About
Course Duration : 8 Weeks ( 40 Hours) The Agentic AI Program is a comprehensive, hands-on training program designed to help learners understand, design, and implement autonomous, goal-driven AI systems using AWS services. This program is built around the official Agentic AI Foundations classroom content from Amazon Web Services and expands it into an in-depth 2-month learning journey with extended labs, real-world projects, and architecture design practice. Participants will explore how agentic AI differs from traditional LLM-based systems and gain hands-on experience using tools such as: • Amazon Q Developer • Amazon Quick Suite • Kiro • Strands Agents SDK • Amazon Bedrock AgentCore By the end of the program, learners will be able to design production-ready agentic AI systems with observability, interoperability, and scalable architecture patterns. We will cover : 1. Explains limitations of traditional LLMs (reactive, no long-term memory, limited planning). 2. Introduces agentic AI with goal-setting, reasoning, memory, and autonomous action. 3. Covers core components: planning, tools, execution, feedback loops. 4. Compares workflow, autonomous, and hybrid agents with real-world use cases. 5. Teaches agentic design patterns and orchestration strategies. 6. Uses AWS tools like Amazon Bedrock for model integration and flows. 7. Implements enterprise agents with Amazon Bedrock AgentCore. 8. Accelerates development using Amazon Q Developer and Strands Agents SDK. 9. Focuses on observability, logging, interoperability, and scalable production architecture. 10. Concludes with a capstone project to design and deploy a real-world autonomous AI agent on AWS.