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2. Online Classes That Are Worth the Investment - AOL

   www.aol.com/online-classes-worth-investment...

   Google’s IT Support Professional Certificate is geared toward those interested in pursuing an IT career and does not require a degree or prior experience in the field. According to Coursera ...

3. Coursera - Wikipedia

   en.wikipedia.org/wiki/Coursera

   Such courses include courses on Generative AI, Data analytics, IT Support, Digital Marketing & E-commerce, Cybersecurity, and more. Google has a total of 1,172 courses on Coursera. They also offered 100,000 scholarships. [53] Google and its 20+ partners will accept those certificates as 4-year degree equivalent. [54] [55]

4. Massive open online course - Wikipedia

   en.wikipedia.org/wiki/Massive_open_online_course

   The courses are free if one does not want a certificate, i.e. audit mode. For certification the platform charges approximately ₹1,000 (approximately US$ 12). A course billed as "Asia's first MOOC" given by the Hong Kong University of Science and Technology through Coursera starting in April 2013 registered 17,000 students. About 60% were from ...

5. 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 .

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

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

   Gaba is a self-taught engineer who used Google's free and auditable courses when learning to code. Gaba says there's a course for programmers at every level on topics like Python and generative AI.

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]