Udacity - Programming a Robotic Car

his class, taught by one of the foremost experts in AI, will teach you basic methods in Artificial Intelligence, including: probabilistic inference, computer vision, machine learning, and planning, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.
You will get a chance to visit, via video, the leading research labs in the field, and meet the scientists and engineers who are building self-driving cars at Stanford and Google.
Prerequisites: The instructor will assume solid knowledge of programming, all programming will be in Python. Knowledge of probability and linear algebra will be helpful.

WEEK 1:
Basics of probability
Car localization with particle filters

WEEK 2:
Gaussians and continuous probability
Tracking other cars with Kalman filters

WEEK 3:
Image Processing and Machine Learning
Finding objects in sensor data

WEEK 4:
Planning and search
Determining where to drive with A* search
Finding optimal routes with dynamic programming

WEEK 5:
Controls
Controlling steering and speeds with PID

WEEK 6:
Putting it all together
Programming a self-driving car

WEEK 7:
Final Exam
Exam testing your knowledge