
MS in Computer Science
Artificial Intelligence
In order to get a Master Degree from World University, you must successfully complete 10 courses.
You can select them one by one, one after another or you may want to take breaks between courses.
To register for a course you wish to take:
1. Find the course on the list below.
2. Click on the University name.
3. A list of courses provided by that university will appear.
4. Find the course you wish to register in that list.
5. Click on the name of the course.
6. Follow the instructions to register the course.
7. After registration to the course go to "Operations", and inform us by "submit courses" button.
8. When you complete the course and get your certificate from the university go to "Operations" and inform us by "submit certificates" button.
The Best of the Best 40 courses for MS in Computer Science - Artificial Intelligence
(Available worldwide by top universities)
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Machine Learning I, Supervised Learning - Brown University
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Machine Learning, Unsupervised Learning - Brown University
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Reinforcement Learning - Brown University
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Machine Learning - Brown University
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Learning from DATA - California Institute of Technology
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Artificial Intelligence - Columbia University
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Machine Learning - Columbia University
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Machine Learning for Data Science, Analytics - Columbia University
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Autonomous Mobile Robots - ETH Zurich
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Knowledge Based AI - Georgia Institute of Technology
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Introduction to Computer Vision - Georgia Institute of Technology
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Machine Learning for Trading - Georgia Institute of Technology
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Machine Learning - Georgia Institute of Technology
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Practical Machine Learning - Johns Hopkins University
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Probabilistic Graphical Models I, Representation - Stanford University
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Machine Learning - Stanford University
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Probabilistic Graphical Models 2, Inference - Stanford University
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Artificial Intelligence for Robotics - Stanford University
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Introduction to Artificial Intelligence - Stanford University
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Artificial Intelligence for Robotics, Robo Car - Stanford University
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Introduction to Machine Learning - Stanford University
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Introduction to Artificial Intelligence - Stanford University
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Natural Language Processing - Stanford University
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Probabilistic Graphical Models 3 - Stanford University
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Autonomous Navigation for Flying Robots - Technische Universität München
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Introduction to Recommender Systems - University of Minnesota
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Nearest Neighbor Collaborative Filtering - University of Minnesota
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Machine Learning with Big Data - University of California
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Practical Deep Learning for Coders, Part I - University of San Francisco
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Machine Learning, Clustering & Retrieval - University of Washington
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Machine Learning Foundations, A Case Study - University of Washington
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Machine Learning, Classification - University of Washington
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Practical Predictive Analytics, Models, Methods - University of Washington
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Machine Learning, Regressions - University of Washington
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Computational Neuroscience - University of Washington
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Machine Learning - University of Washington
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Machine Learning, Recommender Systems - University of Washington
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Machine Learning for Data Analysis - Wesleyan University
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Regression Modeling in Practice - Wesleyan University