter-table": {
+        "title": "Cambiar la estrucutura de una tabla con ALTER TABLE",
+        "links": [
+          {
+            "title": "Modifying Tables - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/ddl-alter.html"
+          }
+        ]
+      },
+      "sql/constraints": {
+        "title": "Restricciones sobre los campos de una tabla (Constraints)",
+        "links": [
+          {
+            "title": "Constraints - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/ddl-constraints.html"
+          }
+        ]
+      },
       "mongodb": {
         "title": "MongoDB"
       },
@@ -2889,6 +3035,68 @@
           }
         ]
       },
+      "postgres/setup": {
+        "title": "Setup de una nueva instancia",
+        "links": [
+          {
+            "title": "PostgreSQL Installation - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/download/"
+          },
+          {
+            "title": "How To Install and Use PostgreSQL on Ubuntu - DigitalOcean",
+            "url": "https://www.digitalocean.com/community/tutorials/how-to-install-and-use-postgresql-on-ubuntu-20-04"
+          }
+        ]
+      },
+      "postgres/commands": {
+        "title": "Comandos",
+        "links": [
+          {
+            "title": "PostgreSQL psql Commands - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/app-psql.html"
+          },
+          {
+            "title": "Commonly Used PostgreSQL Commands - Verta.ai",
+            "url": "https://www.verta.ai/resources/tutorials/database/postgresql-commands"
+          }
+        ]
+      },
+      "postgres/backup": {
+        "title": "Copias de seguridad (Backup)",
+        "description": "Procedimientos de copia de seguridad para bases de datos PostgreSQL, incluyendo varias herramientas y mejores prácticas.",
+        "references": [
+          {
+            "link": "https://www.postgresql.org/docs/current/backup.html",
+            "description": "Official PostgreSQL Backup Documentation"
+          },
+          {
+            "link": "https://www.digitalocean.com/community/tutorials/how-to-back-up-database-in-postgresql",
+            "description": "How to Back Up a Database in PostgreSQL - DigitalOcean"
+          },
+          {
+            "link": "https://www.pgadmin.org/docs/pgadmin4/latest/backup_and_restore.html",
+            "description": "Backup and Restore with pgAdmin - Official Documentation"
+          }
+        ]
+      },
+      "postgres/restore": {
+        "title": "Restauración (Restore)",
+        "description": "Métodos y mejores prácticas para restaurar bases de datos PostgreSQL a partir de copias de seguridad.",
+        "references": [
+          {
+            "link": "https://www.postgresql.org/docs/current/backup-dump.html",
+            "description": "Official PostgreSQL Restore Documentation"
+          },
+          {
+            "link": "https://www.digitalocean.com/community/tutorials/how-to-restore-postgresql-databases",
+            "description": "How to Restore PostgreSQL Databases - DigitalOcean"
+          },
+          {
+            "link": "https://www.pgadmin.org/docs/pgadmin4/latest/backup_and_restore.html",
+            "description": "Backup and Restore with pgAdmin - Official Documentation"
+          }
+        ]
+      },
       "mysql": {
         "title": "MySQL"
       },
@@ -2932,6 +3140,22 @@
           }
         ]
       },
+      "virtual-machines": {
+        "title": "Máquinas Virtuales"
+      },
+      "virtual-machines/setup": {
+        "title": "Configurando máquinas virtuales",
+        "links": [
+          {
+            "title": "Creación de una máquina virtual - Oracle VM",
+            "url": "https://docs.oracle.com/en/virtualization/virtualbox/6.0/user/vboxmanage-createvm.html"
+          },
+          {
+            "title": "Configuración de una máquina virtual - Microsoft",
+            "url": "https://docs.microsoft.com/en-us/virtualization/hyper-v-on-windows/quick-start/quick-create-virtual-machine"
+          }
+        ]
+      },
       "react": {
         "title": "React"
       },
@@ -3779,6 +4003,272 @@
           }
         ]
       },
+      "data-analytics": {
+        "title": "Análisis de datos",
+        "description": "Validar hipótesis mediante el análisis de los datos, y proporcionar recomendaciones estratégicas basadas en tus hallazgos"
+      },
+      "data-analytics/data-preparation": {
+        "title": "Cargar información a una base de datos",
+        "description": "Cargar información a una base de datos",
+        "links": [
+          {
+            "title": "Mini curso BigQuery",
+            "url": "https://coda.io/d/Curso-Google-BigQuery_dhocNT3PUIE/Introduccion_su3UO#_luO8s"
+          },
+          {
+            "title": "Cómo empezar con BigQuery (sandbox - versión gratuita)",
+            "url": "https://cloud.google.com/bigquery/docs/sandbox?hl=es-419"
+          },
+          {
+            "title": "Qué es BigQuery",
+            "url": "https://www.youtube.com/watch?v=RxKtIicl8r0"
+          },
+          {
+            "title": "Cómo crear un Project, Dataset y cargar tabla en BigQuery",
+            "url": "https://www.youtube.com/watch?v=BN8WAOtJ4CY"
+          },
+          {
+            "title": "Concepto valores nulos",
+            "url": "https://docs.google.com/document/d/1AJRLPg2SWLvC1pnGOz-f1SNZXH1X63x2xWlquDBtlmE/edit?usp=sharing"
+          },
+          {
+            "title": "versión en audio",
+            "url": "https://drive.google.com/file/d/1Y88gJEBdorDMRoEjnIUJNyI4G0LLAaGk/view?usp=drive_link"
+          },
+          {
+            "title": "Qué es una consulta (query)",
+            "url": "https://docs.google.com/document/d/1upi7Ashq_wro02zjMjnQlWgivQ9gsQWIy8q9pLm9WZ4/edit"
+          },
+          {
+            "title": "Cómo guardar queries",
+            "url": "https://www.loom.com/share/461b7c3f07214d7897b68890c1389b77?sid=9c6d46b2-5ff6-4a60-823b-c976f535a18d"
+          },
+          {
+            "title": "Cómo idenficar nulos usando COUNT, WHERE y IS NULL",
+            "url": "https://www.loom.com/share/3ae5d6e7f500405f95e8f1a110413a35?sid=c44c44d8-7caa-4da4-9261-03f6fd92348c"
+          },
+          {
+            "title": "Concepto valores duplicados",
+            "url": "https://docs.google.com/document/d/1jXm4s7b17eObHd8sMvJSGwWi1YzdG_VZq56Xooy5Ioo/edit?usp=sharing"
+          },
+          {
+            "title": "versión en audio",
+            "url": "https://drive.google.com/file/d/1TbKPSvocksk33eFg42lHf3kD8Y3NuzsN/view?usp=drive_link"
+          },
+          {
+            "title": "Cómo identificar duplicados a través de GROUP BY y HAVING (Ve también la diferencia entre los comandos WHERE y HAVING)",
+            "url": "https://www.loom.com/share/0bd5d25a7e634bd39012f5bd913e3a3b?sid=507743b7-ee30-4c68-8756-a344798cad32"
+          },
+          {
+            "title": "Concepto valores fuera del alcance",
+            "url": "https://docs.google.com/document/d/1-SsxH5Ke3qAaWg5YKrkRwkExd91Q0RdJGplLAiXPiYA/edit?usp=sharing"
+          },
+          {
+            "title": "versión en audio",
+            "url": "https://drive.google.com/file/d/1Z963-z4MCiRRjt5RZF75oH_CH1BqDNrO/view?usp=drive_link"
+          },
+          {
+            "title": "Cómo utilizar EXCEPT para selecionar variables",
+            "url": "https://www.loom.com/share/2fa18d5cfd33403faaa794a2b08671f1?sid=2d16f30b-a26c-4d3c-bfd8-88ba7c664f25"
+          },
+          {
+            "title": "Cómo utilizar comandos LIKE y REGEXP",
+            "url": "https://www.loom.com/share/3f7bb1362d5947ecb8c83e6f0690a4a5?sid=76f52b28-efb3-4991-b4c1-bd288bd4e805"
+          },
+          {
+            "title": "Documentación Google sobre String Functions",
+            "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions"
+          },
+          {
+            "title": "Concepto variables categóricas",
+            "url": "https://docs.google.com/document/d/1BIqa7xR0JNadM9kQExypo3plnwrNia92zCuxkPuMj5A/edit?usp=sharing"
+          },
+          {
+            "title": "Concepto variables categóricas  (versión en audio)",
+            "url": "https://drive.google.com/file/d/13gQ6Ni9FUfDmi5bjQivjeKj04fAI8Gl2/view?usp=drive_link"
+          },
+          {
+            "title": "Video sobre tipos de variables",
+            "url": "https://www.loom.com/share/afa56686810e46309761bc889364b2d9?sid=cabf587c-7ba1-4419-b501-32c98a73e191"
+          },
+          {
+            "title": "Identificar valores discrepantes en variables numéricas con MAX, MIN y AVG",
+            "url": "https://www.loom.com/share/4fb40d01dddf4e3cbf981029ed08613a?sid=5e46b20b-5ea4-47c4-a808-99969a369431"
+          },
+          {
+            "title": "Concepto variables numéricas",
+            "url": "https://docs.google.com/document/d/1oTn46djgWYlhcY9_Ak9H2edY2_rR8gpJco66njPwkCc/edit?usp=sharing"
+          },
+          {
+            "title": "Tipos de datos en SQL",
+            "url": "https://docs.google.com/document/d/1z0evGu8JtjDPuFlH1pkbqYR6scRwukPfwWKJ-KmZRmI/edit?usp=sharing"
+          },
+          {
+            "title": "Tipos de datos en SQL",
+            "url": "https://www.youtube.com/watch?v=A1tZ-d2uxws"
+          },
+          {
+            "title": "Cambiar tipo de dato con CAST",
+            "url": "https://www.loom.com/share/dfca15dd59084f83a1343eb476c71e96?sid=5ffd1896-5cf2-4ad5-88dc-741152483c45"
+          },
+          {
+            "title": "Concepto crear nuevas variables",
+            "url": "https://docs.google.com/document/d/1yp5MVB8iirIbYwptscJ4YrjsY4Bnd8mrsDB75Onun2s/edit?usp=sharing"
+          },
+          {
+            "title": "versión en audio",
+            "url": "https://drive.google.com/file/d/15P7Gp4_F_EOasIgW7SUhK8bf0MIDD6K8/view?usp=drive_link"
+          },
+          {
+            "title": "Como crear nuevas variables con CONCAT y operaciones matemáticas",
+            "url": "https://www.loom.com/share/65e15aa134c545bc9cfdc6b88bc2ae78?sid=46988f46-bcc0-471f-b89e-55c7ffe953b5"
+          },
+          {
+            "title": "Tipos de JOIN en SQL",
+            "url": "https://www.youtube.com/watch?v=HDBdAIcqJQo"
+          },
+          {
+            "title": "Diferencia entre VIEW y CREATE TABLE",
+            "url": "https://www.loom.com/share/97dbe237b9de459baa4d788f8bb44502?sid=e2168d4f-a8ff-44e4-b3f0-55e72596350a"
+          },
+          {
+            "title": "Cómo utilizar comando WITH y para qué sirve",
+            "url": "https://www.loom.com/share/8e2f6f70db214e2484af45375539d8e9?sid=222c7e6d-1ff5-430a-ab28-64c025f34ebf"
+          }
+        ]
+      },
+      "data-analytics/data-exploration": {
+        "title": "Hacer un análisis exploratorio",
+        "description": "Hacer un análisis exploratorio",
+        "links": [
+          {
+            "title": "Concepto variables categóricas",
+            "url": "https://docs.google.com/document/d/1BIqa7xR0JNadM9kQExypo3plnwrNia92zCuxkPuMj5A/edit?usp=sharing"
+          },
+          {
+            "title": "versión en audio",
+            "url": "https://drive.google.com/file/d/13gQ6Ni9FUfDmi5bjQivjeKj04fAI8Gl2/view?usp=drive_link"
+          },
+          {
+            "title": "Video sobre tipos de variables",
+            "url": "https://www.loom.com/share/afa56686810e46309761bc889364b2d9?sid=cabf587c-7ba1-4419-b501-32c98a73e191"
+          },
+          {
+            "title": "Cómo empezar con Looker Studio",
+            "url": "https://www.youtube.com/watch?v=P5WLaeSQK7s&t=3s"
+          },
+          {
+            "title": "Video Como conectar datos en Looker Studio",
+            "url": "https://www.loom.com/share/0cce98d5bbc7482ea421444e2f850cc1"
+          },
+          {
+            "title": "Video visión general Looker Studio",
+            "url": "https://www.loom.com/share/9c7505eb3c2a4612bdfb7c9d43c40051"
+          },
+          {
+            "title": "Video como crear un dashboard en Looker Studio",
+            "url": "https://www.youtube.com/watch?v=Sprmb4W82sk"
+          },
+          {
+            "title": "Tutorial de Google Como crear un informe en Looker Studio",
+            "url": "https://support.google.com/looker-studio/answer/6292570?hl=ES#zippy=%2Csecciones-de-este-art%C3%ADculo"
+          },
+          {
+            "title": "Cómo crear una tabla dinamica en Looker Studio",
+            "url": "https://www.youtube.com/watch?v=3WJrWfAtgEw"
+          },
+          {
+            "title": "Concepto estadísticas descriptivas",
+            "url": "https://docs.google.com/document/d/13xu7cf5LcUN2CE58qwyZoNrhS713Ci0tI9S1odeapig/edit?usp=sharing"
+          },
+          {
+            "title": "🔈 Concepto estadísticas descriptivas (versión en audio)",
+            "url": "https://drive.google.com/file/d/1v6xdtWci7rYtMKibGowl9OxBArT3CVnI/view?usp=drive_link"
+          },
+          {
+            "title": "Concepto medidas de tendencia central",
+            "url": "https://docs.google.com/document/d/1Ly_7zLmUjcczqCkQLQwvDYEGyRLtSNQLVi3w8CIh8sI/edit?usp=sharing"
+          },
+          {
+            "title": "🔈 Concepto medidas de tendencia central (versión en audio)",
+            "url": "https://drive.google.com/file/d/1viy63m4n8Gn9aYHNuLJpd8RzFrTNnlw2/view?usp=drive_link"
+          },
+          {
+            "title": "Cómo crear gráficos en Looker Studio",
+            "url": "https://www.youtube.com/watch?v=B3hPsl-8u3A"
+          },
+          {
