The field of robotics is rapidly expanding, driven by advancements in artificial intelligence, automation, and machine learning. Robotics courses provide invaluable insights into these technologies, equipping learners with the necessary skills to excel in this innovative sector. This article will delve into some of the top robotics courses offered by prestigious institutions and online platforms, covering their core components, the skills they teach, and their relevance in today’s tech-driven world.
Duration: 3 months
Learning Format: Online
Skills Covered: Motion Planning, Particle Filter, Matlab
Fees: Not Available
Source: Coursera
The Robotics Specialization from the University of Pennsylvania, available on Coursera, provides a comprehensive overview of the key aspects of robotics. This course focuses on motion planning, a critical component in the development of robots that can navigate complex environments. Learners are introduced to the particle filter algorithm, which is essential for understanding how robots interpret and map their surroundings. Additionally, Matlab is used extensively in this course, allowing students to simulate and analyze robotic behaviors. This specialization is ideal for those looking to gain a deep understanding of the theoretical and practical aspects of robotics.
Duration: 4 months
Learning Format: Online
Skills Covered: Robot Motion, Robot Kinematics, Robot Dynamics, Robot Motion Planning and Control, Robot Manipulation, Mobile Robots
Fees: Not Available
Source: Coursera
Northwestern University’s Modern Robotics Specialization is a detailed course that covers the mechanical, planning, and control aspects of robotics. It introduces learners to robot kinematics and dynamics, crucial for understanding how robots move and interact with their environment. The course also delves into robot manipulation and mobile robots, focusing on their design and control. This specialization is perfect for individuals who want to explore the intricacies of robotics mechanics and control systems, making it a valuable resource for aspiring robotic engineers.
Duration: 8 hours
Learning Format: Online
Skills Covered: Generative AI, AI Ethics, Natural Language Processing, Machine Learning, Artificial Intelligence
Fees: Not Available
Source: Coursera
IBM's Introduction to Artificial Intelligence course on Coursera is an excellent starting point for those new to AI. The course covers the basics of AI, including generative AI, AI ethics, natural language processing (NLP), and machine learning. Learners gain insights into how AI is integrated into robotics to enhance functionality and decision-making processes. The course is designed to be accessible, making it suitable for beginners who want to understand the foundational principles of AI and its applications in robotics.
Duration: 1 month
Learning Format: Online
Skills Covered: Error Handling Approach & Activities, Loops in Studio, Control Flow Activities, Flowcharts and Decision Making, Sequences, Asset, UiPath Orchestrator, Orchestrator User Interface, Queues
Fees: Not Available
Source: Coursera
UiPath's Robotic Process Automation (RPA) Specialization offers a deep dive into automating repetitive tasks using RPA tools. This course is particularly relevant for professionals looking to streamline operations and increase efficiency through automation. It covers the key aspects of UiPath Studio, including error handling, control flow activities, and the use of the UiPath Orchestrator. The course is well-suited for those interested in integrating RPA into business processes, making it a valuable resource for both IT professionals and business managers.
Duration: 24 hours
Learning Format: Online
Skills Covered: Modern Robotics, Configuration Space
Fees: Not Available
Source: Coursera
The first course in Northwestern University’s Modern Robotics series, Foundations of Robot Motion, focuses on the basics of how robots move. This course introduces learners to configuration space, a fundamental concept in robotics that describes the set of possible positions and orientations of a robot. Understanding configuration space is essential for solving motion planning problems, making this course a critical foundation for anyone looking to specialize in robotics.
Duration: 18 hours
Learning Format: Online
Skills Covered: Forward Kinematics, Velocity Kinematics, Statics, Inverse Kinematics
Fees: Not Available
Source: Coursera
The second course in the Modern Robotics series, Robot Kinematics, builds on the concepts introduced in the first course. It covers forward and inverse kinematics, velocity kinematics, and statics. These topics are essential for understanding how robots move their joints and limbs to achieve desired positions and velocities. This course is particularly valuable for those interested in the mathematical and algorithmic aspects of robotics.
