AI is evolving - from chatbots to autonomous agents that can plan, act, and deliver outcomes. Join our free Agentic AI Foundations course and learn how to design and build intelligent, goal driven AI systems using AWS.
This hands on, expert led course introduces Agentic AI - the next phase of AI innovation - and shows how organisations can move beyond simple prompts to autonomous, decision making systems powered by AWS services like Amazon Bedrock Agents and Amazon Q.
Why Attend?
- Free of charge – 1 full-day course at no cost to you, for limited dates in 2026 only
- AWS-aligned training delivered by AI and cloud experts
- Learn cutting edge Agentic AI concepts shaping the future of AI
- Explore real AWS tools used to build autonomous systems
- Hands on labs and practical demonstrations
- Ideal next step after generative AI fundamentals
What You’ll Learn
By the end of this course you’ll be able to:
- Summarise the evolution of Agentic AI and define what makes something 'agentic'
- Identify core components of agentic systems
- Distinguish between workflow, autonomous, and hybrid agents
- Compare AWS service options for Agentic AI
- Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and Kiro
- Explain Amazon Bedrock AgentCore and Amazon Bedrock Agents fundamentals
- Identify basic implementation patterns for Agentic AI
- Describe observability and interoperability patterns for production agentic AI systems
Target Audience
Perfect for professionals ready to go beyond basic AI and explore agent based systems, including:
- Software developers and engineers new to Agentic AI seeking foundational knowledge
- Technical professionals exploring AI capabilities and interested in core components and applications of agentic AI
- Development teams evaluating Agentic AI solutions and needing to differentiate between agent types
- AWS users expanding into Agentic AI, including current users of
- Amazon Q Developer, Amazon Q Business, and Amazon Bedrock Agents
Course Outline
Module 1: From LLMs to Agents
- Understanding Large Language Models (LLMs)
- Innovations powering agents
- Evolution timeline from LLMs to Agents
Module 2: Exploring Agentic AI
- Understanding Agentic AI
- Types of AI agents
- Agentic AI applications
Module 3: Understanding Agentic AI Workflows
- Workflow patterns
- Amazon Bedrock flows overview
Module 4: Introducing Autonomous Agents
- How Autonomous Agents work
- ReAct
- ReWoo
- Multi-agent collaboration
- AWS Agentic AI solutions
Module 5: Amazon Q and Agentic Development Tools
- Amazon Q Developer
- Amazon Q Business
- Amazon Q in AWS Services
- Kiro: AI-powered IDE with spec-driven development
Module 6: Agentic AI with Amazon
- Amazon Bedrock Agents
- Amazon Bedrock AgentCore
- Hands-on lab: Explore Amazon Bedrock Agents integrated with Amazon Bedrock Knowledge
- Bases and Amazon Bedrock Guardrails
Module 7: Building DIY Solutions
- DIY solutions
- Observability and Monitoring
- Agent Interoperability
Module 8: Course Wrap-up
- Next steps and additional resources
- Course summary
Prerequisites
- Basic AWS familiarity and software development experience
- Generative AI Essentials or equivalent work experience
Complete the form below to book your place.
Please ensure you are available to attend the course on this specific date.
Please note that places on this course are limited. Registrations are capped at a maximum of two participants per company.