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 also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.
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.
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.
Approx. 4 Months
