Across the 5-Day Google x Kaggle AI Agents Intensive Course, each day built on the last and gave me a deeper understanding of agentic AI. Day 1 introduced the fundamentals of AI agents, where I learned how they follow a perceive–reason–act loop and how they differ from simple LLM responses. Day 2 focused on tool use and function-calling, helping me understand how agents interact with external services and perform real actions. Day 3 explored memory systems and RAG, showing how agents maintain context and retrieve relevant information to behave more intelligently. Day 4 highlighted observability and evaluation, teaching me how to trace an agent’s decisions, measure its performance, and ensure reliability. Finally, Day 5 covered multi-agent systems, deployment, and production consideratio...
Across the 5-Day Google x Kaggle AI Agents Intensive Course, each day built on the last and gave me a deeper understanding of agentic AI. Day 1 introduced the fundamentals of AI agents, where I learned how they follow a perceive–reason–act loop and how they differ from simple LLM responses. Day 2 focused on tool use and function-calling, helping me understand how agents interact with external services and perform real actions. Day 3 explored memory systems and RAG, showing how agents maintain context and retrieve relevant information to behave more intelligently. Day 4 highlighted observability and evaluation, teaching me how to trace an agent’s decisions, measure its performance, and ensure reliability. Finally, Day 5 covered multi-agent systems, deployment, and production considerations, helping me see how agents scale, collaborate, and operate in real-world environments. Together, these five days transformed my understanding of AI agents and gave me practical skills to start building them confidently.