Want to create real-world AI applications? This course takes you from theory to AWS AI development. This course helps developers, data scientists, and AI enthusiasts maximize AWS-managed AI services.

Through guided exercises and real AWS tools, you'll learn to work with generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). Explore how prompt engineering influences intelligent AI interactions and how hyperparameters impact Gen-AI output. Unlike traditional courses that only explain concepts, this course equips you to build, fine-tune, and deploy AI models using services like Amazon Bedrock, Comprehend, Polly, Transcribe, Lex, and Amazon Q. You'll gain firsthand experience with prompt design, model evaluation, and AI service integration—all within the AWS ecosystem. This is the second course in the AWS Certified AI Practitioner Specialization and is perfect for learners who want to apply AI with confidence using AWS. By the end, you won't just know AWS tools—you'll know how to use them. Walk away with the practical skills to create, optimize, and deploy AI solutions that work in the real world.