This two-part professional certificate from edX tracks Harvard's CS50 and CS50AI courses, allowing learners without the prerequisite CS knowledge to break into AI.ĪI is computer science, so making sure you understand traditional CS concepts is critical to learning how to make intelligent systems. The CS50 computer science course from Harvard is one of the most popular CS online courses currently available. Learners that yearn for a better computer science foundation For that, check out the next course in this list.Įnroll in Artificial Intelligence Nanodegree The content mirrors that of many intro AI courses offered at universities and is presented by two top minds in the industry.ĭespite the positives, one central AI technique missing from this curriculum is machine learning. Overall, this course offers a strong foundation in Artificial Intelligence techniques. Fundamentals of Probabilistic Graphical Models.Introduction to Artificial Intelligence.These projects will provide valuable portfolio pieces and proof of your newly acquired AI skills. The course features several example projects that'll test your new knowledge from each lesson, including building a sudoku solver, a forward planning agent, an adversarial game-playing agent, and part of speech tagging model. This course's curriculum follows a similar, but condensed, path to Norvig's textbook and forms a general overview of AI techniques. Peter Norvig, the author of Artificial Intelligence: A Modern Approach, the most widely used AI textbook in universities, co-created this AI course. All of the prerequisite courses listed above, except for Codecademy, have entirely free videos.Īim not to just sit and watch videos, but to solve as many problems in these subjects as possible.Īnyone interested in learning a wide range of AI techniques from some of the top AI experts If you have some familiarity with each, you may find it easier to take one of the AI courses listed below and reference these courses when something doesn't make sense. Programming: Learn Python from Codecademy, or any other top Python course.Calculus: Single Variable Calculus and Multivariable Calculus from MIT.Linear Algebra: Linear Algebra 18.06 from MIT. Statistics: Fundamentals of Statistics from MIT.Probability: Fat Chance: Probability from the Ground Up from Harvard.If you're uncomfortable with any of these subjects, the following are some of the top-rated courses that may benefit you: You don't need a graduate-level understanding, but AI is an advanced math and computer science subject, so comfort with these prerequisites is essential. Most AI courses assume you have basic knowledge of statistics, probability, linear algebra, calculus, and programming, and without this mathematics exposure, you'll find it challenging to understand many AI concepts.
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