Lesson 11: What is a Provider? Who Gives You Access to Models
Understand the model → provider → user chain, and why the same model can cost different amounts depending on where you use it.
Lesson 12: What is an API? The Gateway to LLMs
We demystify APIs — what they are, how they work, and why you need one for an agent.
Lesson 13: Free vs Paid — Where Can I Use AI Without Paying?
A map of real free options for using AI: from web chats to local models on your computer.
Lesson 14: Local Models — Running an LLM on Your Computer with Ollama
What it means to run a model locally, when it makes sense, how Ollama works, and what models you can run based on your hardware.
Lesson 15: Summary — The Complete Map for Accessing an LLM
We consolidate everything learned with a clear mental diagram, a comparison table, and a decision tree for choosing your model and provider.
Lesson 16: What is an AI Agent? More Than a Chatbot
We define AI agent, differentiate it from a chatbot, and understand why it’s a qualitative leap.
Lesson 17: Anatomy of an Agent — the Pieces of the Puzzle
The components of an AI agent: brain, tools, memory, senses, and hands. How they fit together to create a working agent.
Lesson 18: Tools and Skills — the Agent's Hands
What tools and skills are, why they’re essential, how an agent decides which to use, and what MCP is.
Lesson 19: An Agent's Memory — How It Remembers (and Forgets)
The types of agent memory, what embeddings are, how RAG works, and why memory is the hardest problem.
Lesson 20: Agent Frameworks — OpenClaw, LangChain, and Others
The options for building an agent: from simplest to most complex. Which to choose based on your level.