EducationMonday, April 27, 2026· 2 min read

Google & Kaggle Relaunch 5-Day Vibe Coding AI Agents Course — Registration Open

TL;DR

Google and Kaggle have brought back the 5-Day AI Agents Intensive 'Vibe Coding' course, offering a hands-on pathway to learn building AI agents. The relaunch makes practical agent training accessible to developers and data practitioners via Kaggle's platform.

Key Takeaways

  • 1The 5-Day AI Agents Intensive (Vibe Coding) course returns through a Google and Kaggle collaboration.
  • 2Hands-on curriculum focuses on building and deploying AI agents using practical Kaggle workflows.
  • 3Open registration means more developers and data scientists can access applied agent training.
  • 4The course helps bridge the gap between research concepts and real-world agent development.

Google and Kaggle Relaunch the Vibe Coding AI Agents Intensive

Google has brought back its popular 5-Day AI Agents Intensive, teaming up with Kaggle to offer a focused, hands-on learning experience for developers and data practitioners. The relaunch — now open for registration — is designed to give participants practical skills for building, testing, and iterating on AI agents in real-world settings.

What the Course Offers

The Vibe Coding course centers on applied learning. Participants will work through guided notebooks and projects on Kaggle, gaining direct experience with agent architectures, tool integration, and evaluation strategies. By emphasizing active development rather than just theory, the course helps learners build usable agent prototypes quickly.

Who Benefits and Why It Matters

Developers, ML engineers, and data scientists stand to gain immediate, practical skills they can apply to product development and experimentation. The partnership with Kaggle means the content is delivered on a familiar platform that supports collaboration, reproducibility, and easy sharing of code and datasets.

Get Involved

If you want to level up your agent-building capabilities, registration is open now. The relaunch underscores Google's ongoing push to make advanced AI tooling and hands-on learning broadly accessible, helping more people turn agent ideas into working systems.

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