AWS AI Agentic Foundations

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AWS AI Agentic Foundations

AWS AI Agentic Foundations

Course ID: AWSAAF

Duration: 1 Day

Training Fee: HK$6000

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.

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

Module 2: Exploring Agentic AI

Module 3: Understanding Agentic AI Workflow

Module 4: Introducing Autonomous Agents

Module 5: Amazon Q and Agentic Development Tools

Module 6: Agentic AI with Amazon Bedrock

Module 7: Building DIY Solutions

Module 8: Course Wrap-Up

AWS AI Agentic Foundations