Udemy – Master Agentic AI Within 2Hours-From Zero To Master

This course answers both questions in about two hours. Every idea is explained in simple English, with a diagram, and then shown in working Python code. Every code demo in this course was run, and you see the real output.

Part 1: Foundations

• What “agentic” means, and how an agent differs from a chatbot.
• The agent loop: think, act, observe, repeat.
• When you should use a simple workflow instead of an agent.

Part 2: The LLM inside the agent

• Tokens, context window and effort, in four minutes.
• System prompts and roles.
• Structured output: make the model reply in clean JSON.

Part 3: Build agents in Python

• Set up Python and store your API key safely.
• Give the agent tools: functions it can call.
• Write the agent loop yourself, line by line, and stop infinite loops.
• Add memory, RAG (search your own documents), planning and self-reflection.