Goal paths

Pick the goal, follow the list. Each path puts the right lessons in order and remembers where you are, in this browser only.

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1I am a
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3My level

Your path

Pick your answers

Every goal path is an ordered list of lessons with “you are here” and “next lesson” built in.

All 9 paths

Lesson counts and hours are recounted from the syllabus every build. Lessons not out yet say Coming soon.

Working professionals

Use AI at Work

No code. Understand AI, use the best assistants well, write prompts that work and save hours every week safely.

14 steps75 lessonsAbout 17 h 28 min4 free now
Students

AI for Students

Free tools first. Learn how AI works, study with it honestly, research with real citations and see which AI jobs fit you.

10 steps53 lessonsAbout 11 h 11 min4 free now
Teachers

AI for Teachers

Plan lessons, give faster feedback and set AI rules students will follow, with free tools and honest limits.

7 steps40 lessonsAbout 8 h 21 min3 free now
Small business owners

Grow a Business With AI

Answer customers faster, make product content, plan marketing and automate orders, without hiring a developer.

10 steps52 lessonsAbout 14 h 45 min1 free now
Managers and leaders

AI Strategy for Leaders

Non-coder friendly. Know what AI can do, pick use cases, decide build or buy, roll out safely and measure the impact.

7 steps41 lessonsAbout 9 h 51 min4 free now
Career switchers and graduates

Get an AI Engineering Job

Python, LLM APIs, RAG and agents, then tests, a portfolio and interview prep. The shortest honest route to an AI engineer role.

15 steps83 lessonsAbout 19 h 13 min2 free now
Developers

Build AI Agents and Apps

From your first API call to agents with tools, MCP and multi-agent teams, then a real app with login, streaming and deploy.

15 steps88 lessonsAbout 21 h 3 min2 free now
Analysts

Data and SQL With AI

Spreadsheets, pandas and SQL with an AI assistant, then a chat-with-your-database agent and dashboards.

5 steps31 lessonsAbout 7 h 33 min
ML-curious developers

Train and Fine-Tune Models

The maths intuition, neural networks and transformers, then datasets, LoRA fine-tuning, preference tuning and shipping your model.

9 steps45 lessonsAbout 10 h 50 min