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.
***Note: Parts of this course are featured in the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree programs. If you are interested in AI, be sure to check out those programs as well!***
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.
### 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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Ali completed this course, spending 30 hours a week on it and found the course difficulty to be very hard.
The problem is that the professors seem to talk to themselves. They throw many new concepts in a two minutes videos without explanation. This course is only good if you have the text book by Norvig and Russel. There you will find the desired details. The course sounds more like slides for introducing a textbook than a real course to introduce the concepts. Very confusing and discouraging to start artificial intelligence in that way.
Thomas Antonio completed this course, spending 4 hours a week on it and found the course difficulty to be easy.
This is one of the earliest online courses created, and its age shows. It is done using pen and paper example held to the camera, which can be hard to follow at times and also which limit the amount of complex work done.
The AI content covered is very high level. The course neither covers the mathematical theory, or the programming application of AI.
Anonymous completed this course.
My first experience with open courses. A rare chance to learn from the real masters -- Sebastian Thrun and Peter Norvig. Although, there were not much coding , the class was enjoyable and intellectually challenging.
Anonymous completed this course.
This class provided me with many new ideas and insights. I highly recommend it. I also enjoyed it a lot!
In this pendamic situation people are thinking to work from home and machine learning is perfect for all gaining knowledge.
Majok Stephen Nguen
Majok Stephen Nguen is taking this course right now, spending 1 hours a week on it and found the course difficulty to be very easy.
Thanks for the great course found online, am linking on perusing computer course online of my current ccourse is Procurement and Logistics management but want to learn more about the computer..