Google and Kaggle are back with a new no-cost training series: the 5-Day AI Agents Intensive. Following last year’s Generative AI Intensive that drew over 420,000 learners worldwide, this program takes things further. into the world of AI agents.
Dates: Monday, November 10 – Friday, November 14, 2025
What’s in the Google AI agents course?
Participants will learn the core components of building intelligent, autonomous systems:
- Day 1: Introduction to Agents & Agentic Architectures
- Day 2: Agent Tools & Interoperability with MCP
- Day 3: Context Engineering: Sessions & Memory Management
- Day 4: Agent Quality: Observability, Logging, Tracing, Evaluation
- Day 5: Prototype to Production with multi-agent systems
Each day blends deep dives, codelabs, podcasts, livestreams, and community discussion on Kaggle’s Discord. The course wraps with an optional capstone project, giving participants the chance to showcase an AI agent and earn Kaggle badges, swag, and global recognition.
Key information about the course
- Who it’s for: Developers, entrepreneurs, and AI enthusiasts. Python and basic AI knowledge recommended.
- Time commitment: ~1–2 hours/day for assignments, plus 45–60 minutes for daily livestreams.
- Cost: Free (Kaggle and Google AI Studio accounts required).
- Capstone project deadline: Sunday, November 30, 2025.
Register via Kaggle to secure your spot.
What is Kaggle?
Kaggle is a global platform where data scientists, researchers, and developers collaborate, compete, and learn.
Best known for its machine learning competitions, Kaggle also offers free datasets, cloud-based notebooks, educational courses, and an active community where members share code, ideas, and insights.
It’s become a go-to space for experimenting with models, building projects, and advancing skills in AI and data science.
What’s the Inc413 business angle here?
AI agents are moving from buzzword to business reality. This free Google AI Agents course offers Western Mass entrepreneurs, startups, and small businesses a chance to understand how agent systems work and how they can be applied, from customer service automation to intelligent workflows and multi-agent collaboration.
This is also an opportunity to get some deep foundational context and avoid the overwhelm of not knowing how to assess AI tools and capabilities.
Early movers in this space will be well-positioned for the next wave of AI adoption.
PICTURE: An AI-generated image of giant robots helping out on a job site. Created by Artist Dynamix with Google AI Studio for Inc413.
