CS50's AI with Python
Master artificial intelligence fundamentals and implement ML algorithms using Python in Harvard's comprehensive AI course.
Master artificial intelligence fundamentals and implement ML algorithms using Python in Harvard's comprehensive AI course.
This comprehensive course explores core artificial intelligence concepts and their practical implementation in Python. Students learn fundamental AI algorithms and theories while building hands-on projects in machine learning, neural networks, and natural language processing. The curriculum covers essential topics including graph search algorithms, knowledge representation, probabilistic reasoning, and machine learning techniques. Through practical programming assignments, students gain experience with AI libraries and develop skills to create intelligent systems. The course combines theoretical understanding with practical application, preparing students to design and implement AI solutions.
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What you'll learn
Master fundamental AI concepts and algorithms
Implement machine learning solutions using Python
Understand neural networks and deep learning principles
Develop skills in natural language processing
Gain practical experience with AI libraries and frameworks
Create intelligent systems using modern AI techniques
Skills you'll gain
This course includes:
PreRecorded video
Hands-on projects, Programming assignments
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive introduction to artificial intelligence principles and their implementation using Python. Students learn about fundamental AI concepts including search algorithms, knowledge representation, machine learning, and neural networks. The curriculum emphasizes hands-on experience through programming projects that implement various AI techniques. Topics cover both theoretical foundations and practical applications, from basic graph search algorithms to advanced concepts in natural language processing and reinforcement learning.
Fee Structure
Instructors
25 Courses
David J. Malan: Pioneering Computer Science Education at Harvard and Beyond
David J. Malan is a prominent figure in computer science education, serving as the Gordon McKay Professor of the Practice of Computer Science at Harvard University. He is best known for teaching CS50, Harvard's introductory computer science course, which has become one of the university's largest and most popular offerings. Malan's teaching extends beyond Harvard, as CS50 is also taught at Yale University and is available as a massive open online course (MOOC) on edX, attracting millions of learners worldwide. His expertise spans various areas of computer science, including cybersecurity, digital forensics, and computer science education. Malan's journey in computer science began as a student at Harvard, where he initially studied government before discovering his passion for programming through CS50. He went on to earn his bachelor's, master's, and doctoral degrees in computer science from Harvard. In addition to his work at Harvard's School of Engineering and Applied Sciences, Malan is a member of the Faculty of Education in the Graduate School of Education and teaches at Harvard Business School, Harvard Law School, Harvard Extension School, and Harvard Summer School. His innovative teaching methods, engaging lectures, and commitment to making computer science accessible to all have earned him recognition as a leading educator in the field.
18 Courses
Harvard's Young Computer Science Educator and CS50 Contributor
Brian Yu is a Senior Preceptor in Computer Science at Harvard University's Division of Continuing Education, a position he assumed shortly after completing his undergraduate studies. Yu graduated from Harvard in 2019 with an A.B. in Computer Science and Linguistics, demonstrating his expertise in both fields. Despite his relatively recent graduation, Yu has quickly established himself as a valuable member of Harvard's computer science education team. He is particularly known for his involvement with CS50, Harvard's popular introductory computer science course. Yu's contributions to CS50 include developing course materials, delivering lectures, and creating educational content for both on-campus and online learners. His dual background in computer science and linguistics allows him to bring a unique perspective to his teaching, often incorporating elements of natural language processing and computational linguistics into his work. Yu's rapid ascent from student to educator at one of the world's most prestigious universities underscores his exceptional talent and dedication to computer science education
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