+            "title": "Concepto correlación de Pearson",
+            "url": "https://docs.google.com/document/d/1HvuENDveavTmlRtSGk3Gv3LqSPNbRPWNYgOU8e3CxTM/edit?usp=sharing"
+          },
+          {
+            "title": "Cómo calcular correlación en BigQuery",
+            "url": "https://www.loom.com/share/9bf3e48cf57d48ca9c81c2c19562dedf?sid=c4c8a611-d0ae-4c4f-a2f5-200ce48746f4"
+          }
+        ]
+      },
+      "data-analytics/data-analysis": {
+        "title": "Aplicar técnica de análisis",
+        "description": "Aplicar técnica de análisis",
+        "links": [
+          {
+            "title": "Gráfico de dispersión",
+            "url": "https://www.youtube.com/watch?v=gX-vNQVSYSM&t=477s"
+          }
+        ]
+      },
+      "data-analytics/analysis-report": {
+        "title": "Resumir información en un dashboard o reporte",
+        "description": "Resumir información en un dashboard o reporte",
+        "links": [
+          {
+            "title": "Como crear scorecards (tarjeta de resultados) en Looker Studio",
+            "url": "https://www.youtube.com/watch?v=D09zovxBXWs"
+          },
+          {
+            "title": "Ffiltros en Looker Studio",
+            "url": "https://www.youtube.com/watch?v=HZMZcNf1jdk"
+          }
+        ]
+      },
+      "data-analytics/analysis-presentation": {
+        "title": "Presentar Resultados",
+        "description": "Presentar Resultados",
+        "links": [
+          {
+            "title": "Concepto presentar resultados",
+            "url": "https://docs.google.com/document/d/10Xabbxk7WxojFAdncs3YSc4wSCLihw0LUOOqxijGdMc/edit?usp=sharing"
+          },
+          {
+            "title": "Que es Data Storytelling",
+            "url": "https://www.youtube.com/watch?v=NDs2BXgvzPc"
+          },
+          {
+            "title": "diferentes formas de presentar una misma información",
+            "url": "https://www.youtube.com/watch?v=2vWT6hmnVVg"
+          },
+          {
+            "title": "Video sobre como crear presentaciones en Google Slides",
+            "url": "https://www.youtube.com/watch?v=T8Fs-zkIX3I"
+          },
+          {
+            "title": "Compartir presentación para trabajar en conjunto",
+            "url": "https://www.loom.com/share/3220709262c142d4a0214cfc09856dcc?sid=b00df098-70e9-4a2a-89c7-e68b265ed588"
+          },
+          {
+            "title": "Artículo sobre presentar datos",
+            "url": "https://apolitical.co/solution-articles/es/presentar-datos-5-consejos-hacer-datos-comprensibles"
+          },
+          {
+            "title": "Artículo sobre presentar datos",
+            "url": "https://vilmanunez.com/como-hacer-una-presentacion-de-resultados/"
+          },
+          {
+            "title": "Video tips para una presentación",
+            "url": "https://www.youtube.com/watch?v=MPW6Ak3dxWc&t=157s"
+          }
+        ]
+      },
       "agile-planning": {
         "title": "Planificación ágil"
       },
@@ -6109,6 +6599,31 @@
       "db/indexes-constraints": {
         "title": "Índices e limitações"
       },
+      "shell": {
+        "title": "Shell"
+      },
+      "shell/scripts": {
+        "title": "Shell Scripts",
+        "links": [
+          {
+            "title": "Shell Scripting Guide - LinuxCommand.org",
+            "url": "http://linuxcommand.org/lc3_writing_shell_scripts.php"
+          }
+        ]
+      },
+      "shell/file-permissions": {
+        "title": "Permissões de arquivo (File Permissions)",
+        "links": [
+          {
+            "title": "Understanding Linux File Permissions - DigitalOcean",
+            "url": "https://www.digitalocean.com/community/tutorials/understanding-linux-file-permissions"
+          },
+          {
+            "title": "File Permissions in Linux - Red Hat",
+            "url": "https://www.redhat.com/sysadmin/linux-file-permissions"
+          }
+        ]
+      },
       "sql": {
         "title": "SQL"
       },
@@ -6225,6 +6740,78 @@
           }
         ]
       },
+      "sql/create-table": {
+        "title": "Criar uma tabela com CREATE TABLE",
+        "links": [
+          {
+            "title": "SQL CREATE TABLE Statement - W3Schools",
+            "url": "https://www.w3schools.com/sql/sql_create_table.asp"
+          }
+        ]
+      },
+      "sql/insert": {
+        "title": "Adição de registros a uma tabela com INSERT",
+        "links": [
+          {
+            "title": "Inserting Data - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/dml-insert.html"
+          }
+        ]
+      },
+      "sql/update": {
+        "title": "Atualizar registros com UPDATE",
+        "links": [
+          {
+            "title": "Updating Data - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/dml-update.html"
+          }
+        ]
+      },
+      "sql/delete": {
+        "title": "Excluir registros com DELETE",
+        "links": [
+          {
+            "title": "Deleting Data - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/dml-delete.html"
+          }
+        ]
+      },
+      "sql/primary-key": {
+        "title": "Claves primarias (Primary Keys)",
+        "links": [
+          {
+            "title": "Primary Keys - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/ddl-constraints.html#DDL-CONSTRAINTS-PRIMARY-KEYS"
+          }
+        ]
+      },
+      "sql/foreign-key": {
+        "title": "Claves externas (Foreign Keys)",
+        "links": [
+          {
+            "title": "Foreign Keys - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/ddl-constraints.html#DDL-CONSTRAINTS-FK"
+          }
+        ]
+      },
+      "sql/alter-table": {
+        "title": "Cambiar la estrucutura de una tabla con ALTER TABLE",
+        "links": [
+          {
+            "title": "Modifying Tables - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/ddl-alter.html"
+          }
+        ]
+      },
+      "sql/constraints": {
+        "title": "Restricciones sobre los campos de una tabla (Constraints)",
+        "links": [
+          {
+            "title": "Constraints - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/ddl-constraints.html"
+          }
+        ]
+      },
       "mongodb": {
         "title": "MongoDB"
       },
@@ -6317,6 +6904,68 @@
           }
         ]
       },
+      "postgres/setup": {
+        "title": "Configuração de uma nova instância",
+        "links": [
+          {
+            "title": "PostgreSQL Installation - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/download/"
+          },
+          {
+            "title": "How To Install and Use PostgreSQL on Ubuntu - DigitalOcean",
+            "url": "https://www.digitalocean.com/community/tutorials/how-to-install-and-use-postgresql-on-ubuntu-20-04"
+          }
+        ]
+      },
+      "postgres/commands": {
+        "title": "Comandos",
+        "links": [
+          {
+            "title": "PostgreSQL psql Commands - PostgreSQL Docs",
+            "url": "https://www.postgresql.org/docs/current/app-psql.html"
+          },
+          {
+            "title": "Commonly Used PostgreSQL Commands - Verta.ai",
+            "url": "https://www.verta.ai/resources/tutorials/database/postgresql-commands"
+          }
+        ]
+      },
+      "postgres/backup": {
+        "title": "Backup",
+        "description": "Procedimentos de backup para bancos de dados PostgreSQL, incluindo várias ferramentas e práticas recomendadas.",
+        "references": [
+          {
+            "link": "https://www.postgresql.org/docs/current/backup.html",
+            "description": "Official PostgreSQL Backup Documentation"
+          },
+          {
+            "link": "https://www.digitalocean.com/community/tutorials/how-to-back-up-database-in-postgresql",
+            "description": "How to Back Up a Database in PostgreSQL - DigitalOcean"
+          },
+          {
+            "link": "https://www.pgadmin.org/docs/pgadmin4/latest/backup_and_restore.html",
+            "description": "Backup and Restore with pgAdmin - Official Documentation"
+          }
+        ]
+      },
+      "postgres/restore": {
+        "title": "Restaurar (Restore)",
+        "description": "Métodos e práticas recomendadas para restaurar bancos de dados PostgreSQL a partir de backups.",
+        "references": [
+          {
+            "link": "https://www.postgresql.org/docs/current/backup-dump.html",
+            "description": "Official PostgreSQL Restore Documentation"
+          },
+          {
+            "link": "https://www.digitalocean.com/community/tutorials/how-to-restore-postgresql-databases",
+            "description": "How to Restore PostgreSQL Databases - DigitalOcean"
+          },
+          {
+            "link": "https://www.pgadmin.org/docs/pgadmin4/latest/backup_and_restore.html",
+            "description": "Backup and Restore with pgAdmin - Official Documentation"
+          }
+        ]
+      },
       "mysql": {
         "title": "MySQL"
       },
@@ -6360,6 +7009,22 @@
           }
         ]
       },
+      "virtual-machines": {
+        "title": "Máquinas virtuais"
+      },
+      "virtual-machines/setup": {
+        "title": "Configuração de máquinas virtuais",
+        "links": [
+          {
+            "title": "Creating a Virtual Machine - Oracle VM",
+            "url": "https://docs.oracle.com/en/virtualization/virtualbox/6.0/user/vboxmanage-createvm.html"
+          },
+          {
+            "title": "Setting Up a Virtual Machine - Microsoft",
+            "url": "https://docs.microsoft.com/en-us/virtualization/hyper-v-on-windows/quick-start/quick-create-virtual-machine"
+          }
+        ]
+      },
       "react": {
         "title": "React"
       },
@@ -7207,6 +7872,252 @@
           }
         ]
       },
+      "data-analytics": {
+        "title": "Análise de Dados",
+        "description": "Validar hipóteses por meio da análise de dados e fornecer recomendações estratégicas com base em suas descobertas"
+      },
+      "data-analytics/data-preparation": {
+        "title": "Carregar informações para um banco de dados",
+        "description": "Carregar informações para um banco de dados",
+        "links": [
+          {
+            "title": "Mini curso BigQuery",
+            "url": "https://coda.io/d/PT-Curso-Google-BigQuery_dvpJ2RzVDub/Configurando-o-Sandbox_suq00#_lu8z6"
+          },
+          {
+            "title": "Como começar com BigQuery (sandbox - versão gratuita)",
+            "url": "https://cloud.google.com/bigquery/docs/sandbox?hl=pt"
+          },
+          {
+            "title": "O que é BigQuery",
+            "url": "https://www.youtube.com/watch?v=BRPUA0EgS4I&list=PL5TJqBvpXQv5n1N15kcK1m9oKJm_cv-m6"
+          },
+          {
+            "title": "Como criar um Projeto, Conjunto de Dados e carregar tabela no BigQuery",
+            "url": "https://www.youtube.com/watch?v=z32438Yehl4&list=PL5TJqBvpXQv5n1N15kcK1m9oKJm_cv-m6&index=2"
+          },
+          {
+            "title": "Conceito de valores nulos",
+            "url": "https://docs.google.com/document/d/1kiUVEx6n9gwu5BcyfTtFMR9UkgICJd2bdjMS7u9Laws/edit?usp=sharing"
+          },
+          {
+            "title": "Versão em áudio",
+            "url": "https://raw.githubusercontent.com/Laboratoria/curriculum-data-contenidos/main/PT_P1_segmentacao/TTS/1contenidos_valores_nulos.mp3"
+          },
+          {
+            "title": "O que é uma consulta (query)",
+            "url": "https://docs.google.com/document/d/1QjuWNUrCCs0kSMjq0RxnUoa8lCr58GvIwerYrLZs2Bs/edit?usp=sharing"
+          },
+          {
+            "title": "Como salvar queries",
+            "url": "https://www.loom.com/share/4140a54ac8c845d781058d8f0bb53e30?sid=e8e3bb4f-d70b-44f8-a79b-377ded6a88a1"
+          },
+          {
+            "title": "Como identificar nulos usando COUNT, WHERE e IS NULL",
+            "url": "https://www.loom.com/share/972220ee18874d1b872c206f5e62627c?sid=fb520257-c035-490a-8d42-c41d134476c6"
+          },
+          {
+            "title": "Conceito de valores duplicados",
+            "url": "https://docs.google.com/document/d/1GrC45LJEwAKR5IjTf-sBJGseGzHYjFjehf2Fk41yNs8/edit?usp=sharing"
+          },
+          {
+            "title": "Versão em áudio",
+            "url": "https://raw.githubusercontent.com/Laboratoria/curriculum-data-contenidos/main/PT_P1_segmentacao/TTS/2contenidos_valores_duplicados.mp3"
+          },
+          {
+            "title": "Como identificar duplicados através de GROUP BY e HAVING (Veja também a diferença entre os comandos WHERE e HAVING)",
+            "url": "https://www.loom.com/share/7f066ca3cad3438180509ba0643221a5?sid=1555e2cc-a68c-4ff8-80e4-2133059f0acb"
+          },
+          {
+            "title": "Conceito de valores fora do escopo",
+            "url": "https://docs.google.com/document/d/1c__WRov6ZvLsrGuznpsGthOYb3jGwTtnmOFe5zCP3X4/edit?usp=sharing"
+          },
+          {
+            "title": "Versão em áudio",
+            "url": "https://raw.githubusercontent.com/Laboratoria/curriculum-data-contenidos/main/PT_P1_segmentacao/TTS/3contenidos_valores_fora_escopo.mp3"
+          },
+          {
+            "title": "Como usar EXCEPT para selecionar variáveis",
+            "url": "https://www.loom.com/share/2c507731f3004d9f8f64c555232702a3?sid=f608d12d-d248-47e5-b034-15259817cf5d"
+          },
+          {
+            "title": "Como usar os comandos LIKE e REGEXP",
+            "url": "https://www.loom.com/share/3ec6dda6ef4741288bda6044b50b0cbc?sid=a47774e0-e3c5-4dd4-b5f3-d3096d5bd70d"
