top of page
Image by Codioful (Formerly Gradienta)

CS50's Introduction to Artificial Intelligence with Python

Price:

Free

Difficulty Level:

Advanced

Duration:

(6-8 weeks)

Path:

ABOUT THE COURSE :

AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.


CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.


Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.

To fully engage with and succeed in this course, students should have:

  • Programming Experience:Proficiency in Python, including familiarity with functions, loops, data structures (lists, dictionaries, etc.), and object-oriented programming.

  • Mathematics:A solid understanding of linear algebra, probability, and statistics, including concepts such as vectors, matrices, probability distributions, and hypothesis testing.

  • CS50x:Completion of CS50's Introduction to Computer Science or equivalent experience with foundational computer science concepts such as algorithms, data structures, and basic programming paradigms.

Note: If you lack experience in any of these areas, it is recommended to first complete:

  • Python Programming courses (e.g., CS50's Introduction to Programming with Python)

  • Basic mathematic

Image by Codioful (Formerly Gradienta)

YOUR INSTRUCTOR

David J. Malan

Gordon McKay Professor of the Practice of Computer Science at Harvard University

Graduation

RELATED COURSES

Nothing was found

bottom of page