AWS Generative AI for Developers: Building Intelligent Applications

How do you build and deploy secure, scalable generative AI applications as a developer? This text-based course guides you through utilizing AWS services to integrate foundation models directly into your software projects without needing a background in machine learning. You will transition from understanding basic generative AI concepts to designing and implementing production-ready AI workflows. You will learn how to interact with industry-leading models, manage prompt engineering, and connect external data sources using modern retrieval patterns. What you'll learn: Understand foundational generative AI terminology, model types, and AWS architecture basics; Configure Amazon Bedrock to access and orchestrate diverse foundation models; Apply effective prompt engineering techniques directly in your application code; Implement Retrieval-Augmented Generation (RAG) patterns using vector databases on AWS; Secure and monitor your AI workloads using cloud security and identity management tools; Practice building text generation and summarization workflows through structured coding exercises. The course begins with essential AI concepts and AWS service configurations before guiding you through hands-on code implementations and architectural best practices. Designed specifically for software developers and engineers new to AI, this course requires only basic programming knowledge and no prior machine learning experience. Start reading today to build the next generation of intelligent, cloud-native applications.