Use the code ‘FIREBRAND15’ at checkout for 15% off this month only!

Firerband Logo

AWS Agentic AI Foundations

Understand how to build AWS AI agents in just 1 day with Firebrand.

What you’ll learn

On this one-day 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.

The aim of this course is to understand the landscape, patterns, and tooling instead of building full production systems.

You will learn how modern AI systems have moved beyond simple chatbots into goal-driven agentic systems, as well as:

  • The core ideas behind agentic AI and explanations of how agents differ from standard generative AI tools

  • How agents can reason, make decisions, and interact with external tools or data to complete tasks

  • The way AWS approaches agent development through three main paths: ready-to-use tools, managed services for building agents, and fully custom solutions for more advanced development

  • What AI agents are, how they work, and where AWS services such as Amazon Q and Amazon Bedrock fit into the wider agent ecosystem

Curriculum

You’ll train across 7 modules:

Module 1: From LLMs to Agents

Module 2: Exploring Agentic AI

Module 3: Understanding Agentic AI Workflows

Module 4: Introducing Autonomous Agents

Lab: Accelerating Software Development using Amazon Q Developer

Prerequisites

You should already be comfortable with the basic ideas behind generative AI and have some familiarity with AWS and software development.

This course assumes you understand concepts such as large language models, prompting, and how cloud services are typically used in applications.

Without that background, much of the discussion around agent architectures, tools, and orchestration will be too abstract.

You are therefore expected to have completed Generative AI Essentials or have equivalent hands-on experience working with generative AI systems.

You should also have foundational AWS knowledge and basic development experience, as the course references common AWS services and development workflows throughout.

Exam info

This course does not have an exam. 

No items to show.

Upcoming Courses

Filter courses by learning type:

Sorry, there are currently no dates available for this course. Please submit an enquiry and one of our team will contact you about potential future dates or alternative options.

FAQs

Yes, we do provide courses suitable for beginners. However, Firebrand's accelerated courses aren't easy and it's essential that you are interested and actively pursuing a career in IT.

Traditional training providers usually run their courses from 9am to 5pm. At Firebrand Training we maximise the number of learning hours to minimise the number of training days, so you’ll be back to your job as quickly as possible.

Firebrand's accelerated courses are constantly reviewed. We ask our delegates for feedback after every course. We are official partners with leading vendors and therefore, we're provided with certification changes and updates, which we can then implement in our course delivery at a very early stage. This feedback is then analysed in view of changes or discrepancies. We will then address the topics mentioned and have a panel of subject matter experts provide us with valuable suggestions for improvement and solutions.

If you need to learn new skills and you want to be able to put them into practice quickly, then Firebrand is the right training company for you.

Our unique accelerated training method means that we are your fastest way to learn.

Can't find the answer you're looking for?

Our expert learning advisors are ready to help. Whether you need course recommendations, have technical queries, or want to discuss your learning goals, we're just a message away.

Train your team

Since 2001 we’ve trained 134,561 employees from thousands of large and small organisations, saving them more than one million hours in training time.