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Artificial Intelligence Nanodegree
Udacity
Summary
Overview
Learn to write programs using the foundational AI algorithms powering everything from NASA’s Mars Rover to DeepMind’s AlphaGo Zero. You’ll master Beam Search and Random Hill Climbing, Bayes Networks and Hidden Markov Models, and more.
Course media
Description
Constraint Satisfaction Problems
Use constraint propagation and search to build an agent that reasons like a human would to efficiently solve any Sudoku puzzle.
Search, Optimization, and Planning
Build agents that can reason to achieve their goals using search and symbolic logic—like the NASA Mars rovers.
Adversarial Search
Extend classical search to adversarial domains, to build agents that make good decisions without any human intervention—such as the DeepMind AlphaGo agent.
Fundamentals of Probabilistic Graphical Models
Model real-world uncertainty through probability to perform pattern recognition.
Requirements
This program requires experience with linear algebra, statistics, and Python (including object-oriented programming).
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