Project

Multi-agent Customer Support System with CrewAI

Challenging

23 completions

~ 3 hours

4.4

Learn to design and orchestrate a multi-agent system using CrewAI, where a manager agent intelligently delegates tasks to specialized agents based on issue types. By completing this project, you'll master hierarchical orchestration, agent specialization, and tool-based coordination — key skills for building scalable, collaborative AI systems.

Provided by

JetBrains Academy

About

In this project, you'll build a customer support system made up of multiple AI agents working together. A manager agent reviews each support ticket and assigns it to the right specialist — whether it's for technical issues, billing questions, or account management. Through this hands-on project, you'll see how AI agents can cooperate, share tasks, and solve problems as a team.

Graduate project

This project covers the core topics of the AI Agents: Theory and Practice course, making it sufficiently challenging to be a proud addition to your portfolio.

At least one graduate project is required to complete the course.

What you'll learn

Once you choose a project, we'll provide you with a study plan that includes all the necessary topics from your course to get it built. Here’s what awaits you:

Create specialized tools for agents to interact with external systems.

Add specialist agents for each support task.

Implement an orchestration layer for the specialists.

Add a special agent to handle high-priority multi-domain tickets.

Reviews

JHON FREDERICK MENA RODRIGUEZ

1 week ago

3.7

I like the way the project is worked on during each stage, although it is frustrating to pass the tests because you can not use some specific words in the agents since those words are in the tests.

Jennifer Hanna

4 months ago

4.7

I have learned how to handle delegation in multi-agent systems with crewai.

Dmitrii Elin

4 months ago

4.3

The project is well-instructed and easy to follow. It does not require deep Python knowledge, which makes it accessible even for beginners.

4.4

Learners who completed this project within the AI Agents: Theory and Practice course rated it as follows:

Usefulness

4.6

Fun

4.3

Clarity

4.3