Agentic AI: Hands-on course

Learn by building. Create AI agents with open-source models and real-world developer tools.

For AI builders

Designed for software engineers, AI engineers and developers.

Self-paced format

A four-hour course with videos and hands-on Jupyter notebooks.

100% Free

Access all course materials at no cost and get free credits to practice.

Get a credential

Earn a digital badge upon completing the course.

Build your team of agents

You will build your own deep research agent from the ground up, empowering it to search the web, reason, and delegate tasks to a team of specialized subagents.

Then, you will give it memory, evaluate its performance, and deploy it. All without managing any AI infrastructure.

Nebius and NVIDIA have joined forces to bring you this course–combining Nebius’s managed inference platform with NVIDIA’s expertise in developing open-weight models.

Learn from practitioners

We bring together field experts from NVIDIA, Nebius, and Tavily.

NVIDIA Nemotron
Token Factory

Intro to managed inference

Alex Hanley, ML Solutions Architect at Nebius

Tavily

Agentic web search

Lakshya Agarwal, Forward Deployed Engineer at Tavily

Deep Agents

Orchestrating deep research

Denis Volkhonskiy, Lead AI Engineer at Nebius

Token Factory

Evaluating deep research

Stan Fedotov, Program Lead at Nebius Academy

NVIDIA Nemotron
OpenShell

Making persistent agents

Chris Alexiuk, Product Research Engineer at NVIDIA

Serverless AI

Agent deployment

Marouane Khoukh, Developer Advocate at Nebius

Watch & Code

Watch short video lessons and immediately apply what you learn in pre-built Jupyter notebooks.

Video lessons
Jupyter Notebooks

Make your learning rewarding

Get free credits

Join the Nebius Builder Program to get free credits for Token Factory, Tavily and more.

Earn a digital badge

Receive a Credly digital badge when you complete the course.

Get certified for just $1

Prepare for and take the Agentic AI Builder Certification exam to earn an official credential.

Curriculum

  1. Intro to Token Factory and AI agents Theory

  2. Choosing and Testing a Model

  3. Calling a Model from Python

  4. Building and Evaluating a Simple Tool Loop

  5. Measure Performance and Cost

Building Agentic AI

Apply now, take the course to build your skills, then register for the exam to validate your knowledge and earn a credential you can showcase.