In this course, you will delve into the groundbreaking intersection of AI and autonomous systems, including autonomous vehicles and robotics. “AI for Autonomous Vehicles and Robotics” offers a deep exploration of how machine learning (ML) algorithms and techniques are revolutionizing the field of autonomy, enabling vehicles and robots to perceive, learn, and make decisions in dynamic environments. Through a blend of theoretical insights and practical applications, you’ll gain a solid understanding of supervised and unsupervised learning, reinforcement learning, and deep learning. You will delve into ML techniques tailored for perception tasks, such as object detection, segmentation, and tracking, as well as decision-making and control in autonomous systems. You will also explore advanced topics in machine learning for autonomy, including predictive modeling, transfer learning, and domain adaptation. Real-world applications and case studies will provide insights into how machine learning is powering innovations in self-driving cars, drones, and industrial robots. By the course's end, you will be able to leverage ML techniques to advance autonomy in vehicles and robots, driving innovation and shaping the future of autonomous systems engineering.
AI for Autonomous Vehicles and Robotics
本课程是 AI for Mechanical Engineers 专项课程 的一部分
位教师：Wei Lu
3,656 人已注册
包含在 
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您将学到什么
Revise
您将获得的技能
- Generative AI
- Artificial Intelligence and Machine Learning (AI/ML)
- Image Analysis
- Machine Learning
- Reinforcement Learning
- Algorithms
- Computer Vision
- Machine Learning Algorithms
- Artificial Neural Networks
- Machine Learning Methods
- Deep Learning
- Machine Learning Software
- Statistical Machine Learning
- Automation
- Artificial Intelligence
要了解的详细信息
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3 项作业
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有3个模块
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.
涵盖的内容
2个视频4篇阅读材料1个作业
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.
涵盖的内容
2个视频2篇阅读材料1个作业1个非评分实验室
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.
涵盖的内容
3个视频6篇阅读材料1个作业1个非评分实验室
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位教师
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学生评论
38 条评论
- 5 stars
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- 4 stars
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- 3 stars
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已于 Aug 4, 2025审阅
Generally good. From Module 1 to 3, it is gradually getting more difficult and requiring more knowledge and concentration. Maybe it can be more technical oriental rather than conceptional.
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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