Critical Thinking, Innovation, Research and Development, Commercialization

CS50's Introduction to Artificial Intelligence with Python

Learn to use machine learning in Python in this introductory course on artificial intelligence.

About this 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.

Estimated 7 weeks

10-30 hours per week

Self-paced

Progress at your own speed

Show More

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.

Show Less

What you’ll learn

  • graph search algorithms
  • adversarial search
  • knowledge

Show More

  • representation
  • logical inference
  • probability theory
  • Bayesian networks
  • Markov models
  • constraint satisfaction
  • machine learning
  • reinforcement learning
  • neural networks
  • natural language processing

Show Less

  •  Institution: HarvardX
  • Subject: Computer Science
  • Level: Introductory
  • Prerequisites: CS50 or prior programming experience in python.
  •  Langauge: English
  • Video Transcript: English
  • Associated programs: Professional Certificate in computer science for Artificial intelligence 

About the instructors

David J. Malan

 

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

About the instructors

Brian Yu

Senior Preceptor in Computer Science at Harvard University

More Courses

Estimated 8 weeks

2-4 hours per week

Self - Paced

Progress at your own speed

$99

Estimated 4 weeks

2-3 hours per week

Self - Paced

Progress at your own speed

$139

Estimated 6 weeks

2-6 hours per week

Self - Paced

Progress at your own speed

$199

Estimated 10 weeks

3-9 hours per week

Self - Paced

Progress at your own speed

$199

Estimated 12 weeks

6-9 hours per week

Self - Paced

Progress at your own speed

$199

Estimated 8 weeks

8-10 hours per week

Self - Paced

Progress at your own speed

$149

Estimated 3 weeks

3-4 hours per week

Self - Paced

Progress at your own speed

$99

Estimated 6 weeks

3-5 hours per week

Self - Paced

Progress at your own speed

$169

Estimated 7 weeks

10-30 hours per week

Self - Paced

Progress at your own speed

$199

Follow Us

edX is a registered trademark of edX LLC. All Right Reserved
Founded Harvard University and MIT in 2012, edX LLC is a landing MOOC provider. The edX® platform is an online leaning destination offering high-quality courses from the world’s best universities and institutions to learners everywhere. edX is the only leading MOOC provider that is both nonprofit and open source.

Powered by Genashtim | © Copyright 2022
Genashtim