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Google & Kaggle Launch Free AI Agents Vibe Coding Course

Google and Kaggle are offering a free 5-day AI Agents Intensive Course from June 15-19, 2026, focusing on natural language 'vibe coding' for building AI agents.

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Google and Kaggle are offering a free 5-day AI Agents Intensive Course from to . This online course teaches participants to build AI agents using “vibe coding,” a method that employs natural language for programming. It includes live sessions and a hands-on capstone project.

Attribute Detail
Released by Google AI and Kaggle
Release date
What it is A free 5-day intensive online course on building AI agents.
Who it is for Developers, solo founders, and builders interested in autonomous AI agents.
Where to get it Kaggle website
Price Free
  • Google and Kaggle are offering a free 5-day AI Agents course.
  • The course runs from to [2, 4].
  • It focuses on “vibe coding” using natural language [1, 3].
  • Participants will learn to build powerful AI agents [1].
  • The course includes live sessions and a capstone project [4].
  • The course teaches building AI agents with natural language “vibe coding” [1].
  • It is a free, 5-day intensive online program offered by Google and Kaggle [1, 3].
  • The course runs from to [2, 4].
  • Participants can earn a certificate and badges upon completion [7].
  • The curriculum includes live sessions and a hands-on capstone project [4].

What is the AI Agents Vibe Coding Course?

The AI Agents Vibe Coding Course is a free, 5-day intensive online program offered by Google and Kaggle [1, 3]. It teaches participants to build AI agents using natural language through a method called “vibe coding” [1]. The course aims to equip learners with skills to create autonomous AI agents that can perform various tasks [8].

What is new vs the previous version?

The new version of the AI Agents Intensive Course features a brand new focus on natural language “vibe coding” [3]. The previous iteration was originally launched in November [6]. This updated course emphasizes creating programs using natural language instructions [1].

How does Vibe Coding work?

Vibe coding allows users to create programs by using natural language instructions [1]. This approach simplifies the process of building AI agents [1]. It enables users to define agent behavior and tasks through conversational commands [1].

Who should care?

Builders

Builders interested in creating autonomous AI agents will find this course valuable [8]. It offers practical skills for developing agents that can execute tasks [8]. The course focuses on natural language programming, simplifying agent creation [1].

Enterprise

Enterprises can benefit from employees learning to build AI agents for automation [8]. These agents can read emails, trigger tools, and research leads [8]. The course provides a foundation for implementing AI solutions within organizations [1].

End users

End users can gain insights into how AI agents are developed and function [1]. Understanding “vibe coding” can demystify AI programming [1]. This knowledge can help in effectively utilizing AI-powered tools [1].

Investors

Investors should note the growing interest in AI agent development and natural language programming [1]. Courses like this indicate a trend towards more accessible AI creation tools [1]. This could impact the future of AI development platforms [1].

How to use the course today?

To use the course today, individuals can register for the free 5-day AI Agents Intensive Course on Kaggle [5]. The course runs from to [2]. Participants should prepare for live sessions and a hands-on capstone project [4].

Risks, limits, and myths

  • Risk: Over-reliance on natural language: While “vibe coding” simplifies programming, it may limit precise control in complex scenarios [1].
  • Limit: Course duration: A 5-day intensive course may not cover all advanced AI agent topics in depth [1, 2].
  • Myth: AI agents are fully autonomous: AI agents still require human oversight and definition of tasks [8].
  • Myth: No prior coding experience needed: While natural language is used, a basic understanding of logic is beneficial [1].

FAQ

  1. What is the Google and Kaggle AI Agents course?
    The Google and Kaggle AI Agents course is a free, 5-day intensive online program teaching how to build AI agents [1, 3].
  2. When is the AI Agents Vibe Coding Course scheduled?
    The AI Agents Vibe Coding Course is scheduled from to [2, 4].
  3. Is the AI Agents course free?
    Yes, the AI Agents Intensive Course offered by Google and Kaggle is free [1, 3].
  4. What is “vibe coding” in the context of AI agents?
    “Vibe coding” is a method that allows users to create AI agent programs using natural language [1].
  5. What will I learn in the AI Agents Vibe Coding Course?
    You will learn to build powerful AI agents and use natural language for programming [1].
  6. Are there any prerequisites for the course?
    Not yet disclosed.
  7. Will I receive a certificate upon completion of the course?
    Yes, participants can earn a certificate and badges upon completing the course [7].
  8. What kind of projects will be included in the course?
    The course includes a hands-on capstone project [4].
  9. How do I register for the AI Agents Vibe Coding Course?
    Registration for the course is open on the Kaggle website [5].
  10. Is this course suitable for beginners in AI?
    Not yet disclosed.

Glossary

AI Agent
An autonomous program capable of perceiving its environment and taking actions to achieve goals [8].
Vibe Coding
A programming paradigm that uses natural language to create or define software logic and behavior [1].
Kaggle
An online community for data scientists and machine learning practitioners, known for competitions and courses [1].
Natural Language Processing (NLP)
A field of AI that enables computers to understand, interpret, and generate human language [1].

Register for the free 5-day AI Agents Intensive Course on the Kaggle website to start learning “vibe coding” [5].

Author

  • Siegfried Kamgo

    Founder and editorial lead at FrontierWisdom. Engineer turned operator-analyst writing about AI systems, automation infrastructure, decentralised stacks, and the practical economics of frontier technology. Focus: turning fast-moving releases into durable, implementation-ready playbooks.

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