Study 12-15 hrs/week and complete in 3 months.
Classroom opens 7 days after enrollment closes
Learn from the world’s foremost AI experts, and develop a deep understanding of algorithms being applied to real-world problems in natural language processing, computer vision, bioinformatics, and more. Practice a structured approach for applying these techniques to new challenges, and emerge fully prepared to advance in the field.
Learn AI algorithms that have been successfully applied to real world problems in NLP, computer vision, bioinformatics, and more. Learn how to solve problems with these tools so that you can apply them in the real world.
Explore probabilistic models for pattern recognition with Sebastian Thrun, founder of Google’s self-driving car team. Discover how to implement key AI algorithms with Peter Norvig, co-author of the leading AI textbook. Learn how to frame and solve modern AI problems, and gain real-world experience.
Work on specially-designed projects, and receive detailed feedback on each from our mentors.
Work on career-caliber projects that will populate and enhance your professional profile, and benefit from detailed and actionable feedback from project reviewers who will help ensure you're doing your best work.
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This program requires experience with linear algebra, statistics, and Python (including object-oriented programming).See detailed requirements.
Use constraint propagation and search to build an agent that reasons like a human would to efficiently solve any Sudoku puzzle.Build a Sudoku Solver
Build agents that can reason to achieve their goals using search and symbolic logic—like the NASA Mars rovers.Build a Forward Planning Agent
Extend classical search to adversarial domains, to build agents that make good decisions without any human intervention—such as the DeepMind AlphaGo agent.Build an Adversarial Game Playing Agent
Model real-world uncertainty through probability to perform pattern recognition.Part of Speech Tagging
“AI is going to create all sorts of new jobs. I think it's nothing but upside and exciting for those who know what to do with it.”— Jordan Bitterman, CMO, IBM Watson Content & IoT Platform
Research Director, Google
Peter Norvig is a Director of Research at Google and is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field.
Sebastian Thrun is a scientist, educator, inventor, and entrepreneur. Prior to founding Udacity, he launched Google’s self-driving car project.
Professor of Computer Science, Georgia Tech
Thad Starner is the director of the Contextual Computing Group (CCG) at Georgia Tech and is also the longest-serving Technical Lead/Manager on Google's Glass project.
It was good. And I will improve my skills with ai. Thank you.
The program was great, but it would be better for me if more advanced lectures were provided. I love the way that the projects were going, which helped me a lot!
EPIC!. I have learnt so many things along the way. Most importantly, How to deal with python dictionaries :P (They are everywhere!). Thanks for this experience!
This has been fantastic experience, I get to learn more about AI and AI algorithms and continue to build application on this platform.
Learn everything you need to start building your own AI applications