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  2. I work at Microsoft and teach a Stanford Online course on AI ...

    www.aol.com/news/microsoft-teach-stanford-online...

    This as-told-to essay is based on a conversation with Aditya Challapally, a 30-year-old Microsoft employee who teaches a course for Stanford Online about generative AI. This story has been edited ...

  3. Level Up Your Life: 22 Online Courses Worth Gifting To ... - AOL

    www.aol.com/treat-brain-22-online-courses...

    The Artificial Intelligence A-Z course offers comprehensive training in AI technology. ... in-course support and a bonus three-hour course on Generative AI and LLMs. ... Data Science career school ...

  4. The universities already offering AI degrees, from Penn to ...

    www.aol.com/news/universities-already-offering...

    Beginning this academic year, students earning a BSE in Artificial Intelligence can explore courses in machine learning, computing algorithms, data analytics, and advanced robotics.

  5. IBM SkillsBuild - Wikipedia

    en.wikipedia.org/wiki/IBM_SkillsBuild

    The new generative AI roadmap includes coursework and enhanced features. Coursework includes Prompt-Writing, Getting Started with Machine Learning, Improving Customer Service with AI, and Generative AI in Action. IBM SkillsBuild offers 1,000 courses in 20 languages on artificial intelligence, cybersecurity, data analysis, cloud computing ...

  6. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  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.

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