What the AI/ML Black Belt program track is all about?

• Promote a community of APN Builders with significant hands-on knowledge and practical experience
• Promote peer-to-peer technical discussion between leading builders to share best practices, advice, and support from AWS technical community
• Improve the Partner’s technical delivery capabilities with hands-on learning
• Increase visibility and trust within the technical community and AWS organization
• Motivate the Builder to dive even deeper in their specialized domain using AWS services

Instructions to log in to AWS Event Engine Accounts

1. Click the URL

2. Enter the AWS provided hash code in the text box and click "Accept Terms and Login". Your instructor will provide a team hash code for you to run the labs of the day

3. Enter either your Amazon retail account credetials or request an OTP to be sent to your personal email address

4. Follow below screen instructions to get to AWS Console

   

Additional Learning Materials

Data Engineering

• Implementation Guide – Data Lake on AWS
• Analytics Lens AWS Well-Architected Framework
• Migrate and deploy your Apache Hive metastore on Amazon EMR
• Load data incrementally and optimized Parquet writer with AWS Glue
• Best practices to scale Apache Spark jobs and partition data with AWS Glue
• Streaming ETL with Apache Flink and Amazon Kinesis Data Analytics
• Analyze your Amazon S3 spend using AWS Glue and Amazon Redshift
• Best Practices for Securing Amazon EMR
• Build an automatic data profiling and reporting solution with Amazon EMR, AWS Glue, and Amazon QuickSight
• Ingest Excel data automatically into Amazon QuickSight

MLops:

• awesome-mlops

AWS MLU

SageMaker Examples

Other resources to learn ML and DL:

• Practical Deep Learning with Jypyter notebooks
• Fast.ai
• D2l SageMaker Notebooks
• DeepLearning.ai