Building Generative AI Apps with AWS Bedrock

Ready to build powerful generative AI applications without the complexity of managing your own models? AWS Bedrock provides the tools to get started, but knowing how to use them effectively is key to creating truly useful solutions. This course guides you through the essentials of AWS Bedrock, teaching you how to select the right foundation models and integrate them into your applications. You will learn to move beyond simple prompts to create sophisticated, automated, and context-aware AI systems tailored to specific business needs. What you'll learn: - Understand the core concepts of AWS Bedrock, its architecture, and the available foundation models. - Master prompt engineering techniques to effectively control and guide model outputs for better results. - Implement Retrieval-Augmented Generation (RAG) to provide your models with custom, up-to-date knowledge. - Learn the fundamentals of model fine-tuning to adapt foundation models for specialized tasks. - Build and configure Agents for Bedrock to automate complex, multi-step workflows. - Apply best practices for optimizing performance and managing costs when working with large language models. - Practice provisioning your Bedrock resources using basic infrastructure-as-code principles. The course begins with fundamental generative AI principles and Bedrock terminology, then progresses to practical techniques for building and customizing your applications through written examples. This course is designed for developers and aspiring AI practitioners. No prior experience with generative AI or AWS Bedrock is required to get started. Begin building your next generation of intelligent applications today.