Course 9031
The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives. This advanced 3-day instructor-led training builds expertise across the entire generative AI stack - from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks.
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Online
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In this course, you will:
Prerequisites
Who Should Attend
Module 1: Foundation Model Selection and Configuration
Module 2: Advanced Data Processing for Foundation Models
Module 3: Vector Databases and Retrieval Augmentation
Module 4: Prompt Engineering and Governance
Module 5: Agentic AI and Tool Integration
Module 6: AI Safety and Security
Module 7: Performance Optimization and Cost Management
Module 8: Monitoring and Observability for Generative AI
Module 9: Testing, Validation, and Continuous Improvement
Module 10: Enterprise Integration Patterns
Module 11: Course wrap-up
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The course focuses on advanced generative AI development using services such as Amazon Bedrock, Amazon SageMaker, and related AWS AI/ML capabilities. Participants explore foundation models, prompt engineering techniques, model customization, secure deployment architectures, and strategies for integrating generative AI into enterprise applications.
Yes. This is a lab-intensive course that combines instructor-led instruction with guided technical exercises. Participants design, build, and deploy generative AI solutions in AWS environments, gaining practical experience with model selection, inference optimization, governance controls, and performance tuning.
This is an advanced-level course intended for professionals who already understand core AWS services and basic machine learning concepts. Participants should be comfortable working with cloud architectures and APIs. The course moves beyond introductory generative AI topics to focus on solution design, model customization, performance optimization, and production deployment patterns.
