Learning path

Learn AI for beginners

A beginner-friendly AI learning path with short playgrounds — everyday examples, safe habits, and plain English.

Intended learner
Curious adults and complete beginners
Prerequisites
Curiosity and basic web access
Recommended pace
6 weeks · 2 hr/week · 25-minute sessions
Core spine
39 lessons · ~5.8 hrs
Electives
12 lessons · ~1.7 hrs
Difficulty
Beginner
Outcome
Explain what AI can and cannot do, use chat tools safely, verify answers, and pick simple tools.
Capstone project
Personal AI roadmap — A staged, safety-checked plan for a useful personal assistant.
Core progress0/39 · 0%
Electives progress0/12 · 0%

In the wild

Catalog picks that match this path — explore products and vendors alongside the curriculum.

Tools

  • ChatGPTEveryday chat — practice prompting and verification.
  • Free AI Voice CloningConsent-first guide to free voice tools.
  • PerplexityCited answers when you need to check the web.

Companies

  • OpenAILab behind ChatGPT and widely used APIs.

All tools · All companies

Optional self-check

Find your best starting phase

Use this short self-check to skip familiar foundations without hiding the complete roadmap.

Check only what you can already do without step-by-step help.

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.

Phase 1

AI literacy

Recognize AI, its limits, and the safety decisions that come first.

Phase 2

Practical AI use

Prompt, verify, and apply AI to useful work without outsourcing judgment.

Phase 3

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

  1. 01What is an LLM?7m
  2. 02RAG — look it up, then answer8m

Optional extras

  1. 01Capstone roadmap8m
  2. 02Prompt pattern library10m
  3. 03AI for writing & editing10m
  4. 04Image generation basics8m
  5. 05Diffusion models in plain English8m
  6. 06Memory & conversation state8m
  7. 07AI Copyright10m
  8. 08Temperature — safe vs creative6m
  9. 09Tools — when AI takes action7m
  10. 10Training vs inference8m
  11. 11Fine-tuning vs RAG9m
  12. 12Model cards and datasheets10m