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Learn the Fundamentals of AI with Udacity

Overview
Provider

Udacity

Dates

Open on-going enrollment

Duration

4 months

Location

Online

Price_Front_Page

Free

Price

Free

Type

Online course

Language

English

Requirements

Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra. You should have understanding of probability theory comparable to that covered in our Intro to Statistics course.

Image Credits

Proftrack

Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science. In this course you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

Part I: Fundamentals of AI
– Overview of AI
– Statistics, Uncertainty, and Bayes networks
– Machine Learning
– Logic and Planning
– Markov Decision Processes and Reinforcement Learning
– Hidden Markov Models and Filters
– Adversarial and Advanced Planning

Part II: Applications of AI
– Image Processing and Computer Vision
– Robotics and robot motion planning
– Natural Language Processing and Information Retrieval

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