Agentic AI Made Simple
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Agentic AI Made Simple
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What you'll learn
Develop and deploy intelligent AI agents to solve complex real-world problems.
Understand multi-agent system architectures and design strategies.
Learn to optimize decision-making processes using decision trees.
Gain hands-on experience with real-world AI tools like Bedrock Agents.
Skills you'll gain
Tools you'll learn
Details to know
April 2026
10 assignments
See how employees at top companies are mastering in-demand skills
There are 10 modules in this course
This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you'll gain a solid foundation in Agentic AI, starting with its basic principles and advancing to real-world applications. You will learn to build and deploy AI agents, understand the inner workings of these agents, and dive into multi-agent systems. The course is designed to equip you with the practical skills needed to create and manage intelligent agents that solve complex problems. As you progress, you will explore various agent architectures and gain hands-on experience with real-world AI tools, such as Bedrock Agents. This course provides a perfect blend of theory and practice, with guided exercises that help reinforce your learning. Through live demos and building your agents, you’ll see how these systems perform in real-world scenarios. This course is ideal for anyone interested in AI, machine learning, or building smart applications. No prior experience with Agentic AI is required, although basic programming knowledge will be beneficial. Whether you're a beginner or someone with a technical background, you’ll gain the skills necessary to develop and deploy AI agents in various industries. By the end of the course, you will be able to: create and deploy Agentic AI, analyze multi-agent systems, develop decision trees, and optimize agent performance in real-world scenarios.
In this module, we will introduce the structure of the course, explain its objectives, and set expectations for your learning journey. You'll get familiar with the mission and what you'll be learning in upcoming sections.
What's included
1 video1 reading
1 video•Total 1 minute
- Introduction•1 minute
1 reading•Total 10 minutes
- Full Course Resources•10 minutes
In this module, we will walk you through the course agenda, helping you understand the topics covered and how the mission will unfold. You'll have a complete overview of what to expect in each section of the course.
What's included
1 video1 assignment
1 video•Total 2 minutes
- Operation Plan (Agenda)•2 minutes
1 assignment•Total 15 minutes
- Operation Plan (Agenda) - Assessment•15 minutes
In this module, we will cover the basics of Agentic AI, focusing on its foundational principles and the importance of agents in solving complex problems. You'll learn when to activate agents and explore their role in optimizing outcomes.
What's included
4 videos1 assignment
4 videos•Total 27 minutes
- Mission Briefing: Why Agents Matter?•10 minutes
- Mapping the Terrain: Understanding Agentic AI - Part 1•6 minutes
- Mapping the Terrain: Understanding Agentic AI - Part 2•5 minutes
- Rules of Engagement: When to Activate an Agent•6 minutes
1 assignment•Total 15 minutes
- Bootcamp Basics - Assessment•15 minutes
In this module, we will look at real-world applications of Agentic AI, comparing it with RAG, and exploring how agents make decisions using decision trees. You'll also participate in a field test to see the theory in action.
What's included
4 videos1 assignment
4 videos•Total 38 minutes
- Field Manual: Real-World Agent Use Cases•10 minutes
- Choosing the Right Gear: Agentic AI vs RAG•11 minutes
- A Decision Tree•4 minutes
- Field Test•13 minutes
1 assignment•Total 15 minutes
- Real-World Ops - Assessment•15 minutes
In this module, we will take a deep dive into the anatomy of an agent, examining its internal structure, functions, and advanced features. This will help you understand how agents work at a technical level.
What's included
2 videos1 assignment
2 videos•Total 10 minutes
- Anatomy of an Agent - Part 1•7 minutes
- Anatomy of an Agent - Part 2•3 minutes
1 assignment•Total 15 minutes
- Classified: Agent Internals - Assessment•15 minutes
In this module, we will guide you through the process of building your own AI agent. You'll begin with foundational steps and progress to advanced development techniques to create an agent suited for real-world tasks.
What's included
2 videos1 assignment
2 videos•Total 9 minutes
- Building an Agent - Part 1•5 minutes
- Building an Agent - Part 2•4 minutes
1 assignment•Total 15 minutes
- Operation Agent Forge: Engineering Your AI Agents - Assessment •15 minutes
In this module, we will explore Bedrock Agents, their basic and advanced features, and their practical applications. You'll also work with agents through Jupyter Notebooks to deepen your understanding of their functionality.
What's included
6 videos1 assignment
6 videos•Total 75 minutes
- Bedrock Agent - Demo - Part 1•18 minutes
- Bedrock Agent - Demo - Part 2•14 minutes
- Bedrock Agent - Deep Dive•17 minutes
- Bedrock Agent - Some Examples•6 minutes
- Agents through Notebook - Part 1•5 minutes
- Agents through Notebook - Part 2•15 minutes
1 assignment•Total 15 minutes
- Command Center: Working with Bedrock Agents - Assessment•15 minutes
In this module, we will focus on multi-agent systems, exploring how multiple agents work together to solve problems. You'll build your first multi-agent system and learn performance improvement techniques through practical examples and case studies.
What's included
9 videos1 assignment
9 videos•Total 88 minutes
- Multi Agent Systems•15 minutes
- Multi Agent Architecture•12 minutes
- Multi Agent - Hello World•10 minutes
- Supervisor vs Supervisor with Routing•10 minutes
- Performance Improvement•4 minutes
- Demo - A Mortgage Agent•6 minutes
- Building a Travel Planning Agent - Part 1•3 minutes
- Building a Travel Planning Agent - Part 2•14 minutes
- Building a Travel Planning Agent - Part 3•14 minutes
1 assignment•Total 15 minutes
- Squad Tactics - Multi-agent Mission - Assessment•15 minutes
In this module, we will recap the key takeaways from the course and provide guidance on your next steps. You'll be equipped with the tools and knowledge to continue applying Agentic AI in practical settings.
What's included
1 video1 assignment
1 video•Total 7 minutes
- Final Word•7 minutes
1 assignment•Total 15 minutes
- Mission Debrief - Key Takeaways & Next Steps - Assessment•15 minutes
In this module, we will teach you how to estimate the cost of practicing the demos in AWS, focusing on cost-efficiency and best practices for managing cloud resources while keeping costs low.
What's included
1 video2 assignments
1 video•Total 1 minute
- My cost was less than a dollar•1 minute
2 assignments•Total 75 minutes
- Full Course Practice Assessment•15 minutes
- Full Course Assessment•60 minutes
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Frequently asked questions
Agentic AI refers to a type of artificial intelligence designed to operate autonomously, performing tasks and making decisions without human intervention. It is relevant because it enables the development of systems capable of solving complex problems across various industries such as healthcare, finance, and logistics by automating processes and enhancing decision-making.
This course explores the fundamentals of Agentic AI, guiding you through the process of understanding and building intelligent AI agents. It covers essential topics such as the internal structure of agents, real-world applications, multi-agent systems, and hands-on experiences with creating and deploying agents for specific use cases.
Upon completion of this course, you will be able to design, build, and deploy AI agents for various tasks. You will understand how multi-agent systems work, be capable of applying decision trees for problem-solving, and be ready to implement agents for real-world applications such as travel planning or mortgage calculations.
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