AWS Agentic AI Foundations: Learn how to design and build autonomous AI agents in 2026.
Agentic AI represents the next evolution of AI: systems that can plan, act, reason and execute tasks independently.
This one-day training introduces the core principles and practical techniques for designing agentic AI solutions using AWS technologies such as Amazon Q, Kiro and Amazon Bedrock AgentCore, helping you apply these emerging capabilities in real scenarios.
- Why get trained: Gain a foundational understanding of what makes AI “agentic”.
- Why it matters: Skills in this area help you support innovation, solve complex tasks, and contribute to AI-driven automation initiatives using AWS services.
- Who should attend: Software developers, technical professionals, AWS users and development teams exploring agentic AI
Enroll now in AWS Agentic AI Foundations and start applying autonomous agent principles using AWS services to real-world use cases with Trainocate – Global AWS Training Partner of the Year 2022-2025.

Overview
This one-day Agentic AI Foundations course guides you through building autonomous, goal-driven AI agents using AWS technologies.
What will you get out of this course:
- Understand how Agentic AI differs from traditional conversational systems
- Explore tools such as Amazon Q, Kiro, and Amazon Bedrock Agents/AgentCore
- Learn design patterns, architectural strategies, and observability practices for agent systems
By the end of the course, you will be able to:
- Distinguish between workflow, autonomous, and hybrid agents
- Select suitable AWS services for agent development
- Develop basic implementation patterns and interoperability strategies
- Explain how to monitor, optimize, and scale agentic systems
Skills Covered
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
- 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
Target Audience
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

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
Dates & Locations
July 15, 2026 - July 15, 2026
July 15, 2026 - July 15, 2026
August 5, 2026 - August 5, 2026
August 5, 2026 - August 5, 2026
September 9, 2026 - September 9, 2026
September 9, 2026 - September 9, 2026
October 7, 2026 - October 7, 2026
October 7, 2026 - October 7, 2026
November 18, 2026 - November 18, 2026
November 18, 2026 - November 18, 2026
December 9, 2026 - December 9, 2026
December 9, 2026 - December 9, 2026

Exam & Certification
There is no exam directly associated with this course. However, AWS offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving AWS credentials is one of the most effective ways to validate your skills and accelerate your career.
With our expert-led training, you’ll be prepared to:
- Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
- Prove your expertise with a globally respected credential recognized by employers worldwide.
- Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.
Explore our top AWS Certifications for 2026 and start building the skills that matter today.
Training & Certification Guide
Frequently Asked Questions
Speak to a Training Consultant
All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631























