AWS Generative AI and Bedrock for Developers

Generative artificial intelligence is transforming how developers build software, but getting started with cloud-based AI services can feel overwhelming. This course provides a clear, step-by-step introduction to integrating powerful foundation models into your applications using AWS. You will transition from understanding basic AI terminology to confidently designing and deploying generative AI solutions. By exploring the core concepts of cloud-hosted foundation models, prompt optimization, and application integration, you will gain the skills needed to build modern, AI-driven features. What you'll learn: - Understand the core architecture of generative AI, foundation models, and cloud-based AI services - Configure and interact with leading foundation models using AWS Bedrock - Apply fundamental prompt engineering techniques to optimize model responses for specific use cases - Implement Retrieval-Augmented Generation (RAG) patterns to connect models with external data sources - Manage model parameters, inference settings, and API calls programmatically - Evaluate and select the right foundation models based on performance, cost, and use case The course starts with essential AI terminology and foundational concepts before moving into practical text-based explanations on API integration, prompt design, and data retrieval architectures. Designed specifically for software developers and cloud enthusiasts who are new to generative AI, this course requires no prior machine learning background. Start your journey into cloud-based generative AI development today.