Customizing and Automating Generative AI with AWS Bedrock

Generative AI is transforming how we build software, but off-the-shelf models do not always meet specific business needs. To build truly impactful applications, developers must learn how to tailor, refine, and automate these models safely and efficiently. This text-based course guides you through the process of customizing and automating sophisticated model workflows. You will gain a clear, conceptual understanding of how to adapt foundation models to your unique data, optimize their outputs, and build automated agents that execute complex tasks. What you will learn: - Understand the foundational architecture of AWS Bedrock and generative AI model customization. - Apply fine-tuning and retrieval-augmented generation techniques to adapt models to proprietary data. - Optimize model performance and manage token costs using advanced prompt engineering patterns. - Configure Bedrock Agents to automate multi-step workflows and integrate with external APIs. - Evaluate model outputs using modern metrics to ensure high-quality and safe responses. - Practice implementing secure data boundaries and privacy controls for custom AI solutions. The course begins with essential terminology and the core mechanics of foundation models before guiding you through step-by-step written explanations of customization techniques, optimization strategies, and automated agent orchestration. This program is designed for software developers, technical builders, and AI enthusiasts who want to move beyond basic API calls. No prior experience with machine learning or AWS Bedrock is required. Start reading today to unlock the full potential of customized generative AI.