Use AI tools well at work
Prompt, evaluate output, and automate everyday tasks safely
Plan it around your week
This path is roughly 9 hours in total. Tell us how much time you actually have.
About 3 weeks.
Based on our own estimate of the path, not the providers' figures. Most people need a bit longer than they think.
How long does it take?
| Courses | 2 |
|---|---|
| Weeks | About 3 |
| Hours a week | 3 |
| Total hours | About 9 |
The steps, in order
Why this step: The clearest free course on prompting and LLM use cases.
You're ready for the next step when: You can prompt effectively and spot unreliable output.
Why this step: Rounds out the planning side once you know what LLMs can do.
You're ready for the next step when: You can suggest and scope a small AI project.
Where to go next
- Build apps with LLMs
Ship an app that uses an LLM API, retrieval and evaluation
- All free AI learning paths
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- All free AI courses, rated
Filter the whole catalogue by level, topic and certificate.
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Write the Python every AI course assumes
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Train, evaluate and explain classic ML models
- The maths ML actually uses
Enough linear algebra, calculus and probability to read ML courses without panic
- Deep learning, hands-on
Build and train neural networks for vision and text
- Become an ML engineer
Deploy, monitor and maintain models in production
- From data analysis to AI
Move from spreadsheets and SQL to ML and AI
- Is DeepLearning.AI worth it?
Our review of DeepLearning.AI, where steps on this path are hosted.
Want the bigger picture?
Roadmaps show every skill in a field, in order, so you can see where this path fits.

