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Learn moreIntro to Artificial Intelligence
Free Course
Learn the fundamentals of AI.
Estimated time
Approx. 4 Months
Skill level
Intermediate
Prerequisites
See prerequisites in detail
About this course
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we'll also cover the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.
Note: Parts of this course are featured in the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree programs. If you are interested in AI, be sure to check out those programs as well.
What you will learn
Fundamentals of AI
- Statistics, Uncertainty, and Bayes networks.
- Machine learning.
- Logic and planning.
Applications of AI
- Image processing and computer vision.
- Robotics and robot motion planning.
- Natural language processing and information retrieval.
Prerequisites and requirements
Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra. You should have understanding of probability theory comparable to that covered in our Intro to Statistics course.
See the Technology Requirements for using Udacity.
Why take this course?
Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science. In this course you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.
Learn with the best.
Peter Norvig
Instructor
Sebastian Thrun
Instructor