Brief Introduction
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.Course Summary
Get started in the exciting field of self-driving cars! Learn the basics of autonomous vehicle technology, including computer vision, decision-making, and localization, and launch your career in this rapidly growing field.Key Learning Points
- Understand the fundamentals of autonomous vehicle technology
- Develop skills in computer vision, decision-making, and localization
- Explore the latest trends in self-driving cars and their impact on society
Job Positions & Salaries of people who have taken this course might have
- Autonomous Vehicle Engineer
- USA: $96,000 - $190,000
- India: ₹1,757,000 - ₹3,472,000
- Spain: €30,000 - €60,000
- Software Engineer for Autonomous Systems
- USA: $96,000 - $190,000
- India: ₹1,757,000 - ₹3,472,000
- Spain: €30,000 - €60,000
- Autonomous Vehicle Perception Engineer
- USA: $96,000 - $190,000
- India: ₹1,757,000 - ₹3,472,000
- Spain: €30,000 - €60,000
Related Topics for further study
Learning Outcomes
- Understand the basics of autonomous vehicle technology
- Develop skills in computer vision, decision-making, and localization
- Gain knowledge on the latest trends in self-driving cars
Prerequisites or good to have knowledge before taking this course
- Python programming experience
- Familiarity with linear algebra and calculus
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Project-based
Similar Courses
- Self-Driving Car Engineer Nanodegree
- Machine Learning Engineer Nanodegree
Related Education Paths
Notable People in This Field
- Sebastian Thrun
- David Silver
- Chris Urmson
Related Books
Description
This introductory program is the perfect way to start your journey.Knowledge
- This program does not focus on job preparation. 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.
Outline
- 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! Work on self-driving car problems using Python, C++, matrices and calculus in code, and computer vision/machine learning.
Summary of User Reviews
This course on self-driving cars received positive reviews from many users. The course covers a wide range of topics and is well-structured. The course also provides hands-on experience which is a major plus point for many users.Key Aspect Users Liked About This Course
Hands-on experiencePros from User Reviews
- Hands-on experience
- Wide range of topics covered
- Well-structured course
- Good instructor support
- Excellent learning material
Cons from User Reviews
- Some users found the course to be too basic
- The course could be more challenging
- Course content could be more up-to-date
- Some users experienced technical issues
- Price of the course is high
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