Ollama
Run open models locally, offline.
Ollama is taught here in 3 lessons, running from Running models locally through to Choosing and evaluating models. Each lesson takes one topic, shows the working code, and links onward to the next, so the course can be read straight through in order.
| Track | AI & Intelligent Development |
| Lessons | 3 |
| Level | Beginner |
| Reading time | about 39 minutes |
| Prerequisites | Helpful, but not required: LangChain |
Lessons
- Running models locallyInstall Ollama, pull a model, and understand why local inference is a different trade-off rather than a free replacement.
- Calling Ollama from codeThe HTTP API, streaming responses, embeddings, and a small wrapper you can reuse across a project.
- Choosing and evaluating modelsHow to pick a local model by task rather than by leaderboard, and how to test it against your own data.
More in AI & Intelligent Development
AI Basics AI Agents Math for AI Machine Learning scikit-learn TensorFlow PyTorch Natural Language Processing LangChain OpenCV Codex Claude Code OpenCode Vibe Coding Selenium Playwright
FAQ
How long does the Ollama course take?
It has 3 lessons, about 39 minutes of reading. Expect roughly twice that if you type out and run every example.
Do I need prior experience for Ollama?
Not strictly. It helps to have read LangChain first, because some lessons build on it, but every lesson explains its own assumptions.
What should I read after Ollama?
Continue with OpenCV (3 lessons), the next course in AI & Intelligent Development.
Last refreshed 2026-09-18.