Learning path
Learn AI for beginners
A beginner-friendly AI learning path with short playgrounds — everyday examples, safe habits, and plain English.
In the wild
Catalog picks that match this path — explore products and vendors alongside the curriculum.
Tools
- ChatGPT — Everyday chat — practice prompting and verification.
- Free AI Voice Cloning — Consent-first guide to free voice tools.
- Perplexity — Cited answers when you need to check the web.
Companies
- OpenAI — Lab behind ChatGPT and widely used APIs.
Optional self-check
Find your best starting phase
Use this short self-check to skip familiar foundations without hiding the complete roadmap.
0/3 signals · Start from the foundations
Recommended entry: AI literacy. This does not mark lessons complete; use it to challenge out of familiar material.
Start at this phase →Core roadmap
Learn in phases, build as you go
Open a module when you are ready. The full lesson sequence is still preserved for resume and next-lesson navigation.
AI literacy
Recognize AI, its limits, and the safety decisions that come first.
Foundations and limitsBuild reliable judgment about where AI helps and where it fails.12 lessons
Safety and societyBuild reliable judgment about where AI helps and where it fails.8 lessons
Practical AI use
Prompt, verify, and apply AI to useful work without outsourcing judgment.
Prompt foundationsPractice a repeatable workflow and keep a human verification step.12 lessons
Builds on: AI literacy
Applied workflowsPractice a repeatable workflow and keep a human verification step.5 lessons
Builds on: AI literacy
How AI systems work
Build a working mental model of language models, retrieval, tools, and agents.
Model foundationsConnect system behavior to the technical ideas underneath it.2 lessons
Builds on: Practical AI use
Optional extras
- 01Capstone roadmap8m
- 02Prompt pattern library10m
- 03AI for writing & editing10m
- 04Image generation basics8m
- 05Diffusion models in plain English8m
- 06Memory & conversation state8m
- 07AI Copyright10m
- 08Temperature — safe vs creative6m
- 09Tools — when AI takes action7m
- 10Training vs inference8m
- 11Fine-tuning vs RAG9m
- 12Model cards and datasheets10m