Advanced Generative AI Development on AWS

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

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: Agentic AI and Tool Integration

• Agentic AI architecture and evolution
• Amazon Bedrock Agents implementation
• AWS Agentic AI service ecosystem
• Tool integration and production observability

Module 6: AI Safety and Security

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

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