Duration: 21 hours
Learning Format: Online
Skills Covered: Dynamics of Open Chains, Trajectory Generation
Fees: Not Available
Source: Coursera
Robot Dynamics, the third course in the Modern Robotics series, focuses on the dynamics of robots, particularly open chains, and trajectory generation. This course is crucial for understanding the forces and torques that act on a robot and how these affect its movement. Trajectory generation is another key topic, involving the planning of paths that a robot should follow to move efficiently and accurately. This course is ideal for those looking to delve deeper into the physics of robotics.
Duration: 31 hours
Learning Format: Online
Skills Covered: Motion Planning, Robot Control
Fees: Not Available
Source: Coursera
The fourth course in the Modern Robotics series, Robot Motion Planning and Control, explores advanced topics in motion planning and control strategies. This course is essential for understanding how robots plan their movements to avoid obstacles and achieve their goals. The control strategies taught in this course ensure that robots can execute these plans accurately. This course is ideal for those looking to specialize in robot motion planning and control systems.
Duration: 35 hours
Learning Format: Online
Skills Covered: Grasping and Manipulation, Wheeled Mobile Robots
Fees: Not Available
Source: Coursera
The final course in Northwestern University’s Modern Robotics series, Robot Manipulation and Wheeled Mobile Robots, covers the design and control of robotic arms (manipulators) and mobile robots. This course is particularly relevant for those interested in industrial robotics and mobile robot applications. Learners will explore the challenges of grasping objects and the dynamics of wheeled mobile robots, making it a comprehensive course for anyone looking to work in these areas.
Duration: 1 hour
Learning Format: Online
Skills Covered: Robotics Challenges, AWS, Robot Development, Robotics Workload, Next-Generation Robotics
Fees: Not Available
Source: Coursera
AWS’s Introduction to Robotics course is a concise introduction to robotics and its application in cloud computing environments. The course covers the basics of robotics challenges and development on AWS, focusing on how cloud computing can support the development and deployment of robotic systems. This course is ideal for those interested in the intersection of robotics and cloud computing, particularly for developing next-generation robotics applications.
Duration: 3 weeks
Learning Format: Online
Skills Covered: Lean Tools Proficiency, Problem-Solving Strategies, Critical Analysis, Robotics Integration, Automation Application
Fees: Not Available
Source: Coursera
This course, Lean Manufacturing & Robotics for Flexible Systems, focuses on the integration of lean manufacturing principles with robotics. It covers essential lean tools and techniques, problem-solving strategies, and the application of robotics in flexible manufacturing systems. This course is particularly relevant for professionals in manufacturing and production who are looking to enhance efficiency and flexibility through automation.
Duration: 18 hours
Learning Format: Online
Skills Covered: Motion Planning, Robotics, Quadcopter, Matlab
Fees: Not Available
Source: Coursera
Aerial Robotics is a specialized course offered by the University of Pennsylvania, focusing on the design, dynamics, and control of quadcopters. This course is ideal for those interested in the growing field of drone technology. It covers the basics of motion planning and the use of Matlab for simulating and controlling quadcopter dynamics. Learners will gain practical skills in designing and operating aerial robots, making this course a valuable resource for drone enthusiasts and professionals.
Duration: 1 month
Learning Format: Online
Skills Covered: Fluid System Design for Automation, Drive System Design, Standards & Codes, Sensor & Transducer Technology, Smart Factory Automation, Simulation using MATLAB Simulink, IIoT in Mechatronics Systems
Fees: Not Available
Source: Coursera
The Collaborative Robotics in Industry Specialization, offered by L&T EduTech, focuses on the application of robotics in industrial environments. This course covers the design and integration of fluid and drive systems for automation, the use of sensors and transducers, and the application of smart factory automation techniques. Learners will also explore the role of the Industrial Internet of Things (IIoT) in mechatronics systems, making this course particularly valuable for professionals in industrial automation and robotics.
Duration: 9 hours
Learning Format: Online
Skills Covered: Robotic Gripper Design, Simulation using MATLAB-Simulink, Troubleshooting in Mechatronic Systems, Interfacing of Mechanical Components with Digital Control Circuitry, Robotic Manipulator Design, Sensor & Transducer Technology
Fees: Not Available
Source: Coursera
This course, Fundamentals of Robotics & Industrial Automation, provides a foundational understanding of robotics and industrial automation. It covers the design and simulation of robotic grippers, troubleshooting mechatronic systems, and the interfacing of mechanical components with digital control systems. This course is ideal for engineers and technicians looking to build a strong foundation in robotics and automation technologies.
