1-Day Instructor-Led Training
Official AWS Course Content
After-Course Instructor-Coaching Included
#1969
AWS Agentic AI Foundations
Course 1969
- Duration: 1 day
- Language: English
- Level: Foundation
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.
AWS Agentic AI Foundations Course Delivery Methods
Online
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AWS Agentic AI Foundations Course
In this AWS course, you will:
- 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.
Prerequisites
We recommend that attendees of this course have:
- Generative AI Essentials or equivalent work experience
- Basic AWS knowledge and software development experience
AWS Agentic AI Foundations 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 Bedrock
- 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
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AWS Agentic AI Foundations Course FAQs
Agentic AI refers to artificial intelligence systems that can act as autonomous agents—meaning they don’t just generate outputs (like text or images) when prompted, but they can perceive, reason, make decisions, and take actions toward goals in dynamic environments.
Attendees will be introduced to Amazon Bedrock, Kiro and AmazonQ
Generative AI is like a talented creator — it produces high-quality content when asked. Agentic AI is like a skilled worker or digital teammate — it can use generative AI (and other tools) but adds decision-making, autonomy, and action-taking.