Building self-driving cars in Python from scratch

Target audience

Students who especially benefit from this course:

• developers who want to use their basic Python skills to program self-driving cars
• developers who want to understand Neural Networks and Genetic Algorithms by building them from the ground up

Training contents

• AI Introduction: Neural Networks and the Genetic Algorithm
• Car mechanics: Creating a window, drawing backgrounds and cars, controlling the car, Understanding track information
• Neural Network: Inputs, outputs, sensors, activation, feed forward
• Genetic Algorithm: Fitness, Chromosomes, Selection, Cross over and Mutation
• Challenges: Slipping cars, Store the car brain, Stay in the middle of the road and Test Drives

What can you do after this course?

• define what problems can be solved with Genetic Algorithms
• build Neural Networks and Genetic Algorithms from the ground up
• take any problem that can be solved with genetic algorithms and solve it by re-using the code you created in this course

Details