Google and Kaggle have teamed up to offer a free five-day online course on AI agents in November 2025. This course is officially called the 5-Day AI Agents Intensive, and it’s the latest in Google’s series of “Gen AI Intensive” trainings. In simple terms, it’s like a short bootcamp where Google’s own AI experts teach you how to build intelligent AI systems called agents.
The program is scheduled for this November, and anyone can join at no cost. It’s a structured learning event designed for all skill levels — whether you’re just starting out or already familiar with AI. The course combines expert instruction, hands-on projects, and a supportive community to help you learn step by step.
If you’re curious about artificial intelligence but feel unsure because you don’t have a background in it, don’t worry! This guide explains everything in simple, clear language. By the end, you’ll know exactly what the new Google and Kaggle Gen AI course is all about, what it covers, how to join, and how to prepare for it, even if you’re starting from scratch.
What Is Google’s 5-Day Gen AI Intensive Course?
This course is officially hosted by Google and Kaggle, and will take place from November 10 to 14, 2025. It’s designed to teach anyone how to build what are called “AI agents.” These are not your regular chatbots or assistants.
An AI agent is like an AI that can take action, make decisions, and use tools on its own. You give it a task, and it figures out how to do it without you needing to guide every step.
In simple words, imagine telling an AI, “Plan a one-week trip for me under $500.” An AI agent would look up flights, check hotel prices, maybe even ask follow-up questions, and then give you options. It acts like a smart assistant that can think and work.
Google calls this an “intensive” because it’s packed into just five days. Each day focuses on a key part of how AI agents are built and used. But don’t let the word “intensive” scare you — it’s meant for all levels, including beginners.
This is a continuation of Google’s earlier training series. A previous version taught general AI concepts and was so popular that over 280,000 people joined. It even set a Guinness World Record for the largest virtual AI training in a week.
That past success led to this new course. It takes everything a step further by focusing only on agents — the most advanced and practical use of AI right now.
Course Content and Structure
The 5-Day AI Agents Intensive is designed to take you from the basics of AI agents to actually building and deploying them. Each day of the course covers a different part of the journey, with topics broken down into easy-to-understand lessons and practical exercises.
Here’s what you’ll learn day by day:
Day 1: Introduction to AI Agents & Agentic Architectures
This first day sets the foundation. You’ll learn:
- What AI agents are and how they work
- How they’re different from regular AI tools (like simple chatbots)
- What it means for an agent to be “intelligent” and “autonomous” (basically, able to make some decisions on its own)
You’ll also explore how the structure of an AI agent is different from older types of AI systems. This helps you understand why agents are the next step forward in the world of artificial intelligence.
Day 2: Teaching AI Agents to Use Tools (with MCP)
Now that you know what an agent is, Day 2 is all about helping it do something.
You’ll learn:
- How agents can use tools like calculators, web search, or APIs (which are ways software systems talk to each other)
- What it means for an AI to “take action” in the real world
One important concept introduced here is the Model Context Protocol (MCP).
What is MCP?
Think of it like this: just as your browser uses HTTP to talk to websites, AI agents use MCP to talk to external tools.
It’s a standard way for an AI model to find and use outside tools safely and effectively. This is what allows an agent to go beyond just chatting — it can actually take steps, fetch data, or perform actions.
So in this session, you’re learning how to give your agent real-world abilities by plugging it into tools.
Day 3: Context Engineering – Memory Management
On Day 3, the focus shifts to memory and context — in other words, how an AI agent keeps track of what’s going on.
You’ll explore:
- How agents remember past conversations or actions
- The difference between short-term memory (what was just said) and long-term memory (things the agent should remember over time)
This makes your AI agent smarter and more useful, especially when handling tasks that take multiple steps or span longer conversations.
💡 Example
If you ask your agent to help plan a trip, it should remember where you want to go, what dates you gave, and your travel preferences — even if you mention them at different times.
Day 4: How to Make Sure Your Agent Works Properly
By now you’ve started building your own agents. On Day 4, it’s time to make sure they work well.
This part teaches you how to:
- See what your agent is doing under the hood (called observability)
- Track its actions through logs
- Test and evaluate its performance
You’ll use metrics (simple measurements) to check if your agent is doing what it’s supposed to. If something goes wrong, you’ll learn how to find the problem and fix it.
Think of it like tuning a car engine — you’re learning how to look inside, measure how it’s running, and make adjustments to improve its performance.
Day 5: Prototype to Production – Including the A2A Protocol
On the final day, you’ll take everything you’ve learned and get ready to launch your AI agent into the real world.
Here’s what you’ll cover:
- How to move your agent from your laptop to a place where other people can actually use it
- Best practices to make it reliable and scalable
- How to build multi-agent systems — that is, multiple agents working together like a team
This is where you’ll be introduced to the Agent2Agent Protocol (A2A).
What is A2A Protocol?
