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Débute 4 June 2026 04:15

Se termine 4 June 2026

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Harvard University

Computer Science for Artificial Intelligence

Embarquez dans un voyage transformatif avec la série Science Informatique pour l'Intelligence Artificielle, proposée par l'Université Harvard via un Certificat Professionnel sur edX. Cette série complète allie le cours iconique d'introduction à l'informatique CS50 de Harvard à une exploration avancée des algorithmes et concepts qui sous-tendent l'i.
Harvard University via edX  Professional Certificate

Harvard University

24 Cours


L'Université Harvard est une université de recherche privée de l'Ivy League, mondialement reconnue, située à Cambridge, dans le Massachusetts. Fondée en 1636, c'est l'une des plus anciennes institutions d'enseignement supérieur aux États-Unis.

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Embark on a transformative journey with the Computer Science for Artificial Intelligence series, offered by Harvard University through edX Professional Certificate. This comprehensive series blends the iconic CS50’s Introduction to Computer Science course with an advanced exploration into the algorithms and concepts that underpin modern artificial intelligence.

As the demand for AI and machine learning expertise skyrockets, driven by advancements in technologies such as self-driving cars, recommendation systems, medical diagnostics, and search engines, mastering these skills is essential. This program not only grounds you in programming fundamentals but also guides you through the intricacies of AI, including graph search algorithms, classification, optimization, reinforcement learning, and more.

Engage in hands-on projects and gain proficiency in machine learning libraries, arming yourself with the intelligence principles needed to design your innovative systems. Enroll today to future-proof your career in one of computer science's most dynamic domains, learning from the creators of one of the world’s most celebrated computer science courses.

Categories include:

Artificial Intelligence, Python, Machine Learning, Computer Science, and Reinforcement Learning.


Enseigné par

Brian Yu, Jason Hirschhorn, Doug Lloyd, David J. Malan, Nate Hardison, Rob Bowden, Tommy MacWilliam and Zamyla Chan


Matières