My Journey Through the Kaggle Google AI Agents Intensive

The author shares their transformative experience in the Kaggle x Google AI Agents Intensive, where they gained expertise in building multi-agent systems and developed a capstone project to analyze student learning behavior.

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Why it matters

The author's journey showcases the transformative potential of the Kaggle x Google AI Agents Intensive, enabling them to develop cutting-edge multi-agent system expertise and build a meaningful, impactful capstone project.

Key Points

  • 1The author had only basic understanding of agents before the course, but the concept of agent architecture and the Orchestrator changed their perspective.
  • 2The two key skills gained were multi-agent workflow design and building LangGraph and orchestrated agent systems.
  • 3The author built an AI-powered student learning behavior analyzer as the capstone project, which can help educators understand and support students more effectively.
  • 4The author plans to deploy the capstone project using Vertex AI Agent Engine to create a real product for schools and educators.

Details

The author joined the Kaggle x Google AI Agents Intensive to grow professionally, work on cutting-edge technology, and gain recognition. The course transformed their understanding of agents, shifting from seeing them as isolated tools to collaborative specialists guided by a central Orchestrator. The author developed expertise in multi-agent workflow design and building LangGraph and orchestrated agent systems. For the capstone project, they built an AI-powered student learning behavior analyzer that cleans data, extracts insights, generates SQL, and predicts student outcomes. The goal was to help educators understand and support students more effectively. The author found that each agent has its own personality, requiring personalization within the system. The author plans to deploy the capstone project using Vertex AI Agent Engine to create a real product for schools and educators, as the project addresses a real-world problem.

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