Udemy – AI Agents From Scratch: Tools, Memory, MCP and Multi-Agent

Most AI agent tutorials stop at the demo. You build a loop, call a tool, and it works once. Then the model returns an unexpected argument, a tool fails, or the agent retries forever. This course focuses on everything that comes after the demo works. You will build a real tool-calling AI agent from an empty file and turn it into a system that can use tools, maintain memory, connect through MCP, coordinate multiple agents, run unattended, and fail safely.

What You’ll Build

You’ll build the actual agent loop yourself, including:

• Tool dispatch and structured schemas
• Argument validation
• Error handling and retries
• Permission boundaries
• Max-turn governors
• State management
• Cost and safety controls

You’ll deliberately break the agent, inspect the failure, and fix the real problem instead of hiding it.