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2. 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.

3. 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 and educational partnerships.

4. 5 of the best free online AI and ChatGPT courses available ...

   www.aol.com/news/5-best-free-online-ai-093306424...

   FREE COURSES: A wide range of beginner-friendly AI and ChatGPT courses are available for free on Udemy.We're not going to pretend for one minute that artificial intelligence doesn't scare us.

5. Udacity - Wikipedia

   en.wikipedia.org/wiki/Udacity

   Udacity is the outgrowth of free computer science classes offered in 2011 through Stanford University. [9] Thrun has stated he hopes half a million students will enroll, after an enrollment of 160,000 students in the predecessor course at Stanford, Introduction to Artificial Intelligence, [10] and 90,000 students had enrolled in the initial two classes as of March 2012.

6. 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]

7. fast.ai - Wikipedia

   en.wikipedia.org/wiki/Fast.ai

   In 2018, students of fast.ai participated in the Stanford’s DAWNBench challenge alongside big tech companies such as Google and Intel.While Google could obtain an edge in some challenges due to its highly specialized TPU chips, the CIFAR-10 challenge was won by the fast.ai students, programming the fastest and cheapest algorithms.