Google and Kaggle Launch AI Agents Vibe Coding Course

Google has announced the return of its popular 5-Day AI Agents Intensive Course, this time in partnership with Kaggle and with a fresh focus on Vibe Coding. Registration is now open for the June 2026 session, offering developers a structured, hands-on opportunity to learn how to build and deploy AI agents. Vibe Coding represents a new approach to AI development that emphasizes intuitive, flow-based programming rather than traditional line-by-line coding. The course is designed to teach participants how to create AI agents that can perform complex tasks autonomously, from data analysis to customer interaction. By the end of the five-day intensive, students will have practical experience in building functional AI agents that can be deployed in real-world scenarios. What makes this course particularly valuable is its partnership with Kaggle, the world's largest data science community. Kaggle brings a wealth of resources, including datasets, notebooks, and a community of experienced practitioners. Participants will have access to Kaggle's platform to practice their skills and collaborate with peers from around the world. The course is structured to accommodate developers at various skill levels, though some familiarity with Python and basic machine learning concepts is recommended. Each day focuses on a different aspect of AI agent development, from understanding the underlying architecture to fine-tuning performance and deploying agents in production environments. Google's decision to offer this course for free reflects its commitment to democratizing AI education. As AI agents become increasingly important in business and technology, the demand for developers who can build and manage them is growing rapidly. This course aims to fill that skills gap by providing practical, hands-on training that goes beyond theoretical knowledge. For developers looking to stay ahead of the curve, the 5-Day AI Agents Intensive Course offers a fast-track to mastering one of the most exciting areas of modern AI development.