AI Basics
What machine intelligence is and how the pieces fit together.
AI Basics is taught here in 3 lessons, running from AI, machine learning, deep learning through to Using a model API. 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 | None beyond being able to open a text editor |
Lessons
- AI, machine learning, deep learningThe three terms people use interchangeably, what a model actually is, and where the boundary of "intelligence" sits.
- The model lifecycleFrom framing a problem to monitoring it in production — and why most AI projects fail before any model is trained.
- Using a model APITokens, temperature, system prompts, structured output and cost control — the practical mechanics of calling an LLM.
More in AI & Intelligent Development
AI Agents Math for AI Machine Learning scikit-learn TensorFlow PyTorch Natural Language Processing LangChain Ollama OpenCV Codex Claude Code OpenCode Vibe Coding Selenium Playwright
FAQ
How long does the AI Basics 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 AI Basics?
No. This is the first course in AI & Intelligent Development, so it starts from the beginning and assumes no background.
What should I read after AI Basics?
Continue with AI Agents (13 lessons), the next course in AI & Intelligent Development.
Last refreshed 2026-09-18.