Agentic AI Foundations (AAIF)

 

Course 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.

Course Content

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
  • Demo: Amazon Bedrock Flows
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
  • Demo: Amazon Q
Module 6: Agentic AI with Amazon Bedrock
  • Amazon Bedrock Agents
  • Amazon Bedrock AgentCore
  • Demo: Amazon Bedrock Agents
  • 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

Who should attend

This course is intended for:

  • Software developers new to Agentic AI seeking foundational knowledge and practical implementation skills
  • 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 this course have:

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

Course Objectives

In this course, you will learn to:

  • Summarize the evolution of Agentic AI and define what makes something "agentic"
  • Identify core components of agentic systems: goals, memory, tools, and environment
  • Distinguish between workflow, autonomous, and hybrid agents
  • Compare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)
  • Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and Kiro
  • Explain Amazon AgentCore and Amazon Bedrock Agents core functionalities
  • Identify basic implementation patterns for Agentic AI
  • Describe observability and interoperability patterns for production agentic AI systems

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • US $ 695
Classroom Training

Duration
1 day

Price
  • United States: US $ 695

Click on town name or "Online Training" to book Schedule

This is an Instructor-Led Classroom course
Instructor-led Online Training:   This is an Instructor-Led Online (ILO) course. These sessions are conducted via WebEx in a VoIP environment and require an Internet Connection and headset with microphone connected to your computer or laptop. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.
This is a FLEX course, which is delivered simultaneously in two modalities. Choose to attend the Instructor-Led Online (ILO) virtual session or Instructor-Led Classroom (ILT) session.

United States

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Canada

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Online Training 09:00 Eastern Daylight Time (EDT) Enroll
Online Training 09:00 Pacific Daylight Time (PDT) Enroll
Online Training 09:00 Central Standard Time (CST) Enroll