If you enjoy technology and want to learn more about it, this Harvard Free Course is for you. An Introduction to Artificial Intelligence (A.I.) using Python Programming is a free course offered by Harvard University in collaboration with edX.
Artificial intelligence is transforming the world, work, and play. The demand for A.I. and machine learning skills is fast increasing, thanks to new technologies like self-driving cars and recommendation systems and improvements to old ones like medical diagnostics and search engines. This course will help and guide you take the first step toward solving significant real-world challenges and securing your career’s future.
Introduction to Artificial Intelligence with Python in CS50 looks into the principles and algorithms that support modern artificial intelligence. These concepts support game-playing engines, handwriting recognition, and machine translation.
What You’ll Learn | Introduction to A.I. using Python
- Search methods for graphs
- adversarial investigation
- logical inference -knowledge representation
- Bayesian networks -Markov models -probability theory
- satisfaction with constraints
- reinforcement learning -machine learning
- natural language processing -neural networks
How to Register
Anyone interested in pursuing this course can do so for free online by clicking the ‘Enrol Now’ button on the official page or visit harvard’s official site. The course is expected to last seven weeks (at a rate of 10–30 hours each week).
Other important info
- Duration: This is a self-paced course that will take 10-30 hours per week for seven weeks to complete.
- Price: The system is free to register, but the Harvard University validated certificate costs $14,423.
- Language: The course is delivered in English, and a video transcript for each video tutorial is also available.
Instructors on the course
David J. Malan and Brian Yu are the instructors for this instructor-led course. David is a Member of the Faculty of Education at the Graduate School of Education at Harvard University and the Gordon McKay Professor of the Practice of Computer Science in the School of Engineering and Applied Sciences. In 1999, 2004, and 2007, he got his A.B., S.M., and Ph.D. in Computer Science from Harvard, respectively.
On the other hand, Brian is a Senior Preceptor in Computer Science at Harvard University’s Division of Continuing Education. In 2019, he graduated from Harvard with an A.B. in Computer Science and Linguistics.