Duration: 19 hours
Learning Format: Online
Skills Covered: Serial Line Internet Protocol (SLIP), Robotics, Robot, Matlab
Fees: Not Available
Source: Coursera
The Robotics: Mobility course from the University of Pennsylvania focuses on the design and control of mobile robots. It covers topics such as the Serial Line Internet Protocol (SLIP) and the use of Matlab for simulating robotic mobility. This course is particularly relevant for those interested in the development of mobile robots that can navigate and operate in dynamic environments.
Duration: 15 hours
Learning Format: Online
Skills Covered: Particle Filter, Estimation, Mapping
Fees: Not Available
Source: Coursera
The Robotics: Estimation and Learning course, also offered by the University of Pennsylvania, delves into the estimation and mapping techniques used in robotics. The course covers the particle filter algorithm, which is crucial for understanding how robots estimate their position and map their surroundings. This course is ideal for those interested in the intersection of robotics and machine learning, particularly in the context of autonomous navigation.
Duration: 26 hours
Learning Format: Online
Skills Covered: Python Programming, Robotics, Raspberry Pi, Matlab
Fees: Not Available
Source: Coursera
The Robotics: Capstone course is the culminating project of the University of Pennsylvania’s Robotics Specialization. In this course, learners apply the knowledge and skills acquired in previous courses to a comprehensive robotics project. The course emphasizes Python programming, the use of Raspberry Pi, and Matlab for simulating and controlling robotic systems. This capstone project is ideal for those looking to demonstrate their proficiency in robotics through a hands-on project.
Duration: 11 hours
Learning Format: Online
Skills Covered: Motion Planning, Automated Planning and Scheduling, A* Search Algorithm, Matlab
Fees: Not Available
Source: Coursera
The Computational Motion Planning course focuses on the algorithms and techniques used in robotic motion planning. Learners will explore automated planning and scheduling, as well as the A* search algorithm, a popular method for finding the shortest path in a graph. The course also covers the use of Matlab for simulating and implementing motion planning algorithms. This course is ideal for those interested in the computational aspects of robotics.
Duration: 3 weeks
Learning Format: Online
Skills Covered: Robotics, Career Development
Fees: Not Available
Source: Coursera
The How to Get Into Robotics course offered by the University of Leeds is designed for individuals who are new to the field and want to explore career opportunities in robotics. The course covers the basics of robotics and guides how to pursue a career in this rapidly growing industry. It is an excellent starting point for anyone considering a transition into the robotics field.
Duration: 3 weeks
Learning Format: Online
Skills Covered: Robots, Cobots, Safety-Minded Design, Collaborative Workcells
Fees: Not Available
Source: Coursera
The Collaborative Robot Safety course, offered by the University at Buffalo, focuses on the safety aspects of designing and deploying collaborative robots (cobots). The course covers safety-minded design principles, the creation of collaborative work cells, and the integration of cobots into industrial environments. This course is essential for those involved in the design and deployment of collaborative robots, ensuring that safety is prioritized in all aspects of robotic integration.
Duration: 1 hour
Learning Format: Online
Skills Covered: Artificial Intelligence (AI), Particle Filter, Robotics, Numpy, Localization
Fees: Not Available
Source: Coursera
This course on Robot Localization with Python and Particle Filters is a quick yet powerful introduction to the use of particle filters in the context of robot localization. Learners will gain hands-on experience using Python and Numpy to implement particle filter algorithms, which are crucial for enabling robots to understand and navigate their environment. This short course is perfect for those who want to get a practical introduction to AI techniques used in robotics, with a focus on localization
Duration: 42 hours
Learning Format: Online
Skills Covered: Motion Planning, Behavior Tree, Python Programming, Mobile Manipulation, Webots
Fees: Not Available
Source: Coursera
The Robotic Path Planning and Task Execution course by the University of Colorado Boulder offers an in-depth exploration of how robots plan paths and execute tasks in real-world environments. This course covers advanced topics such as behavior trees, mobile manipulation, and the use of Python for programming robots. Learners also get to work with Webots, a professional-grade robot simulation software. This course is highly recommended for those who want to understand the complexities of robotic path planning and task execution.