+          },
+          {
+            "title": "Documentação do Google sobre funções de string",
+            "url": "https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions"
+          },
+          {
+            "title": "Vídeo sobre tipos de variáveis",
+            "url": "https://www.youtube.com/watch?v=c2R378U4gcA"
+          },
+          {
+            "title": "Identificar valores discrepantes em variáveis ​​numéricas com MAX, MIN e AVG",
+            "url": "https://www.loom.com/share/86e9b5b4cbe941348193039b0c60691f?sid=1472fe57-e4fd-4287-8408-405c8c922b8e"
+          },
+          {
+            "title": "Conceito de variáveis ​​numéricas",
+            "url": "https://docs.google.com/document/d/1-C065f5Vti_H7vO1ioqHN0IYocxz5hVpCruc0RFnRa8/edit?usp=sharing"
+          },
+          {
+            "title": "Tipos de dados em SQL",
+            "url": "https://docs.google.com/document/d/1GYwd_Gg_gsIJuv0XnJ7C7JMorYNom9Z7wyfLPclHTBo/edit?usp=sharing"
+          },
+          {
+            "title": "Tipos de dados em SQL (vídeo)",
+            "url": "https://www.youtube.com/watch?v=X40zYYRsw1U"
+          },
+          {
+            "title": "Alterar tipo de dados com CAST",
+            "url": "https://www.loom.com/share/93e9005ecfb944ddbe9effa8dcb2fc27?sid=ab42f8e3-6d41-453b-b080-7461e3736582"
+          },
+          {
+            "title": "Conceito de criar novas variáveis",
+            "url": "https://docs.google.com/document/d/1mSSLszUU9-ED-HDMF0ADmrXKtMkoUXLj1HCIj8ZA0fc/edit?usp=sharing"
+          },
+          {
+            "title": "Versão em áudio",
+            "url": "https://raw.githubusercontent.com/Laboratoria/curriculum-data-contenidos/main/PT_P1_segmentacao/TTS/5contenidos_novas_variaveis.mp3"
+          },
+          {
+            "title": "Como criar novas variáveis ​​com CONCAT e operações matemáticas",
+            "url": "https://www.loom.com/share/9f8a444c394e40dfb2cd693b2ac4201f?sid=004aeaae-97e1-41b2-8cbd-26d45ff48cc8"
+          },
+          {
+            "title": "Tipos de JOIN em SQL",
+            "url": "https://www.youtube.com/watch?v=3IdKyi-KezU"
+          },
+          {
+            "title": "Diferença entre VIEW e CREATE TABLE",
+            "url": "https://www.loom.com/share/bd6987ebe2ad48eebf291931981a0c4d?sid=ca3e7ea1-bc44-4f0a-b332-36f86b093f5f"
+          },
+          {
+            "title": "Como utilizar comando WITH e para que serve",
+            "url": "https://www.loom.com/share/2d982ea5dd58420e9e3fb15b9153f6c8?sid=6fc75c6e-f68a-43f9-9f94-8ff494432f69"
+          }
+        ]
+      },
+      "data-analytics/data-exploration": {
+        "title": "Realizar uma análise exploratória",
+        "description": "Realizar uma análise exploratória",
+        "links": [
+          {
+            "title": "Agrupar dados por variáveis categóricas",
+            "url": "https://docs.google.com/document/d/1cOTKw04u2008G7JyRaYHzSzyWRjJwxLryn8hIxkO2es/edit?usp=sharing"
+          },
+          {
+            "title": "Vídeo sobre tipos de variáveis",
+            "url": "https://www.youtube.com/watch?v=N7AbQZA06QU&pp=ygUldmFyacOhdmVpcyBjYXRlZ8OzcmljYXMgZSBudW3DqXJpY2FzIA%3D%3D"
+          },
+          {
+            "title": "Link para acessar o Looker Studio",
+            "url": "https://lookerstudio.google.com/navigation/reporting"
+          },
+          {
+            "title": "Vídeo como começar no Looker Studio",
+            "url": "https://www.youtube.com/watch?v=Gx5S8Ry54TU&pp=ygUjY29tbyBjcmlhciB1bSBwYWluZWwgbm8gZGF0YSBzdHVkaW8%3D"
+          },
+          {
+            "title": "Vídeo Como conectar dados no Looker Studio",
+            "url": "https://www.youtube.com/watch?v=dAZ0yfRSKjQ&pp=ygUiY29tbyBjb25lY3RhciBkYWRvcyBubyBkYXRhIHN0dWRpbw%3D%3D"
+          },
+          {
+            "title": "Visão geral Looker Studio",
+            "url": "https://www.youtube.com/watch?v=dfAHZ1C_ZQs&list=PLbnAsJ6zlidug4pEvq6tm0h7DPJGkP-aU"
+          },
+          {
+            "title": "Vídeo como criar um painel/dashboard no Looker Studio",
+            "url": "https://www.youtube.com/watch?v=qoKPW5Yn3Dk&pp=ygUjY29tbyBjcmlhciB1bSBwYWluZWwgbm8gZGF0YSBzdHVkaW8%3D"
+          },
+          {
+            "title": "Tutorial do Google Como criar um relatório no Looker Studio",
+            "url": "https://support.google.com/looker-studio/answer/06292570?0hl=ES#zippy=%2Csections-of-this-art%C3%ADculo%2Cneste-artigo"
+          },
+          {
+            "title": "Tabelas no Looker Studio",
+            "url": "https://www.youtube.com/watch?v=WcxlQG1UdkY"
+          },
+          {
+            "title": "Video como criar gráficos de barras",
+            "url": "https://www.youtube.com/watch?v=p4nNJWtStAs"
+          },
+          {
+            "title": "Conceito de estatística descritiva",
+            "url": "https://docs.google.com/document/d/12YZ-984bRqWxKGr8M-Yzrq8MjWubBw_i38SEcjDt9tE/edit?usp=sharing"
+          },
+          {
+            "title": "Conceito de medidas de tendência central",
+            "url": "https://docs.google.com/document/d/15_eD0wsb1w7GFMmmAm8HPFZJGNzlmsZalMwBke9hSt0/edit?usp=sharing"
+          },
+          {
+            "title": "Conceito de correlação de Pearson",
+            "url": "https://docs.google.com/document/d/1z_GT13b-GJphDGujDneULn2IOz-KuSmrQpSJBepJF7o/edit?usp=sharing"
+          },
+          {
+            "title": "Como calcular a correlação no BigQuery",
+            "url": "https://www.loom.com/share/447a64fa6bd5431289a5a9ca0014e8cb?sid=1edc546a-9691-400a-8cde-b63a2f395532"
+          }
+        ]
+      },
+      "data-analytics/data-analysis": {
+        "title": "Aplicar técnica de análisis",
+        "description": "Aplicar técnica de análisis",
+        "links": [
+          {
+            "title": "Gráfico de dispersión",
+            "url": "https://www.youtube.com/watch?v=ksRa12dmxNc"
+          }
+        ]
+      },
+      "data-analytics/analysis-report": {
+        "title": "Resumir informações em um painel ou relatório",
+        "description": "Resumir informações em um painel ou relatório",
+        "links": [
+          {
+            "title": "Como criar scorecards (cartão de resultados) no Looker Studio",
+            "url": "https://www.youtube.com/watch?v=dEu4dDUT52o&pp=ygUjbG9va2VyIHN0dWRpbyBjb21vIGZhemVyIHNjb3JlY2FyZHM%3D"
+          },
+          {
+            "title": "Filtros no Looker Studio",
+            "url": "https://www.youtube.com/watch?v=zivYzP5GHTM"
+          }
+        ]
+      },
+      "data-analytics/analysis-presentation": {
+        "title": "Apresentar Resultados",
+        "description": "Apresentar Resultados",
+        "links": [
+          {
+            "title": "Conceito de apresentar resultados",
+            "url": "https://docs.google.com/document/d/1m5D3rRMHyF-yeIH7_BXKiG2pNXn7ov99Qg9egPz8mUY/edit?usp=sharing"
+          },
+          {
+            "title": "O que é Data Storytelling",
+            "url": "https://www.youtube.com/watch?v=udGJzHRuymw"
+          },
+          {
+            "title": "Como aplicar storytelling em dados",
+            "url": "https://www.youtube.com/watch?v=0SXCajBWt5I"
+          },
+          {
+            "title": "Vídeo sobre como criar apresentações no Google Slides",
+            "url": "https://www.youtube.com/watch?v=T8Fs-zkIX3I"
+          },
+          {
+            "title": "Vídeo sobre como criar apresentações no Apresentações Google",
+            "url": "https://www.youtube.com/watch?v=UklVY_w86ww&pp=ygUrY29tbyBmYXplciB1bWEgYXByZXNlbnRhw6fDo28gZ29vZ2xlIHNsaWRlcw%3D%3D"
+          },
+          {
+            "title": "Artigo sobre apresentação de dados",
+            "url": "https://smartalk.com.br/blog/apresentacao-de-dados/"
+          },
+          {
+            "title": "Vídeo dicas para uma apresentação",
+            "url": "https://www.youtube.com/watch?v=rRt5_aDZsMk&pp=ygUrY29tbyBmYXplciB1bWEgYXByZXNlbnRhw6fDo28gZ29vZ2xlIHNsaWRlcw%3D%3D"
+          }
+        ]
+      },
       "csharp": {
         "title": "C#"
       },
@@ -9109,6 +10020,46 @@
       "es": "Trabajar con subconsultas y consultas anidadas",
       "pt": "Trabalhar com subconsultas e consultas aninhadas"
     },
+    {
+      "key": "sql/create-table",
+      "es": "Crear una tabla con CREATE TABLE",
+      "pt": "Criar uma tabela com CREATE TABLE"
+    },
+    {
+      "key": "sql/insert",
+      "es": "Agregar registros a un tabla con INSERT",
+      "pt": "Adição de registros a uma tabela com INSERT"
+    },
+    {
+      "key": "sql/update",
+      "es": "Actualizar registros con UPDATE",
+      "pt": "Atualizar registros com UPDATE"
+    },
+    {
+      "key": "sql/delete",
+      "es": "Eliminar registros con DELETE",
+      "pt": "Excluir registros com DELETE"
+    },
+    {
+      "key": "sql/primary-key",
+      "es": "Claves primarias (Primary Keys)",
+      "pt": "Claves primarias (Primary Keys)"
+    },
+    {
+      "key": "sql/foreign-key",
+      "es": "Claves externas (Foreign Keys)",
+      "pt": "Claves externas (Foreign Keys)"
+    },
+    {
+      "key": "sql/alter-table",
+      "es": "Cambiar la estrucutura de una tabla con ALTER TABLE",
+      "pt": "Cambiar la estrucutura de una tabla con ALTER TABLE"
+    },
+    {
+      "key": "sql/constraints",
+      "es": "Restricciones sobre los campos de una tabla (Constraints)",
+      "pt": "Restricciones sobre los campos de una tabla (Constraints)"
+    },
     {
       "key": "sql/tables",
       "es": "Creación y modificación de tablas",
@@ -9149,6 +10100,26 @@
       "es": "Respaldo y restauración (backup/restore)",
       "pt": "Backup e restauração (backup/restore)"
     },
+    {
+      "key": "postgres/setup",
+      "es": "Setup de una nueva instancia",
+      "pt": "Configuração de uma nova instância"
+    },
+    {
+      "key": "postgres/commands",
+      "es": "Comandos",
+      "pt": "Comandos"
+    },
+    {
+      "key": "postgres/backup",
+      "es": "Copias de seguridad (Backup)",
+      "pt": "Backup"
+    },
+    {
+      "key": "postgres/restore",
+      "es": "Restauración (Restore)",
+      "pt": "Restaurar (Restore)"
+    },
     {
       "key": "mysql",
       "es": "MySQL",
@@ -9194,6 +10165,31 @@
       "es": "Respaldo y restauración (backup/restore)",
       "pt": "Recuperação e restauração (backup/restore)"
     },
+    {
+      "key": "virtual-machines",
+      "es": "Máquinas Virtuales",
+      "pt": "Máquinas virtuais"
+    },
+    {
+      "key": "virtual-machines/setup",
+      "es": "Configurando máquinas virtuales",
+      "pt": "Configuração de máquinas virtuais"
+    },
+    {
+      "key": "shell",
+      "es": "Shell",
+      "pt": "Shell"
+    },
+    {
+      "key": "shell/scripts",
+      "es": "Shell Scripts",
+      "pt": "Shell Scripts"
+    },
+    {
+      "key": "shell/file-permissions",
+      "es": "Permisos de archivos (File Permissions)",
+      "pt": "Permissões de arquivo (File Permissions)"
+    },
     {
       "key": "slack",
       "es": "Slack",
@@ -9519,6 +10515,36 @@
       "es": "OpenAI API",
       "pt": "OpenAI API"
     },
+    {
+      "key": "data-analytics",
+      "es": "Análisis de datos",
+      "pt": "Análise de Dados"
+    },
+    {
+      "key": "data-analytics/data-preparation",
+      "es": "Cargar información a una base de datos",
+      "pt": "Carregar informações para um banco de dados"
+    },
+    {
+      "key": "data-analytics/data-exploration",
+      "es": "Hacer un análisis exploratorio",
+      "pt": "Realizar uma análise exploratória"
+    },
+    {
+      "key": "data-analytics/data-analysis",
+      "es": "Aplicar técnica de análisis",
+      "pt": "Aplicar técnica de análisis"
+    },
+    {
+      "key": "data-analytics/analysis-report",
+      "es": "Resumir información en un dashboard o reporte",
+      "pt": "Resumir informações em um painel ou relatório"
+    },
+    {
+      "key": "data-analytics/analysis-presentation",
+      "es": "Presentar Resultados",
+      "pt": "Apresentar Resultados"
+    },
     {
       "key": "agile-planning",
       "es": "Planificación ágil"
diff --git a/dist/projects.json b/dist/projects.json
index e44c0bf91..37c2bb85f 100644
--- a/dist/projects.json
+++ b/dist/projects.json
@@ -3,9 +3,9 @@
     "slug": "how-might-we",
     "repo": "Laboratoria/curriculum",
     "path": "projects/00-how-might-we",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.234Z",
+    "createdAt": "2024-06-28T20:56:03.795Z",
     "prefix": 0,
     "track": "ux",
     "tracks": [
@@ -50,9 +50,9 @@
     "slug": "trivia",
     "repo": "Laboratoria/curriculum",
     "path": "projects/00-trivia",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.275Z",
+    "createdAt": "2024-06-28T20:56:04.049Z",
     "prefix": 0,
     "track": "web-dev",
     "tracks": [
@@ -116,9 +116,9 @@
     "slug": "card-validation",
     "repo": "Laboratoria/curriculum",
     "path": "projects/01-card-validation",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.331Z",
+    "createdAt": "2024-06-28T20:56:03.938Z",
     "prefix": 1,
     "track": "web-dev",
     "tracks": [
@@ -215,9 +215,9 @@
     "slug": "cipher",
     "repo": "Laboratoria/curriculum",
     "path": "projects/01-cipher",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.339Z",
+    "createdAt": "2024-06-28T20:56:03.994Z",
     "prefix": 1,
     "track": "web-dev",
     "tracks": [
@@ -314,9 +314,9 @@
     "slug": "design-detectives",
     "repo": "Laboratoria/curriculum",
