AWS AI Agentic Foundations

AWS AI Agentic Foundations

Course ID: AWSAAF
Duration: 1 Day
Training Fee: HK$2340
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Overview

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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Private in-house training

Apart from public, instructor-led classes, we also offer private in-house trainings for organizations based on their needs. Call us at +852 2116 3328 or email us at [email protected] for more details.

Why Choose Us?

  • The First Authorised Training Partner of AWS with full license
  • The Most Training Schedules delivered by AWS Authorized Instructors (AAI) and AAI Champion
  • Best Price Guaranteed
  • Trained over 50,000 talents in Asia
  • High Passing Rate: 90%
  • Appointed Exam Centre
What You'll Learn

In this course, you will learn to:

  • Summarize the evolution of Agentic AI and define what makes something “agentic”
  • Distinguish between workflow, autonomous, and hybrid agents
  • Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and Kiro
  • Identify basic implementation patterns for Agentic AI
  • Identify core components of agentic systems
  • Compare AWS service options for Agentic AI
  • Explain Amazon Bedrock AgentCore and Amazon Bedrock Agents fundamentals
  • Describe observability and interoperability patterns for production agentic AI systems
Intended Audience

Technical professionals, developers, and AWS users eager to master Agentic AI.

Prerequisites

We recommend that attendees of this course have:

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

Classroom / Virtual

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 Workflow

  • 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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