06_aws_for_ai_engineering

AWS for AI Engineering

Introduction

Amazon Web Services (AWS) provides a comprehensive suite of tools and services for building, training, and deploying AI models. This guide covers the essential AWS services for AI engineering.

Topics Covered

1. Core AI Services

• Amazon SageMaker
  • Model building and training
  • Model deployment
  • Model monitoring
• Amazon Bedrock
  • Foundation models access
  • Model customization
• Amazon Q
  • AI-powered development assistant

2. Infrastructure Services

• AWS EC2 (Elastic Compute Cloud)
  • Compute resources
  • GPU instances
  • Auto-scaling
• AWS S3 (Simple Storage Service)
  • Data storage
  • Model artifacts
  • Training datasets
• AWS VPC (Virtual Private Cloud)
  • Network isolation
  • Security groups
  • Subnets

Learning Resources

Documentation and Guides

• AWS AI/ML Documentation
• Amazon SageMaker Documentation
• Amazon Bedrock Documentation
• Amazon Q Documentation
• AWS EC2 Documentation
• AWS S3 Documentation
• AWS VPC Documentation

Courses and Tutorials

• AWS Machine Learning Training
• AWS AI/ML Solutions Lab
• AWS AI/ML Blog