Advanced Generative AI Development on AWS

About this course

Build production-grade generative AI on AWS. You will select and configure foundation models, prepare data, implement vector search and retrieval, govern prompts, integrate tools and agents, and secure, optimise and monitor your solution.

What you'll learn

• Develop production-ready generative AI solutions using AWS services that meet enterprise requirements for security, scalability, and reliability
• Evaluate and select appropriate foundation models for specific business use cases, including benchmarking performance and implementing dynamic model selection architectures
• Design and implement resilient foundation model systems with circuit breakers, cross-region deployment, and graceful degradation strategies
• Build comprehensive data processing pipelines for multi-modal inputs, including validation workflows and optimization techniques
• Implement sophisticated vector database solutions using Amazon Bedrock Knowledge
• Bases, OpenSearch, and hybrid approaches for effective retrieval augmentation
• Create and manage advanced prompt engineering frameworks, including chain-of-thought reasoning and enterprise-wide prompt governance systems
• Develop autonomous AI agents using Amazon Bedrock Agents, implementing complex reasoning patterns and tool integration capabilities
• Implement comprehensive AI safety and security controls, including content filtering, privacy preservation, and adversarial testing mechanisms
• Optimize performance and manage costs through token efficiency strategies, batching implementations, and intelligent caching systems
• Design and implement comprehensive monitoring and observability solutions for foundation model applications
• Create systematic testing and validation frameworks for continuous quality assurance of AI applications
• Integrate generative AI solutions within enterprise environments using secure, compliant, and scalable architectural pattern

Curriculum

Who it's for

Developers and ML engineers taking generative AI from prototype to production.

Before you start

• AWS Technical Essentials
• Generative AI Essentials on AWS
• 2 or more years of experience building production grade applications on AWS or with open-source technologies, general AI/ML or data engineering experience
• 1 year of hands-on experience implementing generative AI solutions