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 essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun, including search, optimization, planning, pattern recognition, and more.
This program requires experience with linear algebra, statistics, and Python (including object-oriented programming).See detailed requirements.
Constraint Satisfaction Problems
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
Search, Optimization, and Planning
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
Fundamentals of Probabilistic Graphical Models
Model real-world uncertainty through probability to perform pattern recognition.
Part of Speech Tagging
Peter Norvig, Sebastian Thrun, Thad Starner, Peter K., Eduardo R., Ming R., Weipeng S., shashank rao m. and Rama Krishna J.