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Google и Kaggle открыли бесплатный 5-дневный курс по AI-агентам (Agentic AI)

Google и Kaggle открыли бесплатный доступ к 5-дневному интенсиву по AI-агентам (agentic AI): пройти его теперь может любой без оплаты и отбора. Материалы лежат на Kaggle, нужен только бесплатный аккаунт. Курс — про то, как модель сама планирует шаги, вызывает инструменты и доводит задачу до результата.

AI-processed from KDnuggets; edited by Hamidun News
Google и Kaggle открыли бесплатный 5-дневный курс по AI-агентам (Agentic AI)
Source: KDnuggets. Collage: Hamidun News.
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Google and Kaggle have opened free access to their 5-day intensive course on AI agents (agentic AI): now anyone can take it, with no payment and no prior selection required. This is reported by KDnuggets.

What the course includes

The course runs for five days and is devoted to agentic AI — systems that don't just respond to a request, but plan the steps themselves, call external tools, and carry the task through to a result. The materials are hosted on the Kaggle platform, so all you need to get started is a free account.

Key facts from the announcement:

  • Organizers — Google and Kaggle
  • Duration — 5 days
  • Cost — free for everyone
  • Topic — agentic AI (AI agents)
  • Platform — Kaggle

The format of these joint Google and Kaggle intensives is typically built around practice: breakdowns of concepts, codelabs with ready-made notebooks, hands-on coding right in the browser, and a final project. The materials can be completed at your own pace, without being tied to a schedule of live streams.

How agentic AI differs from a chatbot

Agentic AI is an approach in which the model works as an independent agent rather than a "smart autocomplete." A regular chatbot gives one answer to one request; an agent breaks a large task down into steps, turns to tools (search, code, API), checks the intermediate result, and adjusts the plan. It is precisely these mechanics — planning, memory, tool calling, quality evaluation — that the 5-day course focuses on.

The topic was not chosen at random: AI agents became one of the industry's main directions in 2025–2026, and demand for developers who know how to build them is outpacing supply. A free course from two prominent players — Google and Kaggle — lowers the barrier to entry for those who want to get to grips with the subject in practice.

"Google and

Kaggle's 5-day course on AI agents is now available to everyone for free," — as KDnuggets put it.

Who the course is for

The course is aimed at developers and data specialists who already have basic Python skills and a general understanding of how language models work. According to KDnuggets, the materials are open to everyone without exception — no separate registration for a cohort or selection process is required, a Kaggle account is enough.

For those just starting out on the path to machine learning, five days of intensive practice with agents may seem demanding, but the "concept → notebook → project" structure allows you to move forward gradually and return to difficult spots.

What this means

Major players continue to make AI agent education free and accessible at scale: instead of paid bootcamps — an open five-day intensive on Kaggle that can be completed at a comfortable pace. For the market, this is one more signal that agentic AI is moving from the realm of experiments into a baseline developer skill.

Frequently asked questions

How much does the Google and Kaggle AI agents course cost?

The course is free for everyone. According to KDnuggets, access is open to all — there's no need to pay for the materials, only a free Kaggle account is required.

How long does the course last and where does it take place?

The intensive runs for 5 days and is hosted on the Kaggle platform. The materials can be completed at your own pace, without being tied to a fixed schedule.

What is agentic AI in simple terms?

Agentic AI refers to AI systems that act as agents: they break a task down into steps themselves, call tools (search, code, API), check the result, and adjust the plan, rather than giving one answer to one request.

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