Master AI engineering on AWS by building intelligent applications using Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI architectures. This course covers large language models (LLMs), prompt engineering, embeddings and vector databases, Amazon Bedrock, SageMaker, knowledge bases, RAG pipelines, autonomous AI agents, tool calling, orchestration workflows, and secure AI application design. Learn to integrate AI with AWS services such as Lambda, API Gateway, DynamoDB, OpenSearch, S3, and Step Functions, while applying best practices for scalability, security, cost optimization, and responsible AI. Hands-on projects prepare you to design and deploy production-ready GenAI systems on AWS.
