Introduction to Generative AI and Amazon Bedrock

Generative AI workloads are moving from prototypes into production systems, and Amazon Bedrock is one AWS service that teams use to build enterprise AI applications. Engineers working on production AI systems need to move beyond prompt-level demos and understand how to design and build scalable, reliable, and secure AI systems that integrate with cloud infrastructure, data stores, identity systems, monitoring, and deployment pipelines. I developed this course from my experience with distributed cloud systems. One pattern I kept seeing was that many developers understood LLM concepts, but struggled to operationalize AI systems in production environments. This course was designed to bridge that gap. You’ll work through prompt engineering, RAG pipelines, fine-tuning, Bedrock Agents, Prompt Flows, multimodal workflows, and multi-agent orchestration. The course also covers integrations with Lambda, OpenSearch, SageMaker, API Gateway, and monitoring tools to build event-driven AI architectures with observability, security, and built-in guardrails. If you want practical experience building production-grade generative AI systems on AWS, this course is the best place to start.