Duration: 13 hours
Learning Format: Online
Skills Covered: Robotics, Automotive Mechatronics, IoT Applications, Electric Vehicles
Fees: Not Available
Source: Coursera
This course on CPS Design for Mechatronics, Healthcare, EV, & Robotics, provided by L&T EduTech, focuses on the design of cyber-physical systems (CPS) for various applications, including healthcare, electric vehicles (EVs), and robotics. Learners will explore the intersection of robotics with IoT and mechatronics, making this course particularly relevant for those interested in multidisciplinary fields. This course is ideal for professionals looking to innovate at the crossroads of robotics, healthcare, and automotive technologies.
Duration: 33 hours
Learning Format: Online
Skills Covered: Computer Vision, Estimation, Random Sample Consensus (RANSAC), Geometry
Fees: Not Available
Source: Coursera
The Robotics: Perception course is part of the University of Pennsylvania’s Robotics Specialization and focuses on how robots perceive the world around them. This course covers essential concepts in computer vision, such as the RANSAC algorithm, which is used for estimating the parameters of a mathematical model from a set of observed data. The course also delves into geometric methods for understanding the spatial relationships between objects. It is ideal for learners who are interested in enhancing their understanding of robot perception and computer vision.
Duration: 25 hours
Learning Format: Online
Skills Covered: Robotic Mapping, Python Programming, Linear Algebra, Webots, Robotic Control
Fees: Not Available
Source: Coursera
Robotic Mapping and Trajectory Generation is a comprehensive course that focuses on the challenges of mapping environments and generating trajectories for robots to follow. This course teaches learners how to use Python and Webots to develop and simulate robotic systems that can accurately map their surroundings and plan efficient paths. The course is particularly useful for those interested in robotics applications that require precise navigation and control, such as autonomous vehicles and drones.
Duration: 3 months
Learning Format: Online
Skills Covered: Design, Computer Science, Computer Programming, Behavior Tree, Algorithms, Robotics, Behavior-Based Robotics (BBAI), 3D Simulation, Planning, Linear Algebra, Engineering
Fees: Not Available
Source: Coursera
The Introduction to Robotics with Webots Specialization is a 3-month program that provides a thorough introduction to robotics using Webots, a professional robot simulation software. This course covers a wide range of topics, including behavior-based robotics, 3D simulation, and the use of algorithms in robotic design and control. Learners will also explore the principles of computer science and engineering that underpin robotic systems. This specialization is ideal for anyone looking to gain practical experience in robotic simulation and design.
Duration: 4 months
Learning Format: Online
Skills Covered: Barrier Certificates, Linear Temporal Logic (LTL), Model Checking, Verification Techniques, Controller Synthesis, Linear Temporal Logic, Safety Analysis, Reachability Analysis, Lyapunov Theories, Formal Modeling Frameworks, Autonomous Systems Design
Fees: Not Available
Source: Coursera
The Foundations of Autonomous Systems Specialization focuses on the design and analysis of autonomous systems, covering key topics such as barrier certificates, linear temporal logic (LTL), and model checking. Learners will also delve into verification techniques, controller synthesis, and safety analysis. This course is ideal for those interested in the theoretical foundations of autonomous systems, as well as the practical applications of these systems in areas such as autonomous vehicles and robotics.
Duration: 3 months
Learning Format: Online
Skills Covered: Gazebo, Environment Modeling, ROS Nodes, Robot Operating System, Gaussian Distribution, Particle Filters, Kalman Filters, Extended Kalman Filters, ROS Adaptive MCL Package, Object Localization, Bayes' Filter for Localization, Monte Carlo Localization, ROS EKF Package, Occupancy Grid Mapping Algorithm, Environment Mapping, FastSLAM, GraphSLAM, SLAM, Turtlebot, Gmapping ROS Package, Automated Path Planning, Sample-Based Path Planning, Probabilistic Path Planning, Breadth-First Search, A* Search Algorithm, Search Algorithms in C++
Fees: Not Available
Source: Udacity
Udacity’s Robotics Software Engineer program is a highly specialized course that provides learners with the skills needed to develop and implement software for robotics systems. The course covers a wide range of topics, including environment modeling, ROS nodes, and various localization techniques such as particle filters and Kalman filters. Learners will also explore SLAM (Simultaneous Localization and Mapping), path planning algorithms, and search algorithms in C++. This course is perfect for software engineers and developers looking to transition into the field of robotics.
