Advanced Generative AI Development on AWS (AGAID) – Outline

Detailed Course Outline

Day 1

Module 1: Foundation Model Selection and Configuration

  • Enterprise foundation model evaluation framework
  • Dynamic model selection architecture patterns
  • Resilient foundation model system designs
  • Cost optimization and economic modeling

Module 2: Advanced Data Processing for Foundation Models

  • Comprehensive data validation and quality assurance
  • Multi-modal data processing pipelines
  • Input optimization and performance enhancement

Module 3: Vector Databases and Retrieval Augmentation

  • Enterprise vector database architecture
  • Advanced document processing and chunking strategies
  • Sophisticated retrieval system implementation
  • Hands-on Lab: Develop Retrieval Augmented Generation (RAG) Applications with Amazon
  • Bedrock Knowledge Bases

Day 2

Module 4: Prompt Engineering and Governance

  • Advanced prompt engineering frameworks
  • Complex prompt orchestration systems
  • Enterprise prompt governance and management
  • Hands-on Lab: Develop conversation pattern with Amazon Bedrock APIs

Module 5: Implementing Agentic AI Frameworks with Amazon Bedrock AgentCore

  • Agentic AI Frameworks
  • Amazon Bedrock AgentCore

Module 6: AI Safety and Security

  • Comprehensive content safety implementation
  • Privacy-preserving AI architecture
  • AI governance and compliance frameworks

Day 3

Module 7: Performance Optimization and Cost Management

  • Token efficiency and cost optimization
  • High-performance system architecture
  • Intelligent caching systems implementation
  • Hands-on Lab: Building Secure and Responsible Gen AI with Guardrails for Amazon Bedrock

Module 8: Monitoring and Observability for Generative AI

  • Foundation model monitoring systems
  • Business impact and value management
  • AI-specific troubleshooting and diagnostics

Module 9: Testing, Validation, and Continuous Improvement

  • Comprehensive AI evaluation frameworks
  • Quality assurance and continuous improvement
  • RAG system evaluation and optimization

Module 10: Enterprise Integration Patterns

  • Enterprise connectivity and integration architecture
  • Secure access and identity management
  • Cross-environment and hybrid deployments

Module 11: Course wrap-up

  • Next steps and additional resources
  • Course summary