Intro to Self-Driving Cars Training

In this program, you’ll sharpen your Python skills, apply C++, apply matrices and calculus in code, and touch on computer vision and machine learning. These concepts will be applied to solving self-driving car problems. At the end, you’ll be ready for our Self-Driving Car Engineer Nanodegree program.

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What is Intro to Self-Driving Cars Certification Training about?

Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.

While many of the skills you learn are foundational skills for a career in self-driving cars, the goal of the program is for you to master the core skills necessary so you can progress to the advanced curriculum. When you graduate, you can enroll in the Self-Driving Car Engineer Nanodegree program, which will fully prepare you for a career in the field. If you are new to the field of self-driving cars, you can consider this a two-stage path to career readiness.

What are the objectives of Intro to Self-Driving Cars Certification Training ?

Self-driving cars are the future of smart transportation, and this introductory program is the perfect way to start your journey to a self-driving car career. This program enables anyone with minimal programming experience to learn the essentials of programming a self-driving car, from machine learning to object-oriented programming to probabilistic robotics. You will learn how to solve problems in both Python and C++ as you discover what makes self-driving cars possible.

Who is Intro to Self-Driving Cars Certification Training for?

If you’re interested in self-driving cars, and already have a basic understanding of programming and algebra, then this program is right for you! If you’re considering a career in this amazing field, then this program will be your first step toward a self-driving car career.

What are the prerequisites for Intro to Self-Driving Cars Certification Training?

Some experience with programming.
Writing short scripts in any programming language and algebra is required.
Comfortable reading and modifying code with the understanding that solving problems in code may still be challenging.

Available Training Modes

Course Outline Expand All

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Bayesian Thinking

Joy Ride

2D Histogram Filter in Python

Working with Matrices

Implement a Matrix Class

C++ Basics

Translate Python to C++

Performance Programming in C++

Performant C++

Navigating Complex Data Structures

Planning an Optimal Path

Visualizing Calculus and Controls

Trajectory Visualizer

Machine Learning and Computer Vision

Image Classifier from Scratch

Who is the instructor for this training?

The trainer for this Intro to Self-Driving Cars Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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