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Ab G
Ab G

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My Learning Journey Through the 5-Day AI Agents Intensive Course

The 5-Day AI Agents Intensive by Google and Kaggle was a transformative experience that reshaped my understanding of modern AI. Before this program, I only knew the basics of machine learning, but I had no clear idea of how real AI agents think, plan, use tools, or operate in dynamic environments. This course changed that completely.

A New Understanding of AI Agents

I learned that an AI agent is not just a chatbot or script, but a system that can perceive, reason, and act toward a goal. The difference became clear: a model predicts, but an agent decides and takes action. This shift helped me see how agentic systems power the next generation of AI.

Architectures, Tools & Context

Through the whitepapers and codelabs, I explored different agent architectures, the role of memory, and how tools can extend an agent’s abilities using MCP. I also learned how agents maintain context and work inside multi-agent systems—knowledge that helped me understand real AI workflows beyond theory.

Hands-On Learning

The practical labs were the highlight of the course. I built agents that could use tools, manage context, and work autonomously. These exercises gave me genuine confidence that I can design useful agents with the right structure.

Capstone & Reflection

In my capstone project, I combined everything—planning, evaluation, memory, and tool use—to build a small but functional agent. This experience taught me the importance of debugging, iteration, and responsible agent design.

A Clear Path Forward

This course has inspired me to continue exploring agentic AI, multi-agent systems, and autonomous workflows. It has strengthened my foundation and given me a clear direction for future projects.

Conclusion

The 5-Day AI Agents Intensive was not just a course—it was a breakthrough in my learning journey. It deepened my understanding, improved my skills, and showed me what is truly possible with agentic AI. I am grateful for this experience and excited to build more intelligent systems in the future.

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