     "path": "projects/01-design-detectives",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.229Z",
+    "createdAt": "2024-06-28T20:56:03.877Z",
     "prefix": 1,
     "track": "ux",
     "tracks": [
@@ -418,9 +418,9 @@
     "slug": "text-analyzer",
     "repo": "Laboratoria/curriculum",
     "path": "projects/01-text-analyzer",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.385Z",
+    "createdAt": "2024-06-28T20:56:04.102Z",
     "prefix": 1,
     "track": "web-dev",
     "tracks": [
@@ -517,9 +517,9 @@
     "slug": "data-lovers",
     "repo": "Laboratoria/curriculum",
     "path": "projects/02-data-lovers",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.348Z",
+    "createdAt": "2024-06-28T20:56:03.774Z",
     "prefix": 2,
     "track": "web-dev",
     "tracks": [
@@ -634,9 +634,9 @@
     "slug": "dataverse",
     "repo": "Laboratoria/curriculum",
     "path": "projects/02-dataverse",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.426Z",
+    "createdAt": "2024-06-28T20:56:05.595Z",
     "prefix": 2,
     "track": "web-dev",
     "tracks": [
@@ -757,9 +757,9 @@
     "slug": "design-assigned",
     "repo": "Laboratoria/curriculum",
     "path": "projects/02-design-assigned",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.174Z",
+    "createdAt": "2024-06-28T20:56:05.269Z",
     "prefix": 2,
     "track": "ux",
     "tracks": [
@@ -915,9 +915,9 @@
     "slug": "emergency-room",
     "repo": "Laboratoria/curriculum",
     "path": "projects/02-emergency-room",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.283Z",
+    "createdAt": "2024-06-28T20:56:05.308Z",
     "prefix": 2,
     "track": "web-dev",
     "tracks": [
@@ -1032,9 +1032,9 @@
     "slug": "memory-match",
     "repo": "Laboratoria/curriculum",
     "path": "projects/02-memory-match",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:24.391Z",
+    "createdAt": "2024-06-28T20:56:05.574Z",
     "prefix": 2,
     "track": "web-dev",
     "tracks": [
@@ -1149,9 +1149,9 @@
     "slug": "mindset-mvp",
     "repo": "Laboratoria/curriculum",
     "path": "projects/02-mindset-mvp",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.090Z",
+    "createdAt": "2024-06-28T20:56:05.346Z",
     "prefix": 2,
     "track": "ux",
     "tracks": [
@@ -1280,9 +1280,9 @@
     "slug": "uxploradoras",
     "repo": "Laboratoria/curriculum",
     "path": "projects/02-uxploradoras",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.146Z",
+    "createdAt": "2024-06-28T20:56:05.378Z",
     "prefix": 2,
     "track": "ux",
     "tracks": [
@@ -1405,9 +1405,9 @@
     "slug": "uxploradoras-ui",
     "repo": "Laboratoria/curriculum",
     "path": "projects/02-uxploradoras-ui",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.124Z",
+    "createdAt": "2024-06-28T20:56:05.452Z",
     "prefix": 2,
     "track": "ux",
     "tracks": [
@@ -1485,9 +1485,9 @@
     "slug": "dataverse-chat",
     "repo": "Laboratoria/curriculum",
     "path": "projects/03-dataverse-chat",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.249Z",
+    "createdAt": "2024-06-28T20:56:07.045Z",
     "prefix": 3,
     "track": "web-dev",
     "tracks": [
@@ -1638,9 +1638,9 @@
     "slug": "design-lab",
     "repo": "Laboratoria/curriculum",
     "path": "projects/03-design-lab",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.096Z",
+    "createdAt": "2024-06-28T20:56:06.881Z",
     "prefix": 3,
     "track": "ux",
     "tracks": [
@@ -1811,9 +1811,9 @@
     "slug": "movie-challenge",
     "repo": "Laboratoria/curriculum",
     "path": "projects/03-movie-challenge",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.236Z",
+    "createdAt": "2024-06-28T20:56:06.971Z",
     "prefix": 3,
     "track": "web-dev",
     "tracks": [
@@ -1952,9 +1952,9 @@
     "slug": "social-network",
     "repo": "Laboratoria/curriculum",
     "path": "projects/03-social-network",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.190Z",
+    "createdAt": "2024-06-28T20:56:07.181Z",
     "prefix": 3,
     "track": "web-dev",
     "tracks": [
@@ -2096,9 +2096,9 @@
     "slug": "uxploradoras-ux",
     "repo": "Laboratoria/curriculum",
     "path": "projects/03-uxploradoras-ux",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.163Z",
+    "createdAt": "2024-06-28T20:56:07.019Z",
     "prefix": 3,
     "track": "ux",
     "tracks": [
@@ -2197,9 +2197,9 @@
     "slug": "burger-queen-api",
     "repo": "Laboratoria/curriculum",
     "path": "projects/04-burger-queen-api",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.238Z",
+    "createdAt": "2024-06-28T20:56:06.861Z",
     "prefix": 4,
     "track": "web-dev",
     "tracks": [
@@ -2365,9 +2365,9 @@
     "slug": "burger-queen-api-client",
     "repo": "Laboratoria/curriculum",
     "path": "projects/04-burger-queen-api-client",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.208Z",
+    "createdAt": "2024-06-28T20:56:07.112Z",
     "prefix": 4,
     "track": "web-dev",
     "tracks": [
@@ -2587,9 +2587,9 @@
     "slug": "guess-the-number",
     "repo": "Laboratoria/curriculum",
     "path": "projects/04-guess-the-number",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.157Z",
+    "createdAt": "2024-06-28T20:56:08.199Z",
     "prefix": 4,
     "track": "web-dev",
     "tracks": [
@@ -2797,9 +2797,9 @@
     "slug": "md-links",
     "repo": "Laboratoria/curriculum",
     "path": "projects/04-md-links",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.009Z",
+    "createdAt": "2024-06-28T20:56:08.585Z",
     "prefix": 4,
     "track": "web-dev",
     "tracks": [
@@ -2911,9 +2911,9 @@
     "slug": "notes",
     "repo": "Laboratoria/curriculum",
     "path": "projects/04-notes",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.933Z",
+    "createdAt": "2024-06-28T20:56:08.716Z",
     "prefix": 4,
     "track": "web-dev",
     "tracks": [
@@ -3099,9 +3099,9 @@
     "slug": "sqlzoo-mystery",
     "repo": "Laboratoria/curriculum",
     "path": "projects/04-sqlzoo-mystery",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.954Z",
+    "createdAt": "2024-06-28T20:56:08.435Z",
     "prefix": 4,
     "track": "web-dev",
     "tracks": [
@@ -3140,13 +3140,55 @@
     "cover": "https://images.unsplash.com/photo-1544383835-bda2bc66a55d",
     "thumb": 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"
   },
+  {
+    "slug": "artist-launch",
+    "repo": "Laboratoria/curriculum",
+    "path": "projects/05-artist-launch",
+    "version": "9.2.0",
+    "parserVersion": "6.0.0",
+    "createdAt": "2024-06-28T20:56:08.735Z",
+    "prefix": 5,
+    "track": "web-dev",
+    "tracks": [
+      "web-dev"
+    ],
+    "learningObjectives": [
+      {
+        "id": "data-analytics/data-preparation"
+      },
+      {
+        "id": "data-analytics/data-exploration"
+      },
+      {
+        "id": "data-analytics/data-analysis"
+      },
+      {
+        "id": "data-analytics/analysis-report"
+      },
+      {
+        "id": "data-analytics/analysis-presentation"
+      }
+    ],
+    "intl": {
+      "es": {
+        "title": "Artist Launch",
+        "summary": "<p>En este proyecto, vamos a explorar un conjunto de datos con el fin de\nidentificar patrones o características que puedan influir en la\npopularidad (cantidad de streams) de una canción en plataformas como\nSpotify, Apple Music y Deezer.</p>"
+      },
+      "pt": {
+        "title": "Artist Launch",
+        "summary": "<p>Neste projeto, vamos explorar um conjunto de dados com o objetivo de\nidentificar padrões ou características que possam influenciar na\npopularidade (quantidade de streams) de uma música em plataformas como\nSpotify, Apple Music e Deezer.</p>"
+      }
+    },
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"
+  },
   {
     "slug": "chat-app",
     "repo": "Laboratoria/curriculum",
     "path": "projects/05-chat-app",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.036Z",
+    "createdAt": "2024-06-28T20:56:08.523Z",
     "prefix": 5,
     "track": "web-dev",
     "tracks": [
@@ -3332,9 +3374,9 @@
     "slug": "fleet-management-api",
     "repo": "Laboratoria/curriculum",
     "path": "projects/05-fleet-management-api",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.044Z",
+    "createdAt": "2024-06-28T20:56:08.669Z",
     "prefix": 5,
     "track": "web-dev",
     "tracks": [
@@ -4041,9 +4083,9 @@
     "slug": "fleet-management-fullstack",
     "repo": "Laboratoria/curriculum",
     "path": "projects/05-fleet-management-fullstack",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.025Z",
+    "createdAt": "2024-06-28T20:56:10.033Z",
     "prefix": 5,
     "track": "web-dev",
     "tracks": [
@@ -4196,9 +4238,9 @@
     "slug": "movie-challenge-fw",
     "repo": "Laboratoria/curriculum",
     "path": "projects/05-movie-challenge-fw",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.005Z",
+    "createdAt": "2024-06-28T20:56:10.134Z",
     "prefix": 5,
     "track": "web-dev",
     "tracks": [
@@ -4412,9 +4454,9 @@
     "slug": "open-project",
     "repo": "Laboratoria/curriculum",
     "path": "projects/05-open-project",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.922Z",
+    "createdAt": "2024-06-28T20:56:10.159Z",
     "prefix": 5,
     "track": "web-dev",
     "tracks": [
@@ -4436,9 +4478,9 @@
     "slug": "roman-numerals",
     "repo": "Laboratoria/curriculum",
     "path": "projects/05-roman-numerals",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.956Z",
+    "createdAt": "2024-06-28T20:56:10.096Z",
     "prefix": 5,
     "track": "web-dev",
     "tracks": [
@@ -4528,9 +4570,9 @@
     "slug": "roman-numerals-slack",
     "repo": "Laboratoria/curriculum",
     "path": "projects/05-roman-numerals-slack",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:25.969Z",
+    "createdAt": "2024-06-28T20:56:10.049Z",
     "prefix": 5,
     "track": "web-dev",
     "tracks": [
@@ -4626,9 +4668,9 @@
     "slug": "social-network-fw",
     "repo": "Laboratoria/curriculum",
     "path": "projects/05-social-network-fw",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.018Z",
+    "createdAt": "2024-06-28T20:56:09.972Z",
     "prefix": 5,
     "track": "web-dev",
     "tracks": [
@@ -4838,13 +4880,100 @@
     "cover": "https://user-images.githubusercontent.com/110297/135919690-c24009e7-4d6a-4b4d-a046-d9ca73b5587e.png",
     "thumb": 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"
   },
+  {
+    "slug": "sql-student-database",
+    "repo": "Laboratoria/curriculum",
+    "path": "projects/05-sql-student-database",
+    "version": "9.2.0",
+    "parserVersion": "6.0.0",
+    "createdAt": "2024-06-28T20:56:10.001Z",
+    "prefix": 5,
+    "track": "web-dev",
+    "tracks": [
+      "web-dev"
+    ],
+    "learningObjectives": [
+      {
+        "id": "sql/select-where"
+      },
+      {
+        "id": "sql/create-table"
+      },
+      {
+        "id": "sql/insert"
+      },
+      {
+        "id": "sql/update"
+      },
+      {
+        "id": "sql/delete"
+      },
+      {
+        "id": "sql/primary-key"
+      },
+      {
+        "id": "sql/foreign-key"
+      },
+      {
+        "id": "sql/alter-table"
+      },
+      {
+        "id": "sql/join"
+      },
+      {
+        "id": "sql/group-by-having"
+      },
+      {
+        "id": "sql/order-by"
+      },
+      {
+        "id": "sql/aggregate-functions"
+      },
+      {
+        "id": "sql/constraints"
+      },
+      {
+        "id": "virtual-machines/setup"
+      },
+      {
+        "id": "postgres/setup"
+      },
+      {
+        "id": "postgres/commands"
+      },
+      {
+        "id": "postgres/backup"
+      },
+      {
+        "id": "postgres/restore"
+      },
+      {
+        "id": "shell/scripts"
+      },
+      {
+        "id": "shell/file-permissions"
+      }
+    ],
+    "intl": {
+      "es": {
+        "title": "Student Database",
+        "summary": "<p>En este proyecto seguirás dos tutoriales de freeCodeCamp para aprender\nlos comandos DDL (Data Definition Language) en SQL.</p>"
+      },
+      "pt": {
+        "title": "Student Database",
+        "summary": "<p>Neste projeto, você seguirá dois tutoriais do freeCodeCamp para aprender\nos comandos DDL (Data Definition Language) em SQL.</p>"
+      }
+    },
+    "cover": "https://images.unsplash.com/photo-1426927308491-6380b6a9936f",
+    "thumb": 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"
+  },
   {
     "slug": "wordpress-plugin",
     "repo": "Laboratoria/curriculum",
     "path": "projects/05-wordpress-plugin",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.803Z",
+    "createdAt": "2024-06-28T20:56:11.455Z",
     "prefix": 5,
     "track": "web-dev",
     "tracks": [
@@ -4940,9 +5069,9 @@
     "slug": "job-application",
     "repo": "Laboratoria/curriculum",
     "path": "projects/06-job-application",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.818Z",
+    "createdAt": "2024-06-28T20:56:11.441Z",
     "prefix": 6,
     "track": "web-dev",
     "tracks": [
diff --git a/dist/projects/artist-launch.json b/dist/projects/artist-launch.json
new file mode 100644
index 000000000..2efc959f5
--- /dev/null
+++ b/dist/projects/artist-launch.json
@@ -0,0 +1,42 @@
+{
+  "slug": "artist-launch",
+  "repo": "Laboratoria/curriculum",
+  "path": "projects/05-artist-launch",
+  "version": "9.2.0",
+  "parserVersion": "6.0.0",
+  "createdAt": "2024-06-28T20:56:08.735Z",
+  "prefix": 5,
+  "track": "web-dev",
+  "tracks": [
+    "web-dev"
+  ],
+  "learningObjectives": [
+    {
+      "id": "data-analytics/data-preparation"
+    },
