Be taught Vibe Coding On Kaggle

Google’s Intensive Vibe Coding Course is now obtainable on Kaggle as a self-paced Be taught Information. Initially held as a dwell program from June 15 – 19, 2026, all of the supplies can now be accessed, totally free, by anybody serious about exploring the foundations, structure, and sensible growth of AI brokers.

All that’s required is Kaggle account and an AI Studio account. Each are free, however you may must check in with an e-mail handle and supply a cellphone quantity.

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Developed by Google researchers and engineers and now hosted on Kaggle as a Learn Guide, the 5-Day AI Agents: Intensive Vibe Coding Course With Google is a deep dive into constructing highly effective AI brokers from foundational ideas to production-ready methods. You’ll discover vibe coding workflows, the place pure language turns into the first programming interface, and learn to create “10x brokers” by integrating instruments, APIs, and multi-agent methods. Alongside the best way, you’ll construct expert brokers with reminiscence and context, consider high quality and safety, and take your tasks from prototype to scalable, observable deployments.

This 5-day course is an prolonged model of the 5-Day AI Brokers Intensive Course with Google, held dwell in November 2025 and subsequently made obtainable as a self-paced Be taught Information. The brand new options are:

Vibe Coding Workflows: We’re exploring how pure language acts as the brand new coding language to construct autonomous brokers.

Up to date Content material & New Audio system: Get pleasure from recent views from new specialists guiding you thru constructing “10x brokers”, “expert brokers”, and “high quality brokers”.

From Vibe to Stay: A model new emphasis on graduating your native brokers right into a ruled, scalable, and observable enterprise fleet, culminating in an all-new Kaggle capstone mission.

For the dwell course, the fabric was launched over 5 consecutive days with a 45-60 minute podcast every day to accompany a white paper to learn and hands-on assignments to finish, requiring 1-2 hours of effort.

To make use of the Be taught Information, which is self-paced, you first want to enroll in a Kaggle account. You additionally want to enroll in an AI Studio account and guarantee you possibly can generate an API key. To take part within the assignments it’s worthwhile to obtain and set up Antigravity 2.0, the most recent model of Google’s agentic growth platform collectively witrh its IDE and CLI.

Right here is the day-by-day schedule:

Day 1: Introduction to Brokers & Vibe Coding
Degree up from AI chatbots and textual content completion to autonomous brokers. Grasp vibe coding workflows the place pure language is the first programming interface.

The primary whitepaper talks concerning the transition from handbook syntax coding to intent-driven “vibe coding” and disciplined “agentic engineering.” It explores how AI brokers compress the standard software program growth life cycle (SDLC) and explains the “manufacturing facility mannequin” the place builders act as system orchestrators who design the analysis, constraint, and context harnesses that safely information autonomous execution.

Within the first codelabs, you may familiarize your self with Antigravity 2.0, the Antigravity IDE, and the Antigravity CLI to vibecode your first functions. You will additionally use Google AI Studio to deploy your app to Cloud Run, enabling you to share your vibe coded app with your pals.

Day 2: Agent Instruments & Interoperability
Discover limitless capabilities by integrating exterior APIs, code execution, and agent to agent communication. The whitepaper talks about standardizing the plug-and-play AI ecosystem utilizing open protocols to get rid of the advanced technical debt of customized software integrations and particulars how the Mannequin Context Protocol (MCP) connects fashions to knowledge sources. Within the codelabs, you may learn to add MCP servers to Antigravity after which prolong your familiarity with Antigravity through the use of it through the terminal with Antigravity CLI.

Day 3: Agent Abilities
Construct customized brokers with long-term reminiscence and state. Grasp methods for lengthy context and optimum token use and constructing expertise with brokers to combine into agentic frameworks. The whitepaper talks about managing dynamic context and avoiding “context rot” by equipping brokers with moveable “Agent Abilities”, directories structured round a central SKILL.md file. Within the codelabs, familiarize your self with expertise in Antigravity. Then set up and use Brokers CLI expertise to create brokers, lint your code, and check your agent, all through the use of pure language prompts.

Day 4: Vibe Coding Agent Safety and Analysis Develop dependable brokers by implementing rigorous testing, guardrails, and high quality evaluations. Safe brokers towards new risk vectors. The whitepaper talks about redefining safety and analysis in non-deterministic AI workflows by establishing steady “Efficient Belief” by a strict 7-pillar structure. It outlines sensible safeguards resembling ephemeral sandboxing, defenses towards hallucinated “slopsquatting” packages, an lively Crimson/Blue/Inexperienced safety triad, and OpenTelemetry trajectory analysis. Within the codelabs, you’ll create an agent with human-in-the-loop in order that people can manually intervene, utilizing ADK, Brokers CLI and Antigravity. Additionally, you will study tips on how to develop a safe, test-driven growth with Antigravity.

Day 5: Spec-Pushed Manufacturing Grade Improvement within the Age of Vibe Coding
Graduate your native brokers right into a ruled, scalable, and observable production-ready fleet. Grasp cloud deployment, debugging, and observability. The whitepaper covers bridging the hole between fragile vibe-coded prototypes and production-grade enterprise software program utilizing Spec-Pushed Improvement (SDD). It particulars tips on how to deal with code as disposable and behavior-driven Gherkin specs because the supply of fact, establishing secure, zero-trust growth pipelines with automated code-review brokers and hybrid Coverage Servers. Within the codelabs, that are possibility as a result of they could require a billing account on Google Cloud, you’ll learn to create and deploy an agent to Google Cloud for enterprise scale. Then you’ll use Antigravity to vibe code a frontend shopper interface deployed to Cloud Run and tie it to an asynchronous event-triggering structure that robotically feeds dwell expense submissions straight to your cloud-hosted agent.

The Remaining Task, once more optionally available, are to deploy and host your AI brokers on Google Cloud and construct a front-end internet app and hyperlink it to your cloud-hosted AI agent.

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