Cloud Computing and Virtualisation

Agentic AI on AWS Foundations

  • Length 1 day
  • Price  $950 inc GST
Course overview
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Why study this course

In this one-day course, you will explore the core principles and strategies for designing Agentic AI systems using AWS services. You will 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.

This course includes presentations, hands-on lab, and group exercises.

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What you’ll learn

This course is designed to teach participants how 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


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AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.


Who is the course for?

This course 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


Course subjects

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

Please note: This is an emerging technology course. Course outline is subject to change as needed.


Prerequisites

We recommend that attendees of this course have:


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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