+    {
+      "id": "data-analytics/data-exploration"
+    },
+    {
+      "id": "data-analytics/data-analysis"
+    },
+    {
+      "id": "data-analytics/analysis-report"
+    },
+    {
+      "id": "data-analytics/analysis-presentation"
+    }
+  ],
+  "intl": {
+    "es": {
+      "title": "Artist Launch",
+      "summary": "<p>En este proyecto, vamos a explorar un conjunto de datos con el fin de\nidentificar patrones o características que puedan influir en la\npopularidad (cantidad de streams) de una canción en plataformas como\nSpotify, Apple Music y Deezer.</p>"
+    },
+    "pt": {
+      "title": "Artist Launch",
+      "summary": "<p>Neste projeto, vamos explorar um conjunto de dados com o objetivo de\nidentificar padrões ou características que possam influenciar na\npopularidade (quantidade de streams) de uma música em plataformas como\nSpotify, Apple Music e Deezer.</p>"
+    }
+  },
+  "cover": "https://images.unsplash.com/photo-1535712593684-0efd191312bb",
+  "thumb": 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"
+}
diff --git a/dist/projects/burger-queen-api-client.json b/dist/projects/burger-queen-api-client.json
index 3a1cfa684..4a907e97d 100644
--- a/dist/projects/burger-queen-api-client.json
+++ b/dist/projects/burger-queen-api-client.json
@@ -2,9 +2,9 @@
   "slug": "burger-queen-api-client",
   "repo": "Laboratoria/curriculum",
   "path": "projects/04-burger-queen-api-client",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.208Z",
+  "createdAt": "2024-06-28T20:56:07.112Z",
   "prefix": 4,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/burger-queen-api.json b/dist/projects/burger-queen-api.json
index 5f04bed40..da778ed04 100644
--- a/dist/projects/burger-queen-api.json
+++ b/dist/projects/burger-queen-api.json
@@ -2,9 +2,9 @@
   "slug": "burger-queen-api",
   "repo": "Laboratoria/curriculum",
   "path": "projects/04-burger-queen-api",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.238Z",
+  "createdAt": "2024-06-28T20:56:06.861Z",
   "prefix": 4,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/card-validation.json b/dist/projects/card-validation.json
index 8899fd905..da1891b1e 100644
--- a/dist/projects/card-validation.json
+++ b/dist/projects/card-validation.json
@@ -2,9 +2,9 @@
   "slug": "card-validation",
   "repo": "Laboratoria/curriculum",
   "path": "projects/01-card-validation",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.331Z",
+  "createdAt": "2024-06-28T20:56:03.938Z",
   "prefix": 1,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/chat-app.json b/dist/projects/chat-app.json
index 4fce04f8c..3b1716e35 100644
--- a/dist/projects/chat-app.json
+++ b/dist/projects/chat-app.json
@@ -2,9 +2,9 @@
   "slug": "chat-app",
   "repo": "Laboratoria/curriculum",
   "path": "projects/05-chat-app",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.036Z",
+  "createdAt": "2024-06-28T20:56:08.523Z",
   "prefix": 5,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/cipher.json b/dist/projects/cipher.json
index a41cb009e..c2f3ba488 100644
--- a/dist/projects/cipher.json
+++ b/dist/projects/cipher.json
@@ -2,9 +2,9 @@
   "slug": "cipher",
   "repo": "Laboratoria/curriculum",
   "path": "projects/01-cipher",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.339Z",
+  "createdAt": "2024-06-28T20:56:03.994Z",
   "prefix": 1,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/data-lovers.json b/dist/projects/data-lovers.json
index f6efdba3a..cfe42d0ed 100644
--- a/dist/projects/data-lovers.json
+++ b/dist/projects/data-lovers.json
@@ -2,9 +2,9 @@
   "slug": "data-lovers",
   "repo": "Laboratoria/curriculum",
   "path": "projects/02-data-lovers",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.348Z",
+  "createdAt": "2024-06-28T20:56:03.774Z",
   "prefix": 2,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/dataverse-chat.json b/dist/projects/dataverse-chat.json
index 4f5cc37d1..1ef48d3d8 100644
--- a/dist/projects/dataverse-chat.json
+++ b/dist/projects/dataverse-chat.json
@@ -2,9 +2,9 @@
   "slug": "dataverse-chat",
   "repo": "Laboratoria/curriculum",
   "path": "projects/03-dataverse-chat",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.249Z",
+  "createdAt": "2024-06-28T20:56:07.045Z",
   "prefix": 3,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/dataverse.json b/dist/projects/dataverse.json
index 55d21437b..6ad147a87 100644
--- a/dist/projects/dataverse.json
+++ b/dist/projects/dataverse.json
@@ -2,9 +2,9 @@
   "slug": "dataverse",
   "repo": "Laboratoria/curriculum",
   "path": "projects/02-dataverse",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.426Z",
+  "createdAt": "2024-06-28T20:56:05.595Z",
   "prefix": 2,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/design-assigned.json b/dist/projects/design-assigned.json
index 973a88a28..75c8a4a5d 100644
--- a/dist/projects/design-assigned.json
+++ b/dist/projects/design-assigned.json
@@ -2,9 +2,9 @@
   "slug": "design-assigned",
   "repo": "Laboratoria/curriculum",
   "path": "projects/02-design-assigned",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.174Z",
+  "createdAt": "2024-06-28T20:56:05.269Z",
   "prefix": 2,
   "track": "ux",
   "tracks": [
diff --git a/dist/projects/design-detectives.json b/dist/projects/design-detectives.json
index 2e449f778..836a9baf7 100644
--- a/dist/projects/design-detectives.json
+++ b/dist/projects/design-detectives.json
@@ -2,9 +2,9 @@
   "slug": "design-detectives",
   "repo": "Laboratoria/curriculum",
   "path": "projects/01-design-detectives",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.229Z",
+  "createdAt": "2024-06-28T20:56:03.877Z",
   "prefix": 1,
   "track": "ux",
   "tracks": [
diff --git a/dist/projects/design-lab.json b/dist/projects/design-lab.json
index 758e87879..1e8b51091 100644
--- a/dist/projects/design-lab.json
+++ b/dist/projects/design-lab.json
@@ -2,9 +2,9 @@
   "slug": "design-lab",
   "repo": "Laboratoria/curriculum",
   "path": "projects/03-design-lab",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.096Z",
+  "createdAt": "2024-06-28T20:56:06.881Z",
   "prefix": 3,
   "track": "ux",
   "tracks": [
diff --git a/dist/projects/emergency-room.json b/dist/projects/emergency-room.json
index 5048374f9..523f05220 100644
--- a/dist/projects/emergency-room.json
+++ b/dist/projects/emergency-room.json
@@ -2,9 +2,9 @@
   "slug": "emergency-room",
   "repo": "Laboratoria/curriculum",
   "path": "projects/02-emergency-room",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.283Z",
+  "createdAt": "2024-06-28T20:56:05.308Z",
   "prefix": 2,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/fleet-management-api.json b/dist/projects/fleet-management-api.json
index 06ad12be4..33a43dcd0 100644
--- a/dist/projects/fleet-management-api.json
+++ b/dist/projects/fleet-management-api.json
@@ -2,9 +2,9 @@
   "slug": "fleet-management-api",
   "repo": "Laboratoria/curriculum",
   "path": "projects/05-fleet-management-api",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.044Z",
+  "createdAt": "2024-06-28T20:56:08.669Z",
   "prefix": 5,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/fleet-management-fullstack.json b/dist/projects/fleet-management-fullstack.json
index beaf5cdd4..2d4f7733d 100644
--- a/dist/projects/fleet-management-fullstack.json
+++ b/dist/projects/fleet-management-fullstack.json
@@ -2,9 +2,9 @@
   "slug": "fleet-management-fullstack",
   "repo": "Laboratoria/curriculum",
   "path": "projects/05-fleet-management-fullstack",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.025Z",
+  "createdAt": "2024-06-28T20:56:10.033Z",
   "prefix": 5,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/guess-the-number.json b/dist/projects/guess-the-number.json
index fdb536932..da56d7f68 100644
--- a/dist/projects/guess-the-number.json
+++ b/dist/projects/guess-the-number.json
@@ -2,9 +2,9 @@
   "slug": "guess-the-number",
   "repo": "Laboratoria/curriculum",
   "path": "projects/04-guess-the-number",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.157Z",
+  "createdAt": "2024-06-28T20:56:08.199Z",
   "prefix": 4,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/how-might-we.json b/dist/projects/how-might-we.json
index 836d63980..ec521e730 100644
--- a/dist/projects/how-might-we.json
+++ b/dist/projects/how-might-we.json
@@ -2,9 +2,9 @@
   "slug": "how-might-we",
   "repo": "Laboratoria/curriculum",
   "path": "projects/00-how-might-we",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.234Z",
+  "createdAt": "2024-06-28T20:56:03.795Z",
   "prefix": 0,
   "track": "ux",
   "tracks": [
diff --git a/dist/projects/job-application.json b/dist/projects/job-application.json
index b1f6b873b..913132d1a 100644
--- a/dist/projects/job-application.json
+++ b/dist/projects/job-application.json
@@ -2,9 +2,9 @@
   "slug": "job-application",
   "repo": "Laboratoria/curriculum",
   "path": "projects/06-job-application",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.818Z",
+  "createdAt": "2024-06-28T20:56:11.441Z",
   "prefix": 6,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/md-links.json b/dist/projects/md-links.json
index 5ce086776..96b6a5cd4 100644
--- a/dist/projects/md-links.json
+++ b/dist/projects/md-links.json
@@ -2,9 +2,9 @@
   "slug": "md-links",
   "repo": "Laboratoria/curriculum",
   "path": "projects/04-md-links",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.009Z",
+  "createdAt": "2024-06-28T20:56:08.585Z",
   "prefix": 4,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/memory-match.json b/dist/projects/memory-match.json
index 65e95871b..e1369c67d 100644
--- a/dist/projects/memory-match.json
+++ b/dist/projects/memory-match.json
@@ -2,9 +2,9 @@
   "slug": "memory-match",
   "repo": "Laboratoria/curriculum",
   "path": "projects/02-memory-match",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.391Z",
+  "createdAt": "2024-06-28T20:56:05.574Z",
   "prefix": 2,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/mindset-mvp.json b/dist/projects/mindset-mvp.json
index 166e49416..f3af6e4aa 100644
--- a/dist/projects/mindset-mvp.json
+++ b/dist/projects/mindset-mvp.json
@@ -2,9 +2,9 @@
   "slug": "mindset-mvp",
   "repo": "Laboratoria/curriculum",
   "path": "projects/02-mindset-mvp",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.090Z",
+  "createdAt": "2024-06-28T20:56:05.346Z",
   "prefix": 2,
   "track": "ux",
   "tracks": [
diff --git a/dist/projects/movie-challenge-fw.json b/dist/projects/movie-challenge-fw.json
index b3cc9d88b..11c6159f5 100644
--- a/dist/projects/movie-challenge-fw.json
+++ b/dist/projects/movie-challenge-fw.json
@@ -2,9 +2,9 @@
   "slug": "movie-challenge-fw",
   "repo": "Laboratoria/curriculum",
   "path": "projects/05-movie-challenge-fw",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.005Z",
+  "createdAt": "2024-06-28T20:56:10.134Z",
   "prefix": 5,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/movie-challenge.json b/dist/projects/movie-challenge.json
index bcc60ebf3..f6e35bf21 100644
--- a/dist/projects/movie-challenge.json
+++ b/dist/projects/movie-challenge.json
@@ -2,9 +2,9 @@
   "slug": "movie-challenge",
   "repo": "Laboratoria/curriculum",
   "path": "projects/03-movie-challenge",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.236Z",
+  "createdAt": "2024-06-28T20:56:06.971Z",
   "prefix": 3,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/notes.json b/dist/projects/notes.json
index 672fb21bf..f4555cb8e 100644
--- a/dist/projects/notes.json
+++ b/dist/projects/notes.json
@@ -2,9 +2,9 @@
   "slug": "notes",
   "repo": "Laboratoria/curriculum",
   "path": "projects/04-notes",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.933Z",
+  "createdAt": "2024-06-28T20:56:08.716Z",
   "prefix": 4,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/open-project.json b/dist/projects/open-project.json
index fa5a5b62c..c75236abd 100644
--- a/dist/projects/open-project.json
+++ b/dist/projects/open-project.json
@@ -2,9 +2,9 @@
   "slug": "open-project",
   "repo": "Laboratoria/curriculum",
   "path": "projects/05-open-project",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.922Z",
+  "createdAt": "2024-06-28T20:56:10.159Z",
   "prefix": 5,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/roman-numerals-slack.json b/dist/projects/roman-numerals-slack.json
index dc6b36a00..71034c532 100644
--- a/dist/projects/roman-numerals-slack.json
+++ b/dist/projects/roman-numerals-slack.json
@@ -2,9 +2,9 @@
   "slug": "roman-numerals-slack",
   "repo": "Laboratoria/curriculum",
   "path": "projects/05-roman-numerals-slack",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.969Z",
+  "createdAt": "2024-06-28T20:56:10.049Z",
   "prefix": 5,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/roman-numerals.json b/dist/projects/roman-numerals.json
index 9a865c639..c120f5ab4 100644
--- a/dist/projects/roman-numerals.json
+++ b/dist/projects/roman-numerals.json
@@ -2,9 +2,9 @@
   "slug": "roman-numerals",
   "repo": "Laboratoria/curriculum",
   "path": "projects/05-roman-numerals",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.956Z",
+  "createdAt": "2024-06-28T20:56:10.096Z",
   "prefix": 5,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/social-network-fw.json b/dist/projects/social-network-fw.json
index 7a60847ce..a5d117319 100644
--- a/dist/projects/social-network-fw.json
+++ b/dist/projects/social-network-fw.json
@@ -2,9 +2,9 @@
   "slug": "social-network-fw",
   "repo": "Laboratoria/curriculum",
   "path": "projects/05-social-network-fw",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.018Z",
