Google AI Agents Course: Full Breakdown + Resources (Kaggle 5 Days)

The Complete AI Agents Guide (Google × Kaggle 5 Day Program) AI is evolving and AI Agents are the future.

Unlike traditional chatbots, AI agents can: Think Plan Take actions Use tools Remember past interactions Google and Kaggle released a powerful 5 day learning program covering everything from basics to production.

Here’s the complete breakdown with all resources 👇 Day 1: Introduction to AI Agents This is where your journey begins.

You’ll understand: Chatbot vs AI Agent Reasoning loops (Think → Act → Observe) Decision making systems 💡 Key Insight: Agents don’t just respond they solve problems step by step. 📚 Resources: Whitepaper → Enroll now Code Resource 1 → Enroll now Code Resource 2 → Enroll now Day 2: Tools & MCP (Model Context Protocol) This is where agents become powerful.

You’ll learn: API integration Tool usage Function calling MCP (Important Concept) MCP allows: Standard communication between tools Seamless integration across systems 💡 Key Insight: Tools turn AI from “smart” → useful in real world 📚 Resources: Whitepaper → Enroll now Code Resource 1 → Enroll now Code Resource 2 → Enroll now Day 3: Context Engineering & Memory This is what makes agents intelligent over time.

You’ll learn: Context management Session memory Long-term memory Key Insight: Memory allows agents to learn and personalize ⚠️ Note: Only 2 resources are available for this day. 📚 Resources: Whitepaper → Enroll now Code Resource → Enroll now Day 4: Evaluation & Observability This is where you make your agent reliable.

You’ll learn: Logging & tracing Debugging agent decisions Performance tracking Evaluation Methods: AI as a judge Human feedback Rule based testing Key Insight: You can’t improve what you don’t measure. 📚 Resources: Whitepaper → Enroll now Code Resource 1 → Enroll now Code Resource 2 → Enroll now Day 5: Production Deployment Now you go from project → real product.

You’ll learn: Deployment Scaling Monitoring Multi agent systems Agent to Agent Communication Agents can: Collaborate Share tasks Work together like a team Key Insight: Real world AI = multiple agents working together 📚 Resources: Whitepaper → Enroll now Code Resource 1 → Enroll now Code Resource 2 → Enroll now What Makes a Real AI Agent?

A true AI agent is a combination of: 🧠 Reasoning (LLM) 🛠️ Tools (APIs, integrations) 🧩 Memory (context + storage) 📊 Evaluation (testing & feedback) 🚀 Deployment (scalable system) 👉 Not just a prompt 👉 Not just a chatbot 👉 A complete intelligent system How to Start Building Your Own AI Agent If you're a beginner, follow this path: Start with Day 1 + Day 2 → Build a simple agent with tools Add memory (Day 3) → Make it smarter Improve with evaluation (Day 4) → Make it reliable Deploy using Day 5 → Make it real 💡 Don’t just learn build alongside.