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AW141: Agentic AI Foundations

Training: AWS™ - Cloud - Artificial Intelligence

In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS™ services. You’ll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Amazon Q, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.

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Possible course languages: German

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Agenda:

From LLMs to Agents
- Understanding Large Language Models (LLMs)
- Innovations powering agents
- Evolution timeline from LLMs to Agents

Exploring Agentic AI
- Understanding Agentic AI
- Types of AI agents
- Agentic AI applications

Understanding Agentic AI Workflows
- Workflow patterns
- Amazon Bedrock flows overview

Introducing Autonomous Agents
- How Autonomous Agents work
- ReAct
- ReWoo
- Multi-agent collaboration
- AWS™ Agentic AI solutions

Amazon Q und Agentic Development Tools
- Amazon Q Developer
- Amazon Q Business
- Amazon Q in AWS™ Services
- Kiro: AI-powered IDE with spec-driven development

Agentic AI with Amazon Bedrock
- Amazon Bedrock Agents
- Amazon Bedrock AgentCore
- Hands-on lab: Explore Amazon Bedrock Agents integrated with Amazon Bedrock Knowledge Bases and Amazon Bedrock Guardrails

Building DIY Solutions
- DIY solutions
- Observability and Monitoring
- Agent Interoperability

Course Wrap-up
- Next steps and additional resources
- Course summary

Objectives:

In the workshop AW141 Agentic AI Foundations, you will learn to:

• Summarize 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:

The training AW141 Agentic AI Foundations is intended for:

• Software developers 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

Prerequisites:

We recommend that attendees of the course AW141 Agentic AI Foundations have:

• Generative AI Essentials or equivalent work experience
• Basic AWS™ knowledge and software development experience