Building Generative AI Applications on AWS with Bedrock

Generative AI is transforming how we build software, but navigating cloud-based AI tools can feel overwhelming. This course simplifies the process by guiding you through AWS and Bedrock, the premier managed service for foundation models. In this text-based course, you will transition from a beginner to a confident builder of cloud-based AI solutions. You will read clear explanations, understand foundational AI concepts, and learn how to integrate powerful language models into your cloud infrastructure. What you'll learn: - Understand the fundamental architecture of generative AI and foundation models on AWS - Configure Bedrock to access, customize, and deploy leading AI models - Apply modern prompt engineering techniques and Retrieval-Augmented Generation (RAG) patterns - Evaluate model performance and select the right model for your business needs - Implement security, privacy, and guardrails to protect your generative AI applications The course starts with essential terminology and the basics of cloud-based machine learning before moving into configuration scenarios. You will progress through written conceptual breakdowns and text-based integration exercises designed to solidify your practical understanding. This course is designed for beginners, developers, and cloud enthusiasts looking to enter the world of AI on AWS. No prior machine learning experience is required to succeed. Start reading today to begin building your own generative AI applications in the cloud.