Duration: 4 weeks
Learning Format: Online
Skills Covered: Device Drivers, Motors, Sensor Calibration, Embedded System Communication Protocol Basics, Sensors, I2C
Fees: Not Available
Source: Udacity
Robotics and Embedded Systems, offered by Udacity, is a concise course focused on the intersection of robotics and embedded systems. Learners will gain insights into device drivers, motor control, sensor calibration, and communication protocols like I2C. This course is particularly useful for those interested in designing and developing embedded systems for robotics applications, where precise control and communication between components are crucial.
Duration: 4 weeks
Learning Format: Online
Skills Covered: Actuators, Analog Device Control, Motors, Encoders, Serial Terminal Processing
Fees: Not Available
Source: Udacity
Udacity's Introduction to Robotics course is designed for beginners who are new to the field. The course covers the basics of robotics, including actuators, motor control, encoders, and analog device control. Learners will also explore serial terminal processing, which is essential for debugging and controlling robotic systems. This course provides a solid foundation for those looking to start their journey in robotics, with a focus on the fundamental components and their operations.
Duration: 7 hours
Learning Format: Online
Skills Covered: Circuits, Digital Logic, Computer Architecture, Embedded Systems, Autonomous Systems
Fees: Not Available
Source: Udacity
The Embedded Systems and Robotics Fluency course by Udacity is a short yet comprehensive course that covers the essential concepts of embedded systems and their applications in robotics. Learners will gain an understanding of circuits, digital logic, computer architecture, and the integration of these components into autonomous systems. This course is ideal for those interested in the hardware aspects of robotics and how embedded systems play a crucial role in their functionality.
Duration: 2 weeks
Learning Format: Online
Skills Covered: Intelligent Robot, Industrial Robotics, Autonomous Vehicles, Robotics
Fees: Not Available
Source: Future Learn
The How to Get Into Robotics course offered by the University of Leeds on Future Learn is a short program designed for those considering a career in robotics. The course provides an overview of intelligent robots, industrial robotics, and autonomous vehicles, offering insights into the various career paths available in the robotics industry. This course is particularly useful for beginners who want to understand the opportunities and challenges of pursuing a career in robotics.
Duration: 4 weeks
Learning Format: Online
Skills Covered: Robots, Motors, Sensors, Actuators, Automation, Haptic Technologies, Virtual Reality
Fees: Not Available
Source: Future Learn
The Begin Robotics course from the University of Reading provides an introduction to robotics, focusing on the components that make up robotic systems, such as motors, sensors, and actuators. The course also explores automation, haptic technologies, and virtual reality, offering a broad overview of the field. This course is ideal for those new to robotics who want to understand the basic building blocks of robotic systems.
Duration: 3 weeks
Learning Format: Online
Skills Covered: Autonomous Systems, Robotic Design, Potential Real-Life Robotics Applications
Fees: Not Available
Source: Future Learn
Building a Future with Robots, offered by the University of Sheffield, explores the future of robotics and its potential applications in various industries. The course covers the design of autonomous systems and their real-life applications, providing learners with insights into how robots will shape the future. This course is ideal for those interested in the long-term impact of robotics on society and industry.
Duration: 2 weeks
Learning Format: Online
Skills Covered: AI and Robotics in Healthcare, Human-Robot Interaction, Regulatory Bodies, Frameworks
Fees: Not Available
Source: Future Learn
The MedTech: AI and Medical Robots course offered by the University of Leeds focuses on the application of AI and robotics in healthcare. This course covers human-robot interaction, the role of regulatory bodies, and the frameworks governing the use of medical robots. It is particularly relevant for those interested in the intersection of healthcare and robotics, exploring how technology can improve patient care and medical outcomes.
