Course : Machine Learning & Self-Driving Cars: Bootcamp with Python
Free Udemy Coupon, Machine Learning
Introduction to Machine Learning and Self-Driving Cars
Interested in Machine Learning or Self-Driving Cars (i.e. Tesla)? Then this Free Udemy Coupon course is for you! This course has been designed by a professional Data Scientist, expert in Autonomous Vehicles, with the goal of sharing my knowledge and help you understand how Self-Driving Cars work in a simple way.
Each topic is presented at three levels:
The topic will be presented, allowing you to gain initial intuition about it.
Practical lectures where we will learn by doing. This hands-on approach will help you apply the concepts learned in real-world scenarios.
Deep Dive (Optional)
We will go deep into the math behind the topic to fully understand it. This optional section is for those who want to gain a deeper knowledge of the subject.
Tools Used in the Course
Python: Probably the most versatile programming language in the world, from websites to Deep Neural Networks, all can be done in Python.
Python libraries: matplotlib, OpenCV, numpy, scikit-learn, keras, … (those libraries make the possibilities of Python limitless).
Webots: A very powerful simulator, which is free and open source but can provide a wide range of simulation scenarios (Self-Driving Cars, drones, quadrupeds, robotic arms, production lines, …).
Who is This Course For?
This course is suitable for individuals with different levels of expertise:
There is no previous knowledge required to enroll in this course. There is a section that will teach you how to program in Python.
High-school level is enough to understand everything covered in this course.
The Free Udemy Coupon: Machine Learning course is divided into the following sections:
[Optional] Python sections
This section covers how to program in python, and how to use essential libraries.
This section teaches a computer how to see and introduces key concepts for Neural Networks.
This section covers the introduction, key concepts, and road sign classification in Machine Learning.
In this section, we understand how radar and lidar sensors are used for self-driving cars and learn how to use them for collision avoidance and path planning. We also explore the difference between Tesla and other car manufacturers when it comes to the use of radar sensors.
We will use all the concepts covered in the Computer Vision, Machine Learning, and Collision Avoidance sections to delve into deep learning. This includes an introduction to neural networks and Behavioral Cloning.
Control systems are the glue that stitches all engineering fields together. In this section, we explore control theory and its application in self-driving cars.
About the Instructor
Who am I, and why am I qualified to talk about Self-driving cars? My qualifications include:
- Worked in self-driving motorbikes, boats, and cars
- Worked with some of the biggest companies in the world
- Over 8 years of experience in the industry and a master’s degree in Robotics & Computer Vision
- I have always been interested in efficient learning and used all the techniques that I’ve learned in this course