The 7 best Robotics courses in 2026

Hello, everyone! Welcome to this course on Adding Electronics to Rapid Prototypes. This is part of the Rapid Prototyping and Tooling specialization. In this course, I’ll cover the basics of electric circuits, breadboards, and multimeters. I’ll then discuss different options for connecting electrical components as well as discuss different types of motors and actuators. Finally, I’ll end this course by discussing microcontrollers and how to use them to make even more sophisticated prototypes. By exploring both electrical simulations and many examples from different robotics projects I’ve had t

This course focuses on real-world applications of robotics across diverse domains and environments. Learners will explore how robotic systems operate in complex scenarios, including healthcare, extreme environments, and distributed systems. The course highlights the practical impact of robotics and its role in addressing societal challenges. This course is part of the "Robotics & Robots" Specialization. Contributors: Prof. Bruno Siciliano, University of Naples, Federico II Proff. Gianluca Antonelli, University of Cassino and Southern Lazio; Paolo Dario/Gastone Ciuti/Filippo Cavallo/Federico

Learners will analyze modern AI tools, evaluate intelligent automation workflows, and interpret how robotics and AI-driven systems operate in real-world environments. This course equips learners with the ability to apply cutting-edge AI platforms for content creation, data science, marketing, customer support, and productivity while also understanding how robots perceive, learn, and make decisions through AI and reinforcement learning. By completing this course, learners gain a dual benefit: practical skills to use today’s most powerful AI tools across creative, business, and technical domain

How can reinforcement learning scale beyond small tabular problems to high-dimensional environments such as games, robotics, and autonomous decision-making? This course introduces deep reinforcement learning, where reinforcement-learning algorithms are combined with neural-network-based function approximation. Learners begin by studying why tabular methods break down in large or continuous state spaces and how value functions, action-value functions, and policies can be represented by parameterized models. The course then develops value-based deep reinforcement learning methods, including fit

Advanced ROS 2 development is a critical skill for building intelligent, autonomous robotic systems in modern industries such as aerospace, manufacturing, and AI-driven automation. This course focuses on integrating ROS 2 with advanced domains like aerial robotics, machine learning, and deployment pipelines to create scalable and efficient robotic solutions. Through hands-on projects and practical workflows, you will learn how to design, program, and deploy robotic systems using ROS 2. From building a DIY mobile robot to implementing CI/CD pipelines and integrating large language models, this

Computer vision, sensor fusion, and control for autonomous vehicles.

Northwestern's specialization on robot kinematics, dynamics, motion planning, and control.