AI Agents

Models that take actions in a loop instead of only answering.

💡
This course has 3 lessons. Start with the first one and use the next / previous links at the bottom of each lesson — the sidebar keeps the whole course in order.

Lessons

  1. The agent loopHow an agent differs from a chatbot: a goal, a loop, tools, and a stopping condition — plus the failure modes of each.
  2. Tools and function callingDescribing tools so the model can use them, validating arguments, and making writes safe.
  3. Memory and retrievalContext windows, summarisation, retrieval-augmented generation and what to store outside the model.

More in AI & Intelligent Development

AI Basics Math for AI Machine Learning scikit-learn TensorFlow PyTorch Natural Language Processing LangChain Ollama OpenCV Codex Claude Code OpenCode Vibe Coding Selenium Playwright

Last refreshed 2026-09-17.