AI for Autonomous Vehicles and Robotics

Instructor: Wei Lu

Intermediate Level • 6 hours to complete 3 weeks at 2 hours a week • Flexible Schedule

What You'll Learn

Revise

Skills You'll Gain

Image Analysis
Artificial Neural Networks
Artificial Intelligence and Machine Learning (AI/ML)
Statistical Machine Learning
Automation
Reinforcement Learning
Machine Learning Algorithms
Algorithms
Machine Learning
Deep Learning
Artificial Intelligence
Computer Vision
Machine Learning Methods

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

                    
                                Learn new concepts from industry experts
                            
                                Gain a foundational understanding of a subject or tool
                            
                                Develop job-relevant skills with hands-on projects
                            
                                Earn a shareable career certificate

There are 3 modules in this course

In the first module, we describe several types of robotics and explain key technologies for self-driving cars. We will also explain the application of AI in autonomous systems.

In Module 2, we will review various types of algorithms that are used in robotics and self-driving cars and explain in more detail the principles and functions of key algorithms. We will also examine the applications of algorithms such as reinforcement learning and object detection techniques.

In the third Module, we will discuss the following concepts related to robotics: motion planning, perception, and learning. For self-driving cars, we will examine state estimation, localization, and visual perception. Finally, we review the applications of key algorithms such as object detection techniques.