Advanced Generative AI Development on AWS

The Advanced Generative AI Development on AWS course is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses how organisations can build comprehensive generative AI strategies that align with broader business objectives.

This advanced instructor-led training builds expertise across the entire generative AI stack, from foundation models to enterprise integration patterns. You will work with advanced data processing techniques, vector databases and retrieval augmentation, prompt engineering and governance, agentic AI systems, AI safety and security, performance optimisation, cost management, monitoring, observability, testing and validation.
The course follows AWS’s proven model for generative AI adoption, progressing from experimentation to production-ready implementations.

Course objectives

In this course, you will learn to:

• 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 and dynamic model selection architectures
• Design and implement resilient foundation model systems with circuit breakers, cross-region deployment and degradation strategies
• Build comprehensive data processing pipelines for multi-modal inputs with validation workflows and optimisation techniques
• Implement advanced 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
• Explain components of agentic AI frameworks and Amazon Bedrock AgentCore
• Implement AI safety and security controls, including content filtering, privacy preservation and adversarial testing
• Optimise performance and manage costs through token efficiency strategies, batching and intelligent caching
• Design monitoring and observability solutions for foundation model applications
• Create testing and validation frameworks for continuous quality assurance of AI applications
• Integrate generative AI solutions into enterprise environments using secure, compliant and scalable architectural patterns

Prerequisites

We recommend that attendees of this course have:

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

Target audience

This course is intended for:

• Software developers
• Technical professionals

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