DeepLearning.AI is an AI education platform offering short courses, longer courses and professional certificates. Course videos are free to watch, while the paid Pro plan adds labs, quizzes and certificates.
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DeepLearning.AI is an online AI education platform where learners watch video lessons, work through coding labs and earn certificates on topics from machine learning basics to agents, RAG and prompt engineering. The company was founded in 2017 by Andrew Ng, and it describes itself as an education technology company offering "world-class education, hands-on training, and a collaborative community."
The catalog mixes three formats: short courses built with technology companies, longer courses, and multi-course professional certificates such as the Machine Learning Specialization. As captured on September 28, 2026, the course filter listed 107 short courses, 13 courses and 10 professional certificates, with GenAI applications (60), prompt engineering (46), agents (43) and RAG (32) among the most common topics.
Access is split between a free tier and a paid membership called DeepLearning.AI Pro. Watching course videos is free; quizzes, graded labs, saved work and certificates sit behind Pro. The company's own learner figures vary by page: the homepage invites visitors to "join over 7 million people," while the membership page cites instructors "trusted by over 10 million learners."
Many of the same long-form programs are also sold on Coursera, a separate platform with its own pricing and certificates, so the two routes differ in cost and in who issues the certificate.
Free members can watch course videos, use the community forum and receive newsletters, "but they won't have access to assessments, certificates, or additional tools." Quizzes and graded assignments appear locked on the free plan. DeepLearning.AI Pro unlocks the course library, professional certificates and new content in one subscription, and the company says new AI developments are integrated into Pro "within weeks."
At launch, Andrew Ng's announcement said Pro gave access to 150+ programs, including his Agentic AI course, an LLM Post-training course by Sharon Zhou and a PyTorch professional certificate by Laurence Moroney. The same letter says many of the new tools Andrew Ng is building for AI application development will be available first to Pro members, so the membership is positioned as more than a course pass.
Labs run as Jupyter notebooks inside the learning workspace. Learners can download notebooks and related files to keep experimenting on their own machine, and some courses also include a requirements.txt file listing package versions so the environment can be recreated locally. The API keys used inside short course labs are not shared, so running notebooks elsewhere requires your own keys, and the short course GitHub repositories are not published.
Recognition depends on the course format. Specializations and long-form courses issue certificates, either through Coursera or directly by DeepLearning.AI for Pro subscribers. Short courses instead unlock an Accomplishment for Pro subscribers, a completion record that is explicitly not an official certificate; it comes with a shareable link that can be posted online or added to applications. Certificates earned on the DeepLearning.AI platform can be viewed, downloaded and shared on LinkedIn or in a portfolio.
Beyond courses, the free tier includes The Batch, a weekly AI news newsletter, and access to the community forum. In the mobile app, The Batch is presented as DeepLearning.AI's perspective on the week, "including Andrew Ng's take on what matters."
The Pro trial lasts 7 days, and the payment method is collected upfront. To cancel before being charged:
After cancelling, Pro access continues until the trial ends and the account then returns to the Free plan.
For busy learners, the company says most spend 3-5 hours per week on coursework, and courses are self-paced.
DeepLearning.AI pitches its online AI courses at an audience ranging "from first-time coders to senior engineers," with separate tracks for software engineers, product managers and general audiences. The fit depends on what kind of proof of learning you need:
It is a weaker fit for learners who want graded practice without paying, since assessments are restricted to Pro, and for anyone who needs certificates for short courses, which only produce Accomplishments.
Some courses are exclusive to DeepLearning.AI's own platform, which the company calls its "primary platform where we launch new content first." On Coursera, the Machine Learning Specialization showed 4.9 from 39,361 reviews of its courses as captured on September 28, 2026; Andrew Ng is also Coursera's co-founder and chairman.
Prices are listed in USD and exclude taxes unless otherwise stated; tax is calculated from the billing address before payment.
| Plan | Listed price | Billing | Main access |
|---|---|---|---|
| Free | $0 | None | Course videos, community forum, The Batch |
| DeepLearning.AI Pro (monthly) | $30 per month | Monthly, 7-day trial | Labs, quizzes, saved work, certificates |
| DeepLearning.AI Pro (annual) | $25 per month, $300 per year | Annual, 7-day trial | Same as monthly Pro |
| Team | $25 per month, $300 per year | Annual | Pro features plus admin tools |
| Enterprise | Not shown | Not shown | Pro plus branded portal, custom training, analytics |
The plan data also carries a $50 "anchor" figure for both Pro options; its meaning is not explained in the captured text. Team is described as "For 10 to 100 Users," with card payments supported and bank transfer listed as coming soon.
Rules that sit outside the table:
Coursera sets its own prices for the same programs, and DeepLearning.AI courses are not available through Coursera Plus, so each course or Specialization there is paid separately.
Course videos are free to watch. Quizzes, graded assignments, saved work and certificates require DeepLearning.AI Pro.
As captured on September 28, 2026, Pro was listed at $30 per month on monthly billing or $300 per year on annual billing, in USD before tax, with a 7-day trial.
No. Short courses unlock an Accomplishment for Pro subscribers, which the company says is not an official certificate. Certificates are issued for specializations and long-form courses.
For courses offered on both, content and quizzes are identical and both certificates are signed by the educators. Pro covers the full library in one subscription, while Coursera charges per course or Specialization.
Certificates you earned and your course progress stay linked to your account. Pro-only features end after the billing cycle, and progress is saved for up to 180 days if you upgrade again.