+  "createdAt": "2024-06-28T20:56:09.972Z",
   "prefix": 5,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/social-network.json b/dist/projects/social-network.json
index b92abc122..4a3f40042 100644
--- a/dist/projects/social-network.json
+++ b/dist/projects/social-network.json
@@ -2,9 +2,9 @@
   "slug": "social-network",
   "repo": "Laboratoria/curriculum",
   "path": "projects/03-social-network",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.190Z",
+  "createdAt": "2024-06-28T20:56:07.181Z",
   "prefix": 3,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/sql-student-database.json b/dist/projects/sql-student-database.json
new file mode 100644
index 000000000..edec834b6
--- /dev/null
+++ b/dist/projects/sql-student-database.json
@@ -0,0 +1,87 @@
+{
+  "slug": "sql-student-database",
+  "repo": "Laboratoria/curriculum",
+  "path": "projects/05-sql-student-database",
+  "version": "9.2.0",
+  "parserVersion": "6.0.0",
+  "createdAt": "2024-06-28T20:56:10.001Z",
+  "prefix": 5,
+  "track": "web-dev",
+  "tracks": [
+    "web-dev"
+  ],
+  "learningObjectives": [
+    {
+      "id": "sql/select-where"
+    },
+    {
+      "id": "sql/create-table"
+    },
+    {
+      "id": "sql/insert"
+    },
+    {
+      "id": "sql/update"
+    },
+    {
+      "id": "sql/delete"
+    },
+    {
+      "id": "sql/primary-key"
+    },
+    {
+      "id": "sql/foreign-key"
+    },
+    {
+      "id": "sql/alter-table"
+    },
+    {
+      "id": "sql/join"
+    },
+    {
+      "id": "sql/group-by-having"
+    },
+    {
+      "id": "sql/order-by"
+    },
+    {
+      "id": "sql/aggregate-functions"
+    },
+    {
+      "id": "sql/constraints"
+    },
+    {
+      "id": "virtual-machines/setup"
+    },
+    {
+      "id": "postgres/setup"
+    },
+    {
+      "id": "postgres/commands"
+    },
+    {
+      "id": "postgres/backup"
+    },
+    {
+      "id": "postgres/restore"
+    },
+    {
+      "id": "shell/scripts"
+    },
+    {
+      "id": "shell/file-permissions"
+    }
+  ],
+  "intl": {
+    "es": {
+      "title": "Student Database",
+      "summary": "<p>En este proyecto seguirás dos tutoriales de freeCodeCamp para aprender\nlos comandos DDL (Data Definition Language) en SQL.</p>"
+    },
+    "pt": {
+      "title": "Student Database",
+      "summary": "<p>Neste projeto, você seguirá dois tutoriais do freeCodeCamp para aprender\nos comandos DDL (Data Definition Language) em SQL.</p>"
+    }
+  },
+  "cover": "https://images.unsplash.com/photo-1426927308491-6380b6a9936f",
+  "thumb": 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"
+}
diff --git a/dist/projects/sqlzoo-mystery.json b/dist/projects/sqlzoo-mystery.json
index ba202f2a0..9ca81845f 100644
--- a/dist/projects/sqlzoo-mystery.json
+++ b/dist/projects/sqlzoo-mystery.json
@@ -2,9 +2,9 @@
   "slug": "sqlzoo-mystery",
   "repo": "Laboratoria/curriculum",
   "path": "projects/04-sqlzoo-mystery",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.954Z",
+  "createdAt": "2024-06-28T20:56:08.435Z",
   "prefix": 4,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/text-analyzer.json b/dist/projects/text-analyzer.json
index 379a6df66..4ecd2d8da 100644
--- a/dist/projects/text-analyzer.json
+++ b/dist/projects/text-analyzer.json
@@ -2,9 +2,9 @@
   "slug": "text-analyzer",
   "repo": "Laboratoria/curriculum",
   "path": "projects/01-text-analyzer",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.385Z",
+  "createdAt": "2024-06-28T20:56:04.102Z",
   "prefix": 1,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/trivia.json b/dist/projects/trivia.json
index 959514d9e..396fc1a60 100644
--- a/dist/projects/trivia.json
+++ b/dist/projects/trivia.json
@@ -2,9 +2,9 @@
   "slug": "trivia",
   "repo": "Laboratoria/curriculum",
   "path": "projects/00-trivia",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:24.275Z",
+  "createdAt": "2024-06-28T20:56:04.049Z",
   "prefix": 0,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/projects/uxploradoras-ui.json b/dist/projects/uxploradoras-ui.json
index 45b2129c0..f01d960ec 100644
--- a/dist/projects/uxploradoras-ui.json
+++ b/dist/projects/uxploradoras-ui.json
@@ -2,9 +2,9 @@
   "slug": "uxploradoras-ui",
   "repo": "Laboratoria/curriculum",
   "path": "projects/02-uxploradoras-ui",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.124Z",
+  "createdAt": "2024-06-28T20:56:05.452Z",
   "prefix": 2,
   "track": "ux",
   "tracks": [
diff --git a/dist/projects/uxploradoras-ux.json b/dist/projects/uxploradoras-ux.json
index c09bb3acd..4480169b1 100644
--- a/dist/projects/uxploradoras-ux.json
+++ b/dist/projects/uxploradoras-ux.json
@@ -2,9 +2,9 @@
   "slug": "uxploradoras-ux",
   "repo": "Laboratoria/curriculum",
   "path": "projects/03-uxploradoras-ux",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.163Z",
+  "createdAt": "2024-06-28T20:56:07.019Z",
   "prefix": 3,
   "track": "ux",
   "tracks": [
diff --git a/dist/projects/uxploradoras.json b/dist/projects/uxploradoras.json
index f46589032..2875baa9d 100644
--- a/dist/projects/uxploradoras.json
+++ b/dist/projects/uxploradoras.json
@@ -2,9 +2,9 @@
   "slug": "uxploradoras",
   "repo": "Laboratoria/curriculum",
   "path": "projects/02-uxploradoras",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:25.146Z",
+  "createdAt": "2024-06-28T20:56:05.378Z",
   "prefix": 2,
   "track": "ux",
   "tracks": [
diff --git a/dist/projects/wordpress-plugin.json b/dist/projects/wordpress-plugin.json
index 7030ae553..a0ad31f5f 100644
--- a/dist/projects/wordpress-plugin.json
+++ b/dist/projects/wordpress-plugin.json
@@ -2,9 +2,9 @@
   "slug": "wordpress-plugin",
   "repo": "Laboratoria/curriculum",
   "path": "projects/05-wordpress-plugin",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.803Z",
+  "createdAt": "2024-06-28T20:56:11.455Z",
   "prefix": 5,
   "track": "web-dev",
   "tracks": [
diff --git a/dist/topics.json b/dist/topics.json
index d910de169..54f9767f4 100644
--- a/dist/topics.json
+++ b/dist/topics.json
@@ -3,9 +3,9 @@
     "slug": "browser",
     "repo": "Laboratoria/curriculum",
     "path": "topics/browser",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:27.197Z",
+    "createdAt": "2024-06-28T20:56:12.116Z",
     "track": "web-dev",
     "tracks": [
       "web-dev"
@@ -27,9 +27,9 @@
     "slug": "content-management",
     "repo": "Laboratoria/curriculum",
     "path": "topics/content-management",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.816Z",
+    "createdAt": "2024-06-28T20:56:11.578Z",
     "track": "ux",
     "tracks": [
       "ux"
@@ -47,9 +47,9 @@
     "slug": "css",
     "repo": "Laboratoria/curriculum",
     "path": "topics/css",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:27.123Z",
+    "createdAt": "2024-06-28T20:56:12.059Z",
     "track": "web-dev",
     "tracks": [
       "web-dev"
@@ -71,9 +71,9 @@
     "slug": "functional",
     "repo": "Laboratoria/curriculum",
     "path": "topics/functional",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:27.063Z",
+    "createdAt": "2024-06-28T20:56:11.848Z",
     "track": "web-dev",
     "tracks": [
       "web-dev"
@@ -91,9 +91,9 @@
     "slug": "html",
     "repo": "Laboratoria/curriculum",
     "path": "topics/html",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.971Z",
+    "createdAt": "2024-06-28T20:56:11.694Z",
     "track": "web-dev",
     "tracks": [
       "web-dev"
@@ -115,9 +115,9 @@
     "slug": "interaction-design",
     "repo": "Laboratoria/curriculum",
     "path": "topics/interaction-design",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.904Z",
+    "createdAt": "2024-06-28T20:56:13.668Z",
     "track": "ux",
     "tracks": [
       "ux"
@@ -135,9 +135,9 @@
     "slug": "intro-ux",
     "repo": "Laboratoria/curriculum",
     "path": "topics/intro-ux",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.896Z",
+    "createdAt": "2024-06-28T20:56:13.355Z",
     "track": "ux",
     "tracks": [
       "ux"
@@ -155,9 +155,9 @@
     "slug": "javascript",
     "repo": "Laboratoria/curriculum",
     "path": "topics/javascript",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:27.404Z",
+    "createdAt": "2024-06-28T20:56:14.184Z",
     "track": "web-dev",
     "tracks": [
       "web-dev"
@@ -179,9 +179,9 @@
     "slug": "learning-mindset",
     "repo": "Laboratoria/curriculum",
     "path": "topics/learning-mindset",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:26.713Z",
+    "createdAt": "2024-06-28T20:56:13.518Z",
     "track": "web-dev",
     "tracks": [
       "web-dev",
@@ -200,9 +200,9 @@
     "slug": "paradigms",
     "repo": "Laboratoria/curriculum",
     "path": "topics/paradigms",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:27.998Z",
+    "createdAt": "2024-06-28T20:56:13.898Z",
     "track": "web-dev",
     "tracks": [
       "web-dev"
@@ -220,9 +220,9 @@
     "slug": "prototyping",
     "repo": "Laboratoria/curriculum",
     "path": "topics/prototyping",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:27.887Z",
+    "createdAt": "2024-06-28T20:56:13.468Z",
     "track": "ux",
     "tracks": [
       "ux"
@@ -240,9 +240,9 @@
     "slug": "scm",
     "repo": "Laboratoria/curriculum",
     "path": "topics/scm",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:27.916Z",
+    "createdAt": "2024-06-28T20:56:13.616Z",
     "track": "web-dev",
     "tracks": [
       "web-dev"
@@ -264,9 +264,9 @@
     "slug": "shell",
     "repo": "Laboratoria/curriculum",
     "path": "topics/shell",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:27.877Z",
+    "createdAt": "2024-06-28T20:56:14.788Z",
     "track": "web-dev",
     "tracks": [
       "web-dev"
@@ -288,9 +288,9 @@
     "slug": "ux-research",
     "repo": "Laboratoria/curriculum",
     "path": "topics/ux-research",
-    "version": "9.1.0",
+    "version": "9.2.0",
     "parserVersion": "6.0.0",
-    "createdAt": "2024-06-24T15:52:27.978Z",
+    "createdAt": "2024-06-28T20:56:14.871Z",
     "track": "ux",
     "tracks": [
       "ux"
diff --git a/dist/topics/browser.json b/dist/topics/browser.json
index c6dfb134e..214d189e8 100644
--- a/dist/topics/browser.json
+++ b/dist/topics/browser.json
@@ -2,9 +2,9 @@
   "slug": "browser",
   "repo": "Laboratoria/curriculum",
   "path": "topics/browser",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:27.197Z",
+  "createdAt": "2024-06-28T20:56:12.116Z",
   "track": "web-dev",
   "tracks": [
     "web-dev"
diff --git a/dist/topics/content-management.json b/dist/topics/content-management.json
index a9a57a6cd..10dee3d61 100644
--- a/dist/topics/content-management.json
+++ b/dist/topics/content-management.json
@@ -2,9 +2,9 @@
   "slug": "content-management",
   "repo": "Laboratoria/curriculum",
   "path": "topics/content-management",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.816Z",
+  "createdAt": "2024-06-28T20:56:11.578Z",
   "track": "ux",
   "tracks": [
     "ux"
diff --git a/dist/topics/css.json b/dist/topics/css.json
index a6a2130c1..3c7623bc7 100644
--- a/dist/topics/css.json
+++ b/dist/topics/css.json
@@ -2,9 +2,9 @@
   "slug": "css",
   "repo": "Laboratoria/curriculum",
   "path": "topics/css",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:27.123Z",
+  "createdAt": "2024-06-28T20:56:12.059Z",
   "track": "web-dev",
   "tracks": [
     "web-dev"
diff --git a/dist/topics/functional.json b/dist/topics/functional.json
index 76083d29e..9b4294623 100644
--- a/dist/topics/functional.json
+++ b/dist/topics/functional.json
@@ -2,9 +2,9 @@
   "slug": "functional",
   "repo": "Laboratoria/curriculum",
   "path": "topics/functional",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:27.063Z",
+  "createdAt": "2024-06-28T20:56:11.848Z",
   "track": "web-dev",
   "tracks": [
     "web-dev"
@@ -67,7 +67,7 @@
               "slug": "discount",
               "prefix": "01",
               "path": "topics/functional/01-state/02-practice/01-discount",
-              "createdAt": "2024-06-24T15:52:27.062Z",
+              "createdAt": "2024-06-28T20:56:11.846Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -89,7 +89,7 @@
               "slug": "serialize-user",
               "prefix": "02",
               "path": "topics/functional/01-state/02-practice/02-serialize-user",
-              "createdAt": "2024-06-24T15:52:27.062Z",
+              "createdAt": "2024-06-28T20:56:11.847Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -137,7 +137,7 @@
               "slug": "parse-items",
               "prefix": "01",
               "path": "topics/functional/01-state/04-practice-2/01-parse-items",
-              "createdAt": "2024-06-24T15:52:27.063Z",
+              "createdAt": "2024-06-28T20:56:11.847Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -220,7 +220,7 @@
               "slug": "repeat",
               "prefix": "01",
               "path": "topics/functional/03-hof/02-practice/01-repeat",
-              "createdAt": "2024-06-24T15:52:27.063Z",
+              "createdAt": "2024-06-28T20:56:11.847Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -268,7 +268,7 @@
               "slug": "bound-logger",
               "prefix": "01",
               "path": "topics/functional/03-hof/04-practice-2/01-bound-logger",
-              "createdAt": "2024-06-24T15:52:27.063Z",
+              "createdAt": "2024-06-28T20:56:11.847Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -290,7 +290,7 @@
               "slug": "logger",
               "prefix": "02",
               "path": "topics/functional/03-hof/04-practice-2/02-logger",
