Introduction
The 5-Day AI Agents Intensive Course by Google and Kaggle (November 10–14, 2025) was one of the most transformative learning experiences of my journey in technology. As a first-year computer science student, I had basic knowledge of AI, but I had never understood how real AI agents work, how they use tools, or how they can be deployed from prototype to production.
This course opened a completely new world for me.
Why I Joined the AI Agents Intensive
My goal has always been to build intelligent systems that can actually help people. When I saw that Google and Kaggle were offering a structured, hands-on intensive course on agents, I knew I had to participate. I wanted clarity, direction, and guidance — and this program provided exactly that.
*What I Learned — Key Takeaways
*
- Understanding Agents
Before the intensive, I thought an “agent” was just a chatbot.
But I learned that agents are goal-driven systems that:
reason
use tools
access memory
plan actions
adapt to user context
This changed my entire view of AI.
. Agent Tools & MCP (Model Context Protocol)
This was one of the most exciting parts.
I learned:
how agents connect with different tools
how MCP helps standardize tool usage
how agents call external functions
how tools make the agent more powerful
Understanding MCP made me feel confident about integrating agents into real applications
Context & Memory
I understood how agents maintain context, store memory, and use past information to give better responses. Memory improves personalization and the overall quality of the agent.
Agent Quality
I learned how to check the performance of an agent—reasoning, accuracy, tool use, and user experience. Good evaluation helps create reliable and safe agents.Prototype to Production
This taught me how to convert an idea into a working, deployable agent. I learned the full pipeline: building, adding tools, improving quality, and taking the agent to production.
Conclusion
This course improved my understanding of modern AI systems. I feel more confident about building agents, using MCP, adding memory, and evaluating quality. It was an important milestone in my AI learning journ
Top comments (1)
Happy journey of my life