Just like people use language to talk to each other, agents need a system to talk among themselves. A2A is a set of rules that allows one agent to communicate with another.
So, one agent might handle your calendar, and another might manage your email — and thanks to A2A, they can work together smoothly.
By the end of Day 5, you’ll know how to deploy an agent that others can use, and even how to build teams of agents that cooperate to complete more complex tasks.
In Summary:
| Day | Topics | What You’ll Learn |
|---|---|---|
| Day 1 | What is an AI Agent? | Understanding how agents work and why they’re different from traditional AI tools |
| Day 2 | Tools & MCP | How agents take actions using tools, powered by the Model Context Protocol |
| Day 3 | Memory Management | Giving agents the ability to remember and handle complex, multi-step tasks |
| Day 4 | Quality Checks | How to monitor, test, and improve your agent’s performance |
| Day 5 | Going Live with A2A | Deploying agents for real-world use and building multi-agent systems using the A2A Protocol |
Who Should Join This Course?
Anyone curious about AI can join this course. Whether you’re a student, developer, teacher, tech enthusiast, or just someone interested in how AI works, this course is made for you.
Even if you have zero knowledge about AI or coding, you can still learn a lot. Google has designed the content to be beginner-friendly. You’ll get step-by-step explanations and access to a big community of learners who are all on the same path.
However, you’ll benefit the most if you bring:
- A curious mind
- A little bit of comfort with computers
- A willingness to try coding (even if you’ve never done it before)
If you already know some Python or have tried basic AI projects before, this course will help take your skills to the next level – especially in the direction of building useful AI tools.
People who have taken previous Google or Kaggle AI courses will find this course a great next step. If you enjoyed earlier workshops about generative AI or participated in any AI-related competitions on Kaggle, this course builds on those ideas.
How to Register and Attend the Course
Signing up for Google’s 5-Day Gen AI Intensive course is simple, quick, and completely free. You don’t need any special background or payment—just curiosity and a Google account.
Start by visiting the official event page linked in Google’s announcement blog. Click the “Register” button, sign in with your Google account, and fill in a short form with your name, email, and interest in the course. Once submitted, you’ll get a confirmation message. Check your email afterward — you’ll receive all the key details there, including the schedule, resource links, and reminders before the course begins.
The course runs November 10 to 14, 2025. Every morning, Google will release new learning materials such as reading notes, guided coding labs, and podcasts. The live video sessions will stream on Kaggle’s YouTube channel each day, where Google’s AI engineers and instructors explain the topic, share demos, and answer questions in real time. If you miss any livestream, recordings will be available afterward.
To get the most out of the week, join the Kaggle Discord community. This is where participants interact, discuss daily topics, and get help from mentors and peers. You can learn by watching, coding along, or simply following the chats, whatever fits your comfort level.
The Prerequisites
There are no strict prerequisites. Google says the only thing you really need is curiosity and a willingness to code a little.
Still, if you want to prepare and feel more confident, here are a few things you can explore beforehand:
1. Get Familiar with Python
Python is the main language used in AI projects. You don’t need to be an expert. Just knowing how to write basic code, print statements, or run small functions can be helpful.
You can use free tutorials on Kaggle or YouTube to get started. Even 1–2 hours of learning basic Python can go a long way.
2. Understand What Large Language Models Are
Large language models (often called LLMs) are what power most AI tools today. They are trained on huge amounts of text, like books and websites, so they learn how to respond like a human.
You’ve probably used them already – for example, when chatting with tools like ChatGPT or Claude.
These models can generate text, answer questions, and even write code. In the course, you’ll learn how agents use these models as their “thinking brain.”
3. Learn What Makes an AI Agent Different
Regular AI tools can only do what you ask them at that moment. Agents are more like assistants – they can decide what to do, remember past tasks, use tools, and work in steps.
For example, if you tell an agent, “Book me a meeting with Raj next week,” it might check your calendar, suggest times, email Raj, and confirm the booking – all by itself.
Agents are built on top of language models, but they also include tools for memory, actions, and reasoning. The course will walk you through all of this slowly and clearly.
What You’ll Get Out of This Course
By the end of the 5 days, you’ll be able to:
- Explain what an AI agent is and how it works
- Build a simple AI agent using tools like Python and Google Colab
- Give your agent memory and the ability to use tools
- Understand how to test and improve your agent
- Launch your agent into the real world or build on it further
You’ll also get:
- A completion badge or certificate (Kaggle badges are often given out)
- A project you can show on your portfolio or resume
- A deeper understanding of how AI works – not just how to use it, but how to build it
Final Thoughts
So, if you have even a small interest in AI or Generative AI, this is the perfect time to start.
You’ll learn about the future of technology and how AI agents are shaping it.
This 5-day AI Agents Intensive course by Google and Kaggle gives you real, hands-on experience.
Don’t wait too long. Register before it closes and be part of one of the most exciting AI learning events of 2025.