AI & Data Science Course

Clear steps to follow

• CGPA: To show you are a genuine student.
• Typing Speed: 100+ wpm for writing quickly.
• LeetCode: 200+ problems for strong coding and problem-solving skills.
• Regular LinkedIn Writing: At least 2 posts a week to learn in public, improve writing skills and make personal brand.
• Learn AI & Data Science Skills: To get started in the tech field.
• Participate in International Hackathons: For hands-on real-world experience, improving English communication skills, and working under tight deadlines.
• Teaching (Optional): For building confidence, delivering your thought process to an audience, leadership, and better communication.

Course Syllabus

1. Git & GitHub

• Version control basics
• Collaborating on projects using GitHub

2. Python Programming

• Core Python syntax and concepts
• Object Oriented Programming (OOP)
• Writing clean and efficient code

3. FastAPI / Flask Server & Database (Postgres)

• Building RESTful APIs with FastAPI or Flask
• Database design and management using PostgreSQL

4. Langchain LLM (GPTs, Gemini)

• Understanding Large Language Models (LLMs)
• Implementing GPTs and other LLMs for various applications

5. Machine Learning & Deep Learning Theory

• Supervised and unsupervised learning
• Neural networks and deep learning fundamentals

6. Libraries and Tools:

• Scikit-learn: Machine learning library for classical models
• NumPy & Pandas: Data manipulation and analysis
• Matplotlib: Data visualization
• TensorFlow (Keras) & PyTorch: Deep learning frameworks

7. Docker

• Containerization concepts
• Deploying applications using Docker

8. Cloud Platforms (AWS, Google Cloud, Azure)

• Introduction to cloud computing
• Deploying and managing applications on cloud platforms

How to Contribute

1. Fork this repository: Click the "Fork" button at the top-right of this page to create your own copy of this repo.
2. Clone the forked repository: On your machine, use git clone <your-forked-repo-url> to clone your copy.
3. Create a new branch: Use git checkout -b <branch-name> to create and switch to a new branch.
4. Make changes: Add your contributions or improvements.
5. Commit and push your changes: Use git add ., git commit -m "Your message", and git push origin <branch-name>.
6. Create a pull request: Go to your forked repository on GitHub and click on "New pull request."

Feel free to explore, learn, and contribute!