Introduction
If there’s one thing I’ve learned in this fast-paced AI world, it’s that you can’t afford to stop learning. And when Google and Kaggle announce something as big as the AI Agents Intensive Course, you know it’s worth diving in.
Since last November, over 420,000 learners around the globe have already joined Google’s previous Generative AI Intensive. This year, things are getting even more exciting — the 5-Day AI Agents Intensive Course with Google takes it to the next level.
It’s completely free, beginner-friendly, and, honestly, one of the most hands-on AI programs I’ve seen.
What is the AI Agents Intensive Course with Google?
The AI Agents Intensive Course is a five-day online learning journey designed by Google’s top Machine Learning (ML) researchers and engineers.
In this course, you’ll explore how AI agents work — from understanding their architecture to learning how they can perform tasks autonomously. It’s not just theory; you’ll actually build and deploy intelligent systems using Google’s latest tools and frameworks like the Gemini API.
I found the curriculum surprisingly practical. Each concept connects directly to how real-world AI agents operate — covering everything from memory and context to evaluation and production deployment.
Daily Structure and Learning Format
Each day in the intensive has its rhythm — and Google’s structured it beautifully.
Daily Assignments
Every morning, you’ll receive your learning materials: whitepapers, podcasts generated by NotebookLM, and companion codelabs. These help you grasp both the theory and coding aspects at your own pace.
Discord Discussion Threads
You’ll join Google’s dedicated Kaggle Discord channel — a lively space to share ideas, ask questions, and chat with other learners. It honestly feels like an AI developer community buzzing 24/7.
Live Seminars & AMAs
Each day features a live YouTube session where Google engineers break down complex ideas, answer questions, and sometimes even drop hints about real-world applications.
Capstone Project
And yes, there’s a real-world project. On the final day, you’ll start building your own AI agent using the Agent Development Kit (ADK) — integrating multiple features from what you’ve learned throughout the week.
Topics Covered During the 5 Days
Let’s look at what each day brings (and why I’m genuinely hyped about it .
Day 1: Introduction to Agents
We start with the basics — what exactly defines an AI agent? How is it different from an LLM chatbot? You’ll learn the fundamentals of agentic architecture and how these systems act, react, and adapt autonomously.
Day 2: Tools & Interoperability with MCP
This day’s all about making agents do things. You’ll learn how they use tools and APIs, especially through the Model Context Protocol (MCP). It’s like giving your AI hands and a brain.
Day 3: Context Engineering – Sessions & Memory
Ever wondered how AI “remembers” past interactions? This session covers both short-term and long-term memory, helping your agents handle multi-turn tasks without losing context.
Day 4: Agent Quality
Here, you’ll focus on making your agents reliable. You’ll explore evaluation metrics, logging, tracing, and best practices for optimizing performance.
Day 5: Prototype to Production
Finally, the grand finale — deployment. You’ll learn how to launch your AI agents into production, ensuring they scale efficiently using the Agent2Agent (A2A) Protocol.
Who Should Join the Course?
This program isn’t limited to AI veterans. It’s crafted for anyone curious about building intelligent systems — whether you’re a student, data scientist, or developer.
While there are no strict prerequisites, having a bit of experience helps. Here’s what Google recommends:
- Python skills (for codelabs)
- Basic AI and LLM knowledge
- Familiarity with Google AI Studio and Kaggle Notebooks
Don’t worry if you’re new — the lessons are designed to bring everyone up to speed fast.
Time Commitment and Requirements
The schedule is flexible — you’ll spend around 1–2 hours daily on assignments, plus 45–60 minutes for the live stream.
All materials (assignments, recordings, etc.) will be shared through email and Kaggle’s Discord each day.
Oh, and one small but crucial thing: you’ll need a verified Kaggle account with a phone number. Verification is mandatory for participation.
Capstone Project and Certification
The capstone project launches on November 14, 2025, and submissions close by November 30, 2025.
Here’s what’s cool — everyone who completes the project gets a Kaggle badge on their profile. Plus, the top 12 teams will win exclusive Kaggle swag and even get featured on Google’s social media.
You’ll be asked to create a working AI agent demonstrating three learned features and submit a Kaggle write-up with a video and code. It’s optional but super rewarding if you’re serious about showcasing your skills.
Contributors Behind the Program
The course is a massive collaboration between Google’s ML engineers and research teams, including Alan Blount, Maria Cruz, Polong Lin, Kinjal Parekh, and many more.
These are the same brilliant minds behind projects like Gemini, Google AI Studio, and NotebookLM — ensuring you’re learning directly from those shaping the AI frontier.
Final Thoughts
Personally, I think this AI Agents Intensive Course with Google isn’t just another online bootcamp. It’s a golden opportunity to get hands-on with real AI agent technology — at zero cost.
If you’ve been meaning to level up your AI skills or transition into autonomous system design, this is your sign.
Learn more or sign up here: AI Agents Intensive on Kaggle
Explore Gemini API here: Gemini API Documentation
Discover Google AI resources: Google AI
FAQs
Yes, the entire course — including the capstone project — is free of cost. You just need a Kaggle account linked to Google AI Studio.
A basic understanding of Python helps, but beginners can still follow along thanks to clear tutorials and examples.
You’ll receive a Kaggle badge for completing the capstone project. The top performers will also receive special recognition and swag.
Roughly 1–2 hours a day for assignments, plus a 1-hour live stream. You can complete tasks at your own pace.
Most participants worldwide can join, except residents of Iran, Syria, Crimea, Cuba, and North Korea due to access restrictions.