-              "createdAt": "2024-06-24T15:52:27.063Z",
+              "createdAt": "2024-06-28T20:56:11.847Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -338,7 +338,7 @@
               "slug": "curry-n",
               "prefix": "01",
               "path": "topics/functional/03-hof/06-practice-3/01-curry-n",
-              "createdAt": "2024-06-24T15:52:27.063Z",
+              "createdAt": "2024-06-28T20:56:11.847Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -421,7 +421,7 @@
               "slug": "apply-discount",
               "prefix": "01",
               "path": "topics/functional/05-flow-control/02-practice/01-apply-discount",
-              "createdAt": "2024-06-24T15:52:27.063Z",
+              "createdAt": "2024-06-28T20:56:11.847Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -443,7 +443,7 @@
               "slug": "reduce",
               "prefix": "02",
               "path": "topics/functional/05-flow-control/02-practice/02-reduce",
-              "createdAt": "2024-06-24T15:52:27.063Z",
+              "createdAt": "2024-06-28T20:56:11.848Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -465,7 +465,7 @@
               "slug": "get-dependencies",
               "prefix": "03",
               "path": "topics/functional/05-flow-control/02-practice/03-get-dependencies",
-              "createdAt": "2024-06-24T15:52:27.063Z",
+              "createdAt": "2024-06-28T20:56:11.848Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -513,7 +513,7 @@
               "slug": "load-users",
               "prefix": "01",
               "path": "topics/functional/05-flow-control/04-practice-2/01-load-users",
-              "createdAt": "2024-06-24T15:52:27.063Z",
+              "createdAt": "2024-06-28T20:56:11.848Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
diff --git a/dist/topics/html.json b/dist/topics/html.json
index 2177b10cb..2c884c1a2 100644
--- a/dist/topics/html.json
+++ b/dist/topics/html.json
@@ -2,9 +2,9 @@
   "slug": "html",
   "repo": "Laboratoria/curriculum",
   "path": "topics/html",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.971Z",
+  "createdAt": "2024-06-28T20:56:11.694Z",
   "track": "web-dev",
   "tracks": [
     "web-dev"
diff --git a/dist/topics/interaction-design.json b/dist/topics/interaction-design.json
index 257688d91..17c1c3f14 100644
--- a/dist/topics/interaction-design.json
+++ b/dist/topics/interaction-design.json
@@ -2,9 +2,9 @@
   "slug": "interaction-design",
   "repo": "Laboratoria/curriculum",
   "path": "topics/interaction-design",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.904Z",
+  "createdAt": "2024-06-28T20:56:13.668Z",
   "track": "ux",
   "tracks": [
     "ux"
diff --git a/dist/topics/intro-ux.json b/dist/topics/intro-ux.json
index 3a3b21662..e02fefc96 100644
--- a/dist/topics/intro-ux.json
+++ b/dist/topics/intro-ux.json
@@ -2,9 +2,9 @@
   "slug": "intro-ux",
   "repo": "Laboratoria/curriculum",
   "path": "topics/intro-ux",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.896Z",
+  "createdAt": "2024-06-28T20:56:13.355Z",
   "track": "ux",
   "tracks": [
     "ux"
diff --git a/dist/topics/javascript.json b/dist/topics/javascript.json
index e2094ae5a..5182829e3 100644
--- a/dist/topics/javascript.json
+++ b/dist/topics/javascript.json
@@ -2,9 +2,9 @@
   "slug": "javascript",
   "repo": "Laboratoria/curriculum",
   "path": "topics/javascript",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:27.404Z",
+  "createdAt": "2024-06-28T20:56:14.184Z",
   "track": "web-dev",
   "tracks": [
     "web-dev"
@@ -119,7 +119,7 @@
               "slug": "coin-convert",
               "prefix": "01",
               "path": "topics/javascript/01-basics/06-exercises/01-coin-convert",
-              "createdAt": "2024-06-24T15:52:27.402Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -145,7 +145,7 @@
               "slug": "restaurant-bill",
               "prefix": "02",
               "path": "topics/javascript/01-basics/06-exercises/02-restaurant-bill",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -300,7 +300,7 @@
               "slug": "power-of-two",
               "prefix": "01",
               "path": "topics/javascript/02-flow-control/06-code-challenges/01-power-of-two",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -328,7 +328,7 @@
               "slug": "reverse",
               "prefix": "02",
               "path": "topics/javascript/02-flow-control/06-code-challenges/02-reverse",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -355,7 +355,7 @@
               "slug": "count-vowels",
               "prefix": "03",
               "path": "topics/javascript/02-flow-control/06-code-challenges/03-count-vowels",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -382,7 +382,7 @@
               "slug": "even-or-odd",
               "prefix": "04",
               "path": "topics/javascript/02-flow-control/06-code-challenges/04-even-or-odd",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -409,7 +409,7 @@
               "slug": "max",
               "prefix": "05",
               "path": "topics/javascript/02-flow-control/06-code-challenges/05-max",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -436,7 +436,7 @@
               "slug": "is-prime",
               "prefix": "06",
               "path": "topics/javascript/02-flow-control/06-code-challenges/06-is-prime",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -463,7 +463,7 @@
               "slug": "can-drive-and-vote",
               "prefix": "07",
               "path": "topics/javascript/02-flow-control/06-code-challenges/07-can-drive-and-vote",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -490,7 +490,7 @@
               "slug": "are-odd",
               "prefix": "08",
               "path": "topics/javascript/02-flow-control/06-code-challenges/08-are-odd",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -692,7 +692,7 @@
               "slug": "compute-average-length-of-words",
               "prefix": "01",
               "path": "topics/javascript/04-arrays/06-practice/01-compute-average-length-of-words",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -719,7 +719,7 @@
               "slug": "get-nth-element",
               "prefix": "02",
               "path": "topics/javascript/04-arrays/06-practice/02-get-nth-element",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -746,7 +746,7 @@
               "slug": "convert-double-space-to-single",
               "prefix": "03",
               "path": "topics/javascript/04-arrays/06-practice/03-convert-double-space-to-single",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -773,7 +773,7 @@
               "slug": "are-valid-credentials",
               "prefix": "04",
               "path": "topics/javascript/04-arrays/06-practice/04-are-valid-credentials",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -800,7 +800,7 @@
               "slug": "find-pair-for-sum",
               "prefix": "05",
               "path": "topics/javascript/04-arrays/06-practice/05-find-pair-for-sum",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -827,7 +827,7 @@
               "slug": "filter-odd-elements",
               "prefix": "06",
               "path": "topics/javascript/04-arrays/06-practice/06-filter-odd-elements",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -854,7 +854,7 @@
               "slug": "find-shortest-word-among-mixed-elements",
               "prefix": "07",
               "path": "topics/javascript/04-arrays/06-practice/07-find-shortest-word-among-mixed-elements",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -881,7 +881,7 @@
               "slug": "find-smallest-number-among-mixed-elements",
               "prefix": "08",
               "path": "topics/javascript/04-arrays/06-practice/08-find-smallest-number-among-mixed-elements",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -908,7 +908,7 @@
               "slug": "get-longest-word-of-mixed-elements",
               "prefix": "09",
               "path": "topics/javascript/04-arrays/06-practice/09-get-longest-word-of-mixed-elements",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -935,7 +935,7 @@
               "slug": "get-largest-number-among-mixed-elements",
               "prefix": "10",
               "path": "topics/javascript/04-arrays/06-practice/10-get-largest-number-among-mixed-elements",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -962,7 +962,7 @@
               "slug": "compute-sum-of-all-elements",
               "prefix": "11",
               "path": "topics/javascript/04-arrays/06-practice/11-compute-sum-of-all-elements",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -989,7 +989,7 @@
               "slug": "compute-sum-between",
               "prefix": "12",
               "path": "topics/javascript/04-arrays/06-practice/12-compute-sum-between",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1016,7 +1016,7 @@
               "slug": "get-longest-of-three-words",
               "prefix": "13",
               "path": "topics/javascript/04-arrays/06-practice/13-get-longest-of-three-words",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1043,7 +1043,7 @@
               "slug": "find-shortest-of-three-words",
               "prefix": "14",
               "path": "topics/javascript/04-arrays/06-practice/14-find-shortest-of-three-words",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1070,7 +1070,7 @@
               "slug": "calculate-bill-total",
               "prefix": "15",
               "path": "topics/javascript/04-arrays/06-practice/15-calculate-bill-total",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1097,7 +1097,7 @@
               "slug": "convert-score-to-grade",
               "prefix": "16",
               "path": "topics/javascript/04-arrays/06-practice/16-convert-score-to-grade",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.182Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1221,7 +1221,7 @@
               "slug": "add-array-property",
               "prefix": "00",
               "path": "topics/javascript/05-objects/06-practice/00-add-array-property",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1248,7 +1248,7 @@
               "slug": "object-properties-counter",
               "prefix": "01",
               "path": "topics/javascript/05-objects/06-practice/01-object-properties-counter",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1275,7 +1275,7 @@
               "slug": "remove-string-values-longer-than",
               "prefix": "02",
               "path": "topics/javascript/05-objects/06-practice/02-remove-string-values-longer-than",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1302,7 +1302,7 @@
               "slug": "get-element-of-array-property",
               "prefix": "03",
               "path": "topics/javascript/05-objects/06-practice/03-get-element-of-array-property",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1329,7 +1329,7 @@
               "slug": "greet-customer",
               "prefix": "04",
               "path": "topics/javascript/05-objects/06-practice/04-greet-customer",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1356,7 +1356,7 @@
               "slug": "transform-first-and-last",
               "prefix": "05",
               "path": "topics/javascript/05-objects/06-practice/05-transform-first-and-last",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1383,7 +1383,7 @@
               "slug": "get-all-keys",
               "prefix": "06",
               "path": "topics/javascript/05-objects/06-practice/06-get-all-keys",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1410,7 +1410,7 @@
               "slug": "from-list-to-object",
               "prefix": "07",
               "path": "topics/javascript/05-objects/06-practice/07-from-list-to-object",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1437,7 +1437,7 @@
               "slug": "list-all-values",
               "prefix": "08",
               "path": "topics/javascript/05-objects/06-practice/08-list-all-values",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1464,7 +1464,7 @@
               "slug": "transform-employee-data",
               "prefix": "09",
               "path": "topics/javascript/05-objects/06-practice/09-transform-employee-data",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1491,7 +1491,7 @@
               "slug": "convert-object-to-list",
               "prefix": "10",
               "path": "topics/javascript/05-objects/06-practice/10-convert-object-to-list",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1518,7 +1518,7 @@
               "slug": "get-sum-of-all-elements-at-property",
               "prefix": "11",
               "path": "topics/javascript/05-objects/06-practice/11-get-sum-of-all-elements-at-property",
-              "createdAt": "2024-06-24T15:52:27.403Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1545,7 +1545,7 @@
               "slug": "get-product-of-all-elements-at-property",
               "prefix": "12",
               "path": "topics/javascript/05-objects/06-practice/12-get-product-of-all-elements-at-property",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1572,7 +1572,7 @@
               "slug": "add-object-property",
               "prefix": "13",
               "path": "topics/javascript/05-objects/06-practice/13-add-object-property",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1599,7 +1599,7 @@
               "slug": "add-full-name-property",
               "prefix": "14",
