Udemy – AI Agents for Beginners: Build Alex, your AI HR Assistant

Most AI-agent tutorials start with a framework. A few lines of code later, you have an “agent”—but it can still be hard to understand what is actually happening underneath. This course takes the opposite approach. You will learn how AI agents work from first principles, build each of the 6 components yourself in Python, and then combine everything into a complete Job Application Coach – Alex!.

Learn Agents One Building Block At A Time

• Block 1 — LLM Brain|: Call an LLM and understand messages, responses, tokens, temperature, and conversation history.
• Block 2 — System Prompt: Learn how instructions define your agent’s role, task, behavior, output format, and guardrails.
• Block 3 — Agent Loop (ReAct): Build the core Think → Act → Observe loop yourself in plain Python and see how an agent moves from one step to the next.
• Block 4 — Tools: Connect Tools using OpenAI function calling so your agent can search the web and use external information. First we will build Mock tools then add Tavily search capability.
• Block 5 — Memory: Give your agent conversation and session memory. This will teach you the importance of memory management for Agents.
• Block 6 — Planning: Teach your agent to recognize complex requests, break them into steps, and execute those steps in sequence.