Journey of kaggle intensive course and competition
Source: Dev.to
What Concepts Resonated Most With Me
During the 5‑day intensive, several concepts stood out and helped shape my understanding:
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Day 1 – Introduction to Agents
Built a strong foundation on how agents work, how they reason, and why they are becoming essential across industries. -
Day 2 – Agent Tools & Interoperability using MCP
Learned about the Model Context Protocol (MCP) and how agents can connect with external tools and systems smoothly. -
Day 3 – Context Engineering ( Sessions & Memory )
Explored how sessions and memory enable agents to adapt, personalize, and maintain context—similar to how humans remember conversations. -
Day 4 – Agent Quality
Covered quality evaluation, reliability, and improvement methods, clarifying what makes an agent “good” versus “unpredictable.” -
Day 5 – Prototype to Production
Saw how simple prototypes can evolve into fully functional systems in real applications.
The live broadcasts, Q&A sessions, and hands‑on notebooks made learning smooth and enjoyable. Interacting through the Kaggle Notebook environment helped me understand everything more clearly as I practiced.
How My Understanding of AI Agents Has Evolved
Before the course I only had a basic, theoretical idea of agents. After the intensive I now understand:
- How agents think and process tasks
- How they use tools and protocols
- How memory changes user experience
- How to evaluate and improve agent behavior
- How real‑world agent systems evolve from prototype to production
The intensive transformed my view from “AI agents are complicated” to a practical, actionable perspective.
Capstone Project Reflection
Although I was not able to complete a full capstone project, I explored the hands‑on assignments using Kaggle Notebooks. Working with real examples deepened my understanding, especially around tool use and context engineering. Even without the final project, the learning experience was extremely valuable for my career restart.