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  2. Coursera - Wikipedia

    en.wikipedia.org/wiki/Coursera

    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 completion. [57] [60] Other Coursera courses, projects, specializations, etc. cannot be audited—they are only available in paid versions ...

  3. Coursera makes courses available for free to the unemployed - AOL

    www.aol.com/news/coursera-free-courses-for...

    Coursera is helping governments return people to work by offering its online courses for free.

  4. Massive open online course - Wikipedia

    en.wikipedia.org/wiki/Massive_open_online_course

    Course developers could charge licensing fees for educational institutions that use its materials. Introductory or "gateway" courses and some remedial courses may earn the most fees. Free introductory courses may attract new students to follow-on fee-charging classes. Blended courses supplement MOOC material with face-to-face instruction.

  5. Elon Musk is wowed by Google’s new quantum chip, which it ...

    www.aol.com/finance/elon-musk-wowed-google...

    But Google, Musk, and others seem to be very excited about Willow—to the extent that the company has decided to make open-source software available, as well as a new Coursera course, to help ...

  6. Berklee Online - Wikipedia

    en.wikipedia.org/wiki/Berklee_Online

    It is the largest online music school in the world [5] with more than 18,000 annual enrollments in credit-based courses and more than 3.1 million enrollments in massive open online courses through Coursera, EdX, and Kadenze. [6] As of 2021, Berklee Online has nearly 250 courses and instructors. [7] [8]

  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]

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