Draft:DeepLearning.AI

Submission declined on 20 March 2026 by ScalarFactor (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that: provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles; are reliable: from reputable outlets with editorial oversight; are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content. Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by ScalarFactor 5 months ago. Last edited by Colorado001 24 days ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

Submission declined on 19 February 2026 by OrangeWaylon (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that: provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles; are reliable: from reputable outlets with editorial oversight; are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content. Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia. Declined by OrangeWaylon 6 months ago.

• Comment: In accordance with Wikipedia's Conflict of interest guideline, I disclose that I have a conflict of interest regarding the subject of this article. Xnataliax (talk) 21:05, 18 February 2026 (UTC)

DeepLearning.AI is an American education technology company that develops online courses and professional certificates in artificial intelligence and machine learning. Founded in 2017 by computer scientist Andrew Ng.,^[1] a Stanford University adjunct professor who co-founded Google Brain and Coursera, the company offers long-form and short courses, specializations, and professional certificates through Coursera and its own learning platform. The company is headquartered in Mountain View, California.

The company's mission is to make world-class AI education accessible to learners worldwide, with a focus on practical, hands-on learning that enables students to build and deploy AI applications.^[2] DeepLearning.AI courses emphasize project-based learning and real-world implementation over purely theoretical instruction.^[3]

Andrew Ng announced his departure from Baidu in March 2017, where he had served as Chief Scientist..^[4] On August 8, 2017, Ng launched DeepLearning.AI as an education project focused on deep learning.^[5] Its initial offering, the Deep Learning Specialization, consisted of five courses covering neural networks, convolutional networks, sequence models, and practical implementation using Python and TensorFlow, delivered through Coursera's platform^[1]

In 2018, DeepLearning.AI introduced "AI for Everyone," a non-technical course designed for business leaders and professionals seeking to understand machine learning applications without programming expertise.^[6][7] In 2023, the company continued to expand its course catalog, developing partnerships with technology companies including OpenAI,^[8] Replit,^[9] Anthropic,^[10] and Meta^[11] to create specialized courses on generative AI.

DeepLearning.AI has built over 150 courses and specializations on machine learning and generative AI,.^[12] and by late 2024, it had generated over US$40 million in revenue through Coursera^[12]

DeepLearning.AI develops online courses, specializations, and professional certificates in artificial intelligence. Most courses combine video lectures with hands-on programming assignments and quizzes.

DeepLearning.AI publishes two newsletters covering artificial intelligence developments: "The Batch," a weekly newsletter featuring AI news, technical insights, and industry analysis,^[13] and "Data Points," a biweekly newsletter that summarizes key releases and announcements in the AI field.