Building Generative AI Applications with Amazon Bedrock

Generative artificial intelligence is transforming how we build software, but integrating these powerful models into real-world applications can feel complex. This text-based course guides you through Amazon Bedrock, a fully managed service that simplifies building and scaling generative AI solutions. You will transition from understanding basic AI concepts to designing functional, secure AI applications. By reading through structured explanations and practicing with written code examples, you will gain the confidence to implement retrieval-augmented generation and leverage foundation models effectively. What you'll learn: Understand the foundational concepts of generative AI and the architecture of Amazon Bedrock; Configure and manage foundation models for text generation and analysis; Create and integrate Amazon Bedrock Knowledge Bases to implement retrieval-augmented generation (RAG) patterns; Apply prompt engineering techniques to optimize model outputs; Implement security, privacy, and data protection best practices within your AI workflows; Design end-to-end application workflows that connect user queries to AI-driven responses. The course begins with core terminology and foundational AI concepts before guiding you through model selection, prompt design, and knowledge base integration. You will progress systematically from basic API calls to constructing complete application logic. This course is designed for beginning developers, students, and professionals who want a clear introduction to AI application development. No prior experience with generative AI or cloud infrastructure is required, though a basic understanding of programming concepts is helpful. Start reading today to begin building your own generative AI applications.