AI For Beginners
microsoft/AI-For-Beginners
Microsoft’s free 12-week, 24-lesson curriculum for learning AI from scratch — lessons, quizzes, and labs.
GitHub repository
Overview
A structured course, not a Claude skill install. If your team keeps saying “we should learn AI properly,” this is the syllabus: TensorFlow / PyTorch basics, ethics, and hands-on labs over 12 weeks. Repo (copy/paste): https://github.com/microsoft/AI-For-Beginners
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Link
Installation guide
Not installed into LimeDock.
1. Copy: https://github.com/microsoft/AI-For-Beginners 2. Fork or clone the repo. 3. Open the lesson folders in order (Week 1 → Week 12). 4. Optional: run labs in Binder from the README badge.
How to use it
**Simple example** A junior marketer wants AI literacy, not another random YouTube binge.
1. Clone the curriculum. 2. Block 2 lessons per week on the calendar. 3. Do the quiz after each lesson before moving on. 4. Share one lab notebook with the team as “proof of learning.”
Example prompts
- “Summarize Week 1 of AI-For-Beginners in plain English for our growth team.”
- “Turn lesson N into a 30-minute internal workshop agenda.”
- “Quiz me on neural network basics using the curriculum outline.”
Use cases and examples
- Onboarding non-engineers to AI basics
- Team study group with a shared syllabus
- Interview prep for AI-adjacent roles
- Ethics + fundamentals before tool shopping
Prerequisites
- Curiosity and calendar time
- Python basics help for later labs (not required to start reading)
- GitHub account to fork/clone
Tips
- Don’t skim all 24 lessons in a weekend — the point is spaced practice.
- Pair a lesson with one real work question (“how does this apply to our product?”).