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Udacity offers 36 college-level, free, online courses, and attracts hundreds of thousands of students worldwide. Still essentially a computer science learning site, it has expanded to business, design, math, and sciences. It uses short videos, practices, problem sets, and assignments. Students may obtain a certificate, and may opt to pay for credit.
This course aims to:
- Introduce Udacity's high-quality course choices (still mostly in Computer Science),
- Focus on a few courses as examples.
Dishes Chops Desserts References and More
- How? Sign up, take courses, track progress, earn certificates.
- For whom? Senior high school students, college students, professionals looking to upgrade your skills.
- Why? Interactive exercises, bite-size videos, expert instructors, real world examples, and active community.
Learn about how Udacity is different and how we can help you reach your goals. Courses are available for those in high school, college or for continuing education.
An example of a frequently asked question and answer:
What is a Udacity course like?
Udacity courses are highly interactive with activities, quizzes, and exercises interspersed between short videos and talks by instructors and industry experts. You can watch the videos and try the quizzes as many times as you like without any penalties. The quizzes are a tool to help you learn.
Usually after a lesson, there will be a problem set with exercises for you to check if you have learned the material in that lesson. Problem set completion may be included in the requirements for a certificate for the course. However, just like with the quizzes, you can try them as many times as you like without penalty.
Find the most frequently asked questions about Udacity and our courses. For help visit our page to learn more.
Browse Udacity's courses by categories and levels. There are currently 33 courses (Jan 2014) - few but of high quality:
- Computer science (23 courses),
- Math (5)
- Science (3)
- Business (1)
- Design (1)
Within the computer science courses, there are 2 beginner, 11 intermediate, and 5 advanced level courses.
Browse catalog of free online courses. Offering classes in computer science, math, business and science to help you reach your education goals.
This is a beginner's course on physics for anyone! See introductory video on this page.
Study physics abroad in Europe -- virtually! Learn the basics of physics on location in Italy, the Netherlands and the UK, by answering some of the discipline's major questions from over the last 2000 years.
Course Instructors: Andy Brown
After graduating from MIT in 2009, Andy spent two years teaching, traveling around the world, and biking across the United States. When he heard about Udacity, he abandoned his vagabond ways to share his passion for Physics and teaching with tens of thousands of incredible Udacity students.
Learn the fundamentals of physics online for free. This course will teach you basic physics concepts on an innovative platform. Happy Learning!
This is an intermediate computer science course. View the instructors' introduction video on this page.
Starting from the basics of how the web works, this class will walk you through everything you need to know to build your own blog application and scale it to support large numbers of users.
What Should I Know?
A moderate amount of programming and computer science experience is necessary for this course.
What Will I Learn?
In this project-based course your knowledge will be evaluated as you learn to build your own blog application! Learn everything Steve Huffman wished he would have known when he broke into the startup world.
Free website development class where you will create a website. Learn from experts in the field as you build your own blog application.
This is an advanced level course. You may watch the introductory video even if you do not sign up.
Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.
Lesson 1: Basics of probability
Lesson 2: Gaussians and continuous probability
Tracking other cars with Kalman filters
Lesson 3: Car localization with particle filters
Lesson 4: Planning and search
Determining where to drive with A* search
Lesson 5: Controls
Controlling steering and speeds with PID
Lesson 6: Putting it all together
Programming a self-driving car
In this AI class you'll learn how to program the major systems of a robotic car. Learn from the leader of the Google self-driving car.
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