If you’re here, you’re ready to go beyond a single assistant and start building systems of agents — the kind that can coordinate, delegate, use tools, and solve problems that are too messy for a simple workflow.
This program is where things start to feel real.
Instead of thinking “How do I prompt the model?”, you’ll start thinking like a system designer:
And most importantly: you’ll build a working multi-agent system you can publish and be proud of.
It’s easy to treat a certification like a list of lessons to complete. That’s not how this program works — and it’s not how you earn certification.
This is a project-based certification program. You don’t get certified for reading lessons or watching videos. You earn certification by building and submitting a project that meets the requirements.
So your primary focus should be clear:
Build the best possible multi-agent system you can, given the project requirements.
Think of this the way real-world agentic AI projects are done in industry. The project defines the goal. The lessons, videos, and code examples exist to support that goal — they’re tools you pull in as needed, not boxes you check off.
In this program, your goal is to build a multi-agent AI system — one where multiple agents with distinct roles coordinate, use tools, and work together to solve a problem.
If you already have experience with agent frameworks or multi-agent design, you’ll be able to go deeper.
If this is your first time building a system like this, that’s completely fine — the program is designed to guide you there step by step.
As you work, keep these priorities in mind:
You don’t need to build the largest or most complex agent system. You need to build one that works, is well-structured, and reflects sound design choices.
That mindset — treating the project as the core and everything else as support — is what will help you succeed in this program.
You don’t need to “prepare” before you begin. The best way to start is to start.
Here’s a simple path that works well for most learners:
First, read the project description so you understand what you’re ultimately building.
Then, decide whether you’ll work solo or with a team — both are fully supported.
Next, skim the curriculum to see what lessons and resources are available, not to memorize them, but to know where to look when you need help.
Finally, begin building early and iterate as you learn.
You’ll learn faster by touching the system than by watching everything upfront.
You're not doing this alone. Hundreds of learners are working through this program right now — asking questions, sharing progress, and helping each other debug issues.
Our Discord server is where the community lives. It's the fastest way to get unstuck, find teammates, or see how others are approaching the same challenges you're facing.
Whether you need technical help, want to bounce ideas around, or just want to stay connected with what others are building — Discord is the place.
When you’re ready, head to the Program Curriculum for Mastering AI Agents.
That page lists the lessons and resources that support the multi-agent system you’ll build in this program.
Start there — then start designing your agents.
Let’s build something that actually works.
