Workshops
LinkedinLearning is an on-demand learning solution designed to help you gain new skills, access to U-M students and faulty is free. They have one-off videos and full courses, ranging from a few minutes to many hours of content.
Log into LinkedIn Learning using your umich credentials, then explore the options below for relevant skill-building in robotics.
— Artificial Intelligence & Generative AI
— Machine Learning
— Computer Vision
— Control Systems
Log into LinkedIn Learning using your umich credentials, then explore the options below for relevant skill-building in robotics.
— Artificial Intelligence & Generative AI
— Machine Learning
— Computer Vision
— Control Systems
Online Courses + MOOCs
- Robotics SpecializationUPENN — The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. [coursera]
- Introducing Robotics: Robotics & SocietyQUEENSLAND UNI OF TECHNOLOGY — This course is for anyone interested in discovering how our society currently uses robots and how we might use them to solve big challenges in the future. You don’t need any robotics knowledge or experience to join in this course. [futurelearn]
- Robotic Vision: Principles of VisionQUEENSLAND UNI OF TECHNOLOGY — Learn the basics of human and robot vision, the concept of perspective and the constituent parts of an image. [coursera]
- Machine LearningSTANFORD — This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). [coursera]
- Intro to Artificial IntelligenceIBM — In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. [coursera]
- Prompt Engineering for ChatGPTVANDERBILT — Learn how to apply prompt engineering to effectively work with large language models, like ChatGPT; how to use prompt patterns to tap into powerful capabilities within large language models; and how to create complex prompt-based applications for your life, business, or education. [coursera]
- Computer Vision BasicsU BUFFALO — By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. [coursera]
- First Principles of Computer VisionCOLUMBIA — Master the working principles of a digital camera and learn the fundamentals of imaging processing; Create a theory of feature detection and develop algorithms for extracting features from images; Explore novel methods for using visual cues (shading, defocus, etc.) to recover the 3D shape of an object from multiple images or viewpoints; Get exposed to fundamental perceptions tasks such as image segmentation, object tracking, and object recognition. [coursera]
- Machine LearningSTANFORD – Break into AI with Machine Learning. Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng. [coursera]
- Data Science: Machine LearningHARVARD — Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques. [edX]