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  1. Log into your Coursera account with your email address, Google, Facebook, or Apple credential. Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM.

  2. Take the next step toward your personal and professional goals with Coursera. Join now to receive personalized recommendations from the full Coursera catalog. Join for Free

  3. Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics.

  4. Join Coursera for free. Create a profile to get a personalized learning experience with course recommendations.

  5. Find Courses and Certifications from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and hundreds of other topics.

  6. Learn the fundamentals of generative AI with Large Language Models, including data gathering, model selection, transformer architecture, and deployment. Ideal for developers with Python and machine learning experience. Offered by DeepLearning.AI & AWS on Coursera.

  7. www.coursera.org › specializations › machine-learning-introductionMachine Learning | Coursera

    is the Founder of DeepLearning.AI, Founder and CEO of Landing AI, Chairman and Co-founder of Coursera, and an Adjunct Professor at Stanford University. Dr. Ng has changed countless lives through his work, authoring or co-authoring over 200 research papers in machine learning, robotics, and related fields. He was the founding lead of the Google Brain team and Chief Scientist at Baidu, and through this work built the teams that led the AI transformation of two leading internet companies.

  8. Coursera offers flexible, affordable, job-relevant online learning to individuals and organizations worldwide. Enroll for free today and achieve your goals on Coursera.

  9. This course introduces state-of-the-art techniques for automated analysis. Automated analysis encompasses both approaches to automatically generate a very large number of tests to check whether programs meet requirements, and also means by which it is possible to *prove* that software meets requirements and that it is free from certain commonly-occurring defects, such as divide-by-zero, overflow/underflow, deadlock, race-condition freedom, buffer/array overflow, uncaught exceptions, and ...

  10. 7,000+ courses from schools like Stanford and Yale - no application required. Build career skills in data science, computer science, business, and more.

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