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2. Google Digital Garage - Wikipedia

   en.wikipedia.org/wiki/Google_Digital_Garage

   Google Digital Garage is a nonprofit program designed to help people improve their digital skills. [1] It offers free training, courses and certifications [ 2 ] [ 3 ] via an online learning platform .

3. A self-taught engineer at Google shares the 8 best Google ...

   www.aol.com/self-taught-engineer-google-shares...

   The 32-hour course includes readings, quizzes, and a final project that allows you to apply your skills to a real-world problem. Gaba said this course is particularly useful for folks in data ...

4. Massive open online course - Wikipedia

   en.wikipedia.org/wiki/Massive_open_online_course

   One example is the course Bioelectricity, in the Fall of 2012 at Duke University, where 12,725 students enrolled, but only 7,761 ever watched a video, 3,658 attempted a quiz, 345 attempted the final exam, and 313 passed, earning a certificate.

5. Coursera - Wikipedia

   en.wikipedia.org/wiki/Coursera

   The free courses (also called "auditing a course") do not include a certificate of completion or grades or any other instructor feedback. A free course can be "upgraded" to the paid version of a course, which includes instructor's feedback and grades for the submitted assignments, and (if the student gets a passing grade) a certificate of ...

6. List of MOOC providers - Wikipedia

   en.wikipedia.org/wiki/List_of_MOOC_providers

   Free & paid courses English Non-profit 2006 US SWAYAM: Science, Engineering, Humanities, Arts Free (Fee for Exams and certification) English, Hindi Non-profit 2017 India Udacity: IT, Business, Product management, Career Free & paid courses English Commercial 2012 US Udemy: Various Anything from introductory tutorial to professional ...

7. Andrew Ng - Wikipedia

   en.wikipedia.org/wiki/Andrew_Ng

   His machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years. [23] [24] As of 2020, three of most popular courses on Coursera are Ng's: Machine Learning (#1), AI for Everyone (#5), Neural Networks and Deep Learning (#6). [25]