               "path": "topics/javascript/05-objects/06-practice/14-add-full-name-property",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1674,7 +1674,7 @@
               "slug": "currency-amount",
               "prefix": "01",
               "path": "topics/javascript/06-strings/02-practice/01-currency-amount",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.181Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1701,7 +1701,7 @@
               "slug": "first-and-last-to-upper",
               "prefix": "02",
               "path": "topics/javascript/06-strings/02-practice/02-first-and-last-to-upper",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.180Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1948,7 +1948,7 @@
               "slug": "validate-string",
               "prefix": "01",
               "path": "topics/javascript/09-errors/05-practice/01-validate-string",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.183Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -1974,7 +1974,7 @@
               "slug": "parse-json",
               "prefix": "02",
               "path": "topics/javascript/09-errors/05-practice/02-parse-json",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.184Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -2096,7 +2096,7 @@
               "slug": "say-hello",
               "prefix": "01",
               "path": "topics/javascript/10-debugging/03-code-challenges/01-say-hello",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.184Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -2122,7 +2122,7 @@
               "slug": "create-array",
               "prefix": "02",
               "path": "topics/javascript/10-debugging/03-code-challenges/02-create-array",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.184Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -2148,7 +2148,7 @@
               "slug": "calculate-tip",
               "prefix": "03",
               "path": "topics/javascript/10-debugging/03-code-challenges/03-calculate-tip",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.184Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -2174,7 +2174,7 @@
               "slug": "tell-fortune",
               "prefix": "04",
               "path": "topics/javascript/10-debugging/03-code-challenges/04-tell-fortune",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.184Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -2200,7 +2200,7 @@
               "slug": "what-to-wear",
               "prefix": "05",
               "path": "topics/javascript/10-debugging/03-code-challenges/05-what-to-wear",
-              "createdAt": "2024-06-24T15:52:27.404Z",
+              "createdAt": "2024-06-28T20:56:14.184Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
diff --git a/dist/topics/learning-mindset.json b/dist/topics/learning-mindset.json
index 45b6f9088..d92fb17d8 100644
--- a/dist/topics/learning-mindset.json
+++ b/dist/topics/learning-mindset.json
@@ -2,9 +2,9 @@
   "slug": "learning-mindset",
   "repo": "Laboratoria/curriculum",
   "path": "topics/learning-mindset",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:26.713Z",
+  "createdAt": "2024-06-28T20:56:13.518Z",
   "track": "web-dev",
   "tracks": [
     "web-dev",
diff --git a/dist/topics/paradigms.json b/dist/topics/paradigms.json
index cd558d1e0..76fd2889f 100644
--- a/dist/topics/paradigms.json
+++ b/dist/topics/paradigms.json
@@ -2,9 +2,9 @@
   "slug": "paradigms",
   "repo": "Laboratoria/curriculum",
   "path": "topics/paradigms",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:27.998Z",
+  "createdAt": "2024-06-28T20:56:13.898Z",
   "track": "web-dev",
   "tracks": [
     "web-dev"
@@ -91,7 +91,7 @@
               "slug": "print-primes",
               "prefix": "01",
               "path": "topics/paradigms/01-paradigms/04-imperative-exercise/01-print-primes",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.896Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -151,7 +151,7 @@
               "slug": "get-primes",
               "prefix": "01",
               "path": "topics/paradigms/01-paradigms/07-procedural-exercise/01-get-primes",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.896Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -199,7 +199,7 @@
               "slug": "notes",
               "prefix": "01",
               "path": "topics/paradigms/01-paradigms/09-oop-exercise/01-notes",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.896Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -247,7 +247,7 @@
               "slug": "notes",
               "prefix": "01",
               "path": "topics/paradigms/01-paradigms/11-fp-exercise/01-notes",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.896Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -354,7 +354,7 @@
               "slug": "simple-objects",
               "prefix": "01",
               "path": "topics/paradigms/03-proto/04-ejercicios/01-simple-objects",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.896Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -376,7 +376,7 @@
               "slug": "proto",
               "prefix": "02",
               "path": "topics/paradigms/03-proto/04-ejercicios/02-proto",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -398,7 +398,7 @@
               "slug": "dynamic-lookups",
               "prefix": "03",
               "path": "topics/paradigms/03-proto/04-ejercicios/03-dynamic-lookups",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -420,7 +420,7 @@
               "slug": "property-assignments",
               "prefix": "04",
               "path": "topics/paradigms/03-proto/04-ejercicios/04-property-assignments",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -442,7 +442,7 @@
               "slug": "arrays-and-objects",
               "prefix": "05",
               "path": "topics/paradigms/03-proto/04-ejercicios/05-arrays-and-objects",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -464,7 +464,7 @@
               "slug": "object-create",
               "prefix": "06",
               "path": "topics/paradigms/03-proto/04-ejercicios/06-object-create",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -486,7 +486,7 @@
               "slug": "dot-new",
               "prefix": "07",
               "path": "topics/paradigms/03-proto/04-ejercicios/07-dot-new",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -508,7 +508,7 @@
               "slug": "constructor-functions",
               "prefix": "08",
               "path": "topics/paradigms/03-proto/04-ejercicios/08-constructor-functions",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -530,7 +530,7 @@
               "slug": "implicit-this",
               "prefix": "09",
               "path": "topics/paradigms/03-proto/04-ejercicios/09-implicit-this",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -552,7 +552,7 @@
               "slug": "function-prototype",
               "prefix": "10",
               "path": "topics/paradigms/03-proto/04-ejercicios/10-function-prototype",
-              "createdAt": "2024-06-24T15:52:27.998Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -671,7 +671,7 @@
               "slug": "hof",
               "prefix": "01",
               "path": "topics/paradigms/06-composition/05-exercises/01-hof",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -693,7 +693,7 @@
               "slug": "map",
               "prefix": "02",
               "path": "topics/paradigms/06-composition/05-exercises/02-map",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -715,7 +715,7 @@
               "slug": "filter",
               "prefix": "03",
               "path": "topics/paradigms/06-composition/05-exercises/03-filter",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -737,7 +737,7 @@
               "slug": "reduce",
               "prefix": "04",
               "path": "topics/paradigms/06-composition/05-exercises/04-reduce",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -759,7 +759,7 @@
               "slug": "arrow-functions",
               "prefix": "05",
               "path": "topics/paradigms/06-composition/05-exercises/05-arrow-functions",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -781,7 +781,7 @@
               "slug": "closures",
               "prefix": "06",
               "path": "topics/paradigms/06-composition/05-exercises/06-closures",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.897Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -803,7 +803,7 @@
               "slug": "factories",
               "prefix": "07",
               "path": "topics/paradigms/06-composition/05-exercises/07-factories",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.898Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -825,7 +825,7 @@
               "slug": "object-assign",
               "prefix": "08",
               "path": "topics/paradigms/06-composition/05-exercises/08-object-assign",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.898Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
@@ -847,7 +847,7 @@
               "slug": "composition",
               "prefix": "09",
               "path": "topics/paradigms/06-composition/05-exercises/09-composition",
-              "createdAt": "2024-06-24T15:52:27.997Z",
+              "createdAt": "2024-06-28T20:56:13.898Z",
               "track": "web-dev",
               "tracks": [
                 "web-dev"
diff --git a/dist/topics/prototyping.json b/dist/topics/prototyping.json
index 722ade5f9..4b70ecf7a 100644
--- a/dist/topics/prototyping.json
+++ b/dist/topics/prototyping.json
@@ -2,9 +2,9 @@
   "slug": "prototyping",
   "repo": "Laboratoria/curriculum",
   "path": "topics/prototyping",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:27.887Z",
+  "createdAt": "2024-06-28T20:56:13.468Z",
   "track": "ux",
   "tracks": [
     "ux"
diff --git a/dist/topics/scm.json b/dist/topics/scm.json
index 30c1dcf80..eda449ca2 100644
--- a/dist/topics/scm.json
+++ b/dist/topics/scm.json
@@ -2,9 +2,9 @@
   "slug": "scm",
   "repo": "Laboratoria/curriculum",
   "path": "topics/scm",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:27.916Z",
+  "createdAt": "2024-06-28T20:56:13.616Z",
   "track": "web-dev",
   "tracks": [
     "web-dev"
diff --git a/dist/topics/shell.json b/dist/topics/shell.json
index 8ffe2c934..93b8870c5 100644
--- a/dist/topics/shell.json
+++ b/dist/topics/shell.json
@@ -2,9 +2,9 @@
   "slug": "shell",
   "repo": "Laboratoria/curriculum",
   "path": "topics/shell",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:27.877Z",
+  "createdAt": "2024-06-28T20:56:14.788Z",
   "track": "web-dev",
   "tracks": [
     "web-dev"
diff --git a/dist/topics/ux-research.json b/dist/topics/ux-research.json
index f4f25c6f1..47f85202c 100644
--- a/dist/topics/ux-research.json
+++ b/dist/topics/ux-research.json
@@ -2,9 +2,9 @@
   "slug": "ux-research",
   "repo": "Laboratoria/curriculum",
   "path": "topics/ux-research",
-  "version": "9.1.0",
+  "version": "9.2.0",
   "parserVersion": "6.0.0",
-  "createdAt": "2024-06-24T15:52:27.978Z",
+  "createdAt": "2024-06-28T20:56:14.871Z",
   "track": "ux",
   "tracks": [
     "ux"
diff --git a/package-lock.json b/package-lock.json
index feef3a4c9..d8a345344 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,17 +1,17 @@
 {
   "name": "curriculum",
-  "version": "9.1.1",
+  "version": "9.2.0",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "curriculum",
-      "version": "9.1.1",
+      "version": "9.2.0",
       "license": "CC-BY-SA-4.0",
       "devDependencies": {
         "@laboratoria/curriculum-parser": "^6.0.0",
         "@laboratoria/mdlint": "^1.2.3",
-        "@laboratoria/sdk-js": "^8.0.0",
+        "@laboratoria/sdk-js": "^8.1.0",
         "@octokit/rest": "^20.1.1",
         "chai": "^4.4.1",
         "eslint-config-airbnb": "^19.0.4",
@@ -2178,11 +2178,10 @@
       }
     },
     "node_modules/@laboratoria/sdk-js": {
-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/@laboratoria/sdk-js/-/sdk-js-8.0.0.tgz",
-      "integrity": "sha512-546ppNj3s3NXz4oOdl6p9IpaEj1QYgtQduAhmS4GOqTRyeunUoDjCKgrDzCu1X6+yUPEuxE8NOV+TEKrAyc3Lg==",
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/@laboratoria/sdk-js/-/sdk-js-8.1.0.tgz",
+      "integrity": "sha512-INwK6Gw7UAbYSvnhp06UX8n2StH3vnfsBGurZbzyQdgy9bYogc2FVz8uziuWNbEpefQwkzXB5O9Fn/LVjuYgAQ==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
         "blueimp-md5": "^2.19.0",
         "firebase": "^10.12.2"
diff --git a/package.json b/package.json
index ff513b185..24de26c6c 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "curriculum",
-  "version": "9.1.1",
+  "version": "9.2.0",
   "description": "Proyectos y tópicos del curriculum del Bootcamp de @Laboratoria",
   "repository": "Laboratoria/curriculum",
   "keywords": [
@@ -31,7 +31,7 @@
   "devDependencies": {
     "@laboratoria/curriculum-parser": "^6.0.0",
     "@laboratoria/mdlint": "^1.2.3",
-    "@laboratoria/sdk-js": "^8.0.0",
+    "@laboratoria/sdk-js": "^8.1.0",
     "@octokit/rest": "^20.1.1",
     "chai": "^4.4.1",
     "eslint-config-airbnb": "^19.0.4",
diff --git a/projects/05-artist-launch/thumb.png b/projects/05-artist-launch/thumb.png
new file mode 100644
index 000000000..5b119d974
Binary files /dev/null and b/projects/05-artist-launch/thumb.png differ
diff --git a/projects/05-sql-student-database/thumb.png b/projects/05-sql-student-database/thumb.png
new file mode 100644
index 000000000..a7dceb0ac
Binary files /dev/null and b/projects/05-sql-student-database/thumb.png differ