Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic and planning.
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This free course is your first step towards a new career with the Become a Machine Learning Engineer Program.
Enhance your skill set and boost your hirability through innovative, independent learning.
Accelerate your career with the credential that fast-tracks you to job success.
Undergraduate computer algorithm and data structures courses that cover O notation, time and space constraints; working knowledge of college level mathematics such as calculus, probability, and linear algebra. You will also need to be familiar with Python and be comfortable making modifications to large programs.
Please review the following questions, if you answer “no” to any of them you may want to refresh your knowledge or practice the required skills prior to taking the class:
See theTechnology Requirements for using Udacity.
Artificial Intelligence is poised to become one of the most revolutionary technologies of our time. We interact with intelligent systems and services in various forms, including apps on our phones, websites, devices, etc. With that, the demand for AI Engineers is on the rise. Take this course to understand the fundamental concepts and algorithms behind artificial intelligence, and learn to apply them to various real-world problems including game playing, navigation, sign-language recognition, et al.
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