Building Secure Generative AI with Bedrock Agents and Guardrails

Deploying generative AI in production requires more than just generating text; it demands structured automation and strict safety standards. This course guides you through orchestrating multi-step AI tasks and implementing robust safety filters on AWS. You will transition from basic prompting to designing autonomous, secure AI systems. Through written explanations and practical architectural walkthroughs, you will understand how to connect foundation models to your company's data and APIs securely. What you'll learn: Understand foundational generative AI concepts and the Bedrock ecosystem; Configure Bedrock Agents to orchestrate multi-step business tasks automatically; Implement Guardrails to block harmful content, redact sensitive data, and ensure compliance; Integrate Retrieval-Augmented Generation patterns to ground your model's responses; Apply modern observability practices to monitor and debug agentic workflows. The course begins with core terminology and the fundamentals of managed foundation models on AWS. You will then progress step-by-step through configuring autonomous agents, setting up API integrations, and defining safety guardrails for production environments. This course is designed for developers, cloud enthusiasts, and technology learners who are new to AI agents and want to build secure, automated workflows on AWS. No prior experience with generative AI engineering is required. Start building secure, automated AI systems today.