Generative AI is reshaping modern application development, and AWS provides powerful tools to build AI-driven solutions. This course introduces Amazon Bedrock and Amazon Q Developer, covering model access, Bedrock playgrounds, and AI-assisted development workflows. You will explore core concepts such as AI, generative AI, machine learning, deep learning, foundation models, large language models, and prompt engineering. Through hands-on examples, you will work with Amazon Titan, Claude, Llama, and Stability AI models for text and image generation, while learning how Amazon Q Developer integrates with AWS Lambda and Amazon Bedrock. The course concludes with model configuration and troubleshooting. You will learn to use inference parameters such as temperature, Top P, Top K, maximum length, system prompts, and stop sequences, while resolving common issues including access, validation, timeout, and permission errors. By the end of this course, you will be able to build, configure, and troubleshoot generative AI applications using Amazon Bedrock, Amazon Q Developer, and Python on AWS.