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This article focuses primarily on education initiatives surrounding AI agents and natural language programming ("vibe coding"), which are central developments in the machine learning landscape rather than incidental topics. The content details a specific collaboration between Google and Kaggle to scale training for production-grade AI systems, highlighting metrics like participant numbers and project submissions that reflect current trends in democratizing advanced model development.
Inside our 353,000-person vibe coding course

Kaggle’s AI Agents Intensive with Google brought learners together in a no-cost course to build and deploy the next frontier of AI.
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AI is moving faster than traditional methods of learning and teaching can keep up with it. With new concepts, skills, ideas, and tools arriving almost daily, we needed a new way to teach and learn these new technologies.
Since Google and Kaggle’s first “5 Day Intensive” course in 2024 more than 2 million learners and developers have participated in the multimodal, no cost courses. Our latest collaboration, the 5-Day AI Agents: Intensive Vibe Coding Course with Google, had over 353,000 registered participants. Together, we explored the frontier of vibe coding, where people program through natural language. Our courses navigated the entire lifecycle of designing, securing, and deploying production-grade AI agents in the cloud. The response proved that developers are ready to graduate their prototypes "from vibe to live”.
Hundreds of thousands of learners gathered across codelabs and technical whitepapers to collaborate in real time. The heart of this collaboration was on Kaggle's Discord, where over 392,000 active participants swapped code, debugged together, and formed study groups.
The capstone projects brought the week’s learning into action. We received over 6,000 project submissions from more than 12,000 active capstone participants.
The projects demonstrated the immense creativity, technical skill, and imagination of the global AI developer community. From advanced digital humanities tools like the historical manuscript transcription pipeline Palimpsest, to sophisticated space-weather research systems like Project ARIES, the caliber of submissions made it incredibly difficult to narrow down the top entries. You can explore all the winning teams and their capstone projects on our website.
We look forward to continuing our partnership and exploring future learning opportunities. If you’re interested in learning more, you can continue honing your skills through ongoing Kaggle competitions and stay connected with fellow learners on the Kaggle Discord. For those who missed the live event in June but still want to learn, all course content remains available as a self-paced Kaggle Learn guide.
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