Foundations of Generative AI with AWS

Generative artificial intelligence is transforming how we build applications, analyze data, and automate workflows. To leverage this technology effectively, you need a solid grasp of its foundational principles, terminology, and practical evaluation methods. This text-only course helps you transition from a beginner to a confident practitioner capable of explaining generative AI architectures, selecting appropriate AWS services, and applying modern evaluation metrics to natural language processing models. What you'll learn: Understand foundational generative AI concepts, including large language models and transformer architectures; Explore key AWS services designed for deploying and scaling generative AI solutions; Learn essential evaluation metrics to measure the accuracy, bias, and performance of natural language processing applications; Master the basics of prompt engineering and retrieval-augmented generation (RAG) to improve model outputs; Apply systematic testing approaches to ensure your AI implementations are reliable and secure. The course starts with essential terminology and foundational theory before guiding you through cloud-based AI tools, practical evaluation frameworks, and modern architectural patterns. You will learn through clear, written explanations and conceptual walkthroughs designed for self-paced study. This course is designed for beginners, developers, and business professionals looking for a clear introduction to generative AI with no prior machine learning experience required. Start reading today to build a strong, future-proof foundation in generative AI.