Amazon Web Services: Agentic AI Foundations

Agentic AI Foundations offers a comprehensive introduction to the rapidly evolving world of agentic artificial intelligence. The course guides learners through the journey from large language models to intelligent agents, highlighting key innovations and milestones that have shaped the field. Participants will explore the core concepts of agentic AI, including different agent types, workflow patterns, and real-world applications, while gaining practical insights into tools such as Amazon Q Developer, Amazon Q Business, and Amazon Bedrock Agents.

Through a blend of conceptual learning and hands-on exploration, learners will develop the skills needed to build, integrate, and manage agentic AI solutions using leading AWS technologies. The course empowers participants to create their own agentic projects, monitor performance, and ensure interoperability, making it ideal for those seeking to expand their expertise in AI development. With recommended prerequisites in generative AI and AWS, this course provides a clear and practical starting point for anyone looking to advance in the agentic AI landscape.

Contents:

• From LLMs to Agents to trace the journey from large language models to intelligent agents, highlighting key innovations and milestones.
• Exploring Agentic AI to define agentic AI, explore different types of agents, and examine their real-world applications.
• Understanding Agentic AI Workflows to analyse common workflow patterns and review how Amazon Bedrock structures agentic processes.
• Introducing Autonomous Agents to uncover how autonomous agents operate, collaborate, and leverage frameworks like ReAct and ReWoo within AWS solutions.
• Amazon Q and Agentic Development Tools to explore Amazon Q and Kiro, focusing on tools that streamline agentic AI development in AWS environments.
• Agentic AI with Amazon Bedrock to learn how to build, integrate, and manage agentic AI solutions using Amazon Bedrock Agents and AgentCore.
• Building DIY Solutions to empower learners to create, monitor, and ensure interoperability in their own agentic AI projects.
• Course Wrap-up to summarise key learnings and provide guidance for further exploration and next steps.

This course is intended for software developers and technical professionals seeking foundational knowledge in Agentic AI. It is suitable for those interested in understanding the evolution from large language models to intelligent agents, core agent types, workflow patterns, and practical applications using Amazon Q Developer, Amazon Q Business, and Amazon Bedrock Agents. Recommended prerequisites include Generative AI Essentials or equivalent work experience, along with basic AWS knowledge and software development experience. The course provides a clear starting point for expanding skills in agentic AI solutions.

Agentic AI Foundations, issued by AWS upon successful completion of the exam.