Key Information
About the content
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.
Prerequisites and 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.
Why Take This Course :
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.
Syllabus
LESSON 1
- Fundamentals of AI
- Statistics, Uncertainty, and Bayes networks.
- Machine learning.
- Logic and planning.
LESSON 2
- Applications of AI
- Image processing and computer vision.
- Robotics and robot motion planning.
- Natural language processing and information retrieval.
Instructors
Peter Norvig
Peter Norvig is Director of Research at Google Inc. He is also a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery. Norvig is co-author of the popular textbook Artificial Intelligence: A Modern Approach. Prior to joining Google he was the head of the Computation Sciences Division at NASA Ames Research Center.
Sebastian Thrun
Sebastian Thrun is a Research Professor of Computer Science at Stanford University, a Google Fellow, a member of the National Academy of Engineering and the German Academy of Sciences. Thrun is best known for his research in robotics and machine learning, specifically his work with self-driving cars.
Content Designer
Platform
Udacity is a for-profit educational organization founded by Sebastian Thrun, David Stavens, and Mike Sokolsky offering massive open online courses (MOOCs). According to Thrun, the origin of the name Udacity comes from the company's desire to be "audacious for you, the student". While it originally focused on offering university-style courses, it now focuses more on vocational courses for professionals.
Sadly it seems that most of the parts of the course are missing (YouTube videos). I've contacted their online support but I had no answer. Even it's free they should take care of the content as it's their first MOOC.
Most of the videos are missing and have been for about a year or more. The videos were previously all available on YouTube and were removed. You can download the videos from the course files but they are terrible quality, and you don't get access to the YouTube transcripts.
Sadly it seems that most of the parts of the course are missing (YouTube videos). I've contacted their online support but I had no answer. Even it's free they should take care of the content as it's their first MOOC.