DeepLearning.AI vs Google
We haven't taken both platforms through a full review cycle yet. The scores below are placeholders.
DeepLearning.AI or Google: which should you choose?
Choose DeepLearning.AI if
- [TODO: verify]
- [TODO: verify]
- [TODO: verify]
Choose Google if
- [TODO: verify]
- [TODO: verify]
- [TODO: verify]
Side by side
| DeepLearning.AI | ||
|---|---|---|
| Cost model | Free to audit on Coursera; certificates are paid | Completely free |
| What is free | Every course can be audited for free. You pay only for the certificate. | Everything is free. No certificate exists to pay for. |
| Certificates | Paid, issued via Coursera | None |
| Best for | Structured, well-produced courses from Andrew Ng's team | Rigorous conceptual grounding with excellent visualisations |
| Weakest at | Hands-on practice: leans toward video and quizzes over projects | Anyone who wants a credential at the end |
What is the best course on each?
- DeepLearning.AI: Machine Learning Specialization
The Machine Learning Specialization has 3 courses and 95 hours of Andrew Ng's lessons. Coursera's FAQ says you cannot take it for free, so check the cost first.
- Google: Machine Learning Crash Course
Google's Machine Learning Crash Course has 12 modules and takes about 13.5 hours by Google's own timings. It is free, with quiz badges and no certificate.
Where to go next
- DeepLearning.AI: our platform review
The most reliable name in free-to-audit AI education. Skip the certificate unless you need it for a CV.
- Google: our platform review
As good as free ML education gets, if a certificate doesn't matter to you.
Last checked .
Still torn?
Skip the platform question. Answer two questions about you and we'll pick the course.