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AWS Agentic AI Foundations
Course 1969
1 DAY COURSE

Price:
Course Outline

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 Benefits

  • 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

Learning Objectives

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
Course Dates

For course questions or any customer service inquiry, please contact your Customer Service team at BAHCustomerService@LearningTree.com.

We are excited that Learning Tree now offers a deferred direct bill payment option for Booz Allen employees. The deferred direct bill payment option enables employees to enroll in learning opportunities with no upfront costs. This payment option will require the employee to sign a Family Educational Rights and Privacy Act (FERPA) agreement with Learning Tree to release grades/completion to Booz Allen to satisfy the FlexEd Program completion requirement. Note, Learning Tree may also be used for the FlexEd Program reimbursement payment option.

Attendance Method
Additional Details (optional)

Private Team Training

Interested in this course for your team? Please complete and submit the form below and we will contact you to discuss your needs and budget.