Duration: 3 weeks
Learning Format: Online
Skills Covered: Ubuntu, ROS Framework, Gazebo Simulator, 3D Models
Fees: Not Available
Source: Future Learn
Introduction to Tools for Robotics, offered by Lulea University of Technology, introduces learners to the essential tools and frameworks used in robotics, such as Ubuntu, the ROS (Robot Operating System) framework, and the Gazebo simulator. The course also covers the creation and use of 3D models in robotic simulations. This course is ideal for those who want to gain practical skills in using the tools and technologies that are commonly employed in the development of robotic systems.
Duration: 2 weeks
Learning Format: Online
Skills Covered: 2D and 3D Perception Concepts, Object Detection
Fees: Not Available
Source: Future Learn
This course from Lulea University of Technology, Introduction to Application of Robotic Tools, focuses on the application of tools for robotic perception, particularly in 2D and 3D environments. The course covers object detection and other perception concepts essential for developing robots that can interact with their surroundings. This course is suitable for those interested in the practical applications of robotic tools, particularly in the fields of computer vision and autonomous systems.
Duration: 48 hours
Learning Format: Online
Skills Covered: Robotic Process Automation, RPA Solutions, Capturing and Interpreting Existing Applications, Windows Desktop RPA Software UiPath, Text and Image Automation with RPA
Fees: Not Available
Source: IntelliPaat
IntelliPaat’s RPA Training Certification Course offers comprehensive training in robotic process automation using UiPath. This course covers key aspects of RPA, including capturing and interpreting existing applications, text and image automation, and the use of UiPath for Windows desktop automation. The course is designed for professionals who want to develop expertise in RPA, making it a valuable resource for those looking to implement automation solutions in their organizations.
Duration: 8 weeks
Learning Format: Online
Skills Covered: Engineering Statics, Control Engineering, Inverse Kinematics, Kinematics, Electronics, Mechanics, Signal Processing, Industrial Robotics, Algorithms, Robotic Systems, Simulations, Robotics, Mathematical Modeling
Fees: INR 4,606
Source: Edx
The Robotics Foundations I course from Universita degli Studi di Napoli Federico II, available on Edx, focuses on the fundamentals of robot modeling. The course covers topics such as engineering statics, control engineering, kinematics, and inverse kinematics, which are essential for understanding and designing robotic systems. Learners will also explore signal processing and industrial robotics, making this course ideal for those interested in the foundational principles of robotics engineering.
Duration: 15 weeks
Learning Format: Online
Skills Covered: Motion Planning, Algorithms, Localization, Kinematics
Fees: INR 4,187
Source: Edx
ETHx’s course on Autonomous Mobile Robots provides an in-depth look at the principles of motion planning, algorithms, and localization. This course covers the kinematics of mobile robots, which is essential for understanding how these systems move and interact with their environment. Learners will gain practical knowledge in developing autonomous mobile robots, making this course ideal for those interested in robotics applications such as self-driving cars and unmanned aerial vehicles (UAVs).
Duration: 16 weeks
Learning Format: Online
Skills Covered: Mechatronics, Atlassian Confluence, Actuators, Embedded Systems, Prototyping
Fees: INR 12,474
Source: Edx
The Mechatronics Revolution: Fundamentals and Core Concepts, offered by Georgia Tech through Edx, is a comprehensive course that delves into the interdisciplinary field of mechatronics. This course covers essential topics such as actuators, embedded systems, and prototyping, making it ideal for those interested in the integration of mechanical, electronic, and software engineering in the development of complex systems. The course also includes practical sessions where learners can apply their knowledge to real-world projects, making it highly relevant for those pursuing careers in robotics, automation, or advanced manufacturing.
Duration: 8 weeks
Learning Format: Online
Skills Covered: KUKA|prc Parametric Robot Control Software, Rhino, Grasshopper Interface, Digital Modeling, Digital Environment, Visualization, Animation
Fees: INR 8,288
Source: Edx
RWTH Aachen University's Introduction to Robotic Programming course provides a hands-on approach to learning robotic programming. The course introduces learners to KUKA|prc parametric robot control software, which is widely used in industrial robotics. Additionally, learners will gain proficiency in using the Rhino and Grasshopper interface for digital modeling, which is essential for designing and simulating robotic systems. This course is perfect for those who want to develop practical skills in robotic programming and digital design.
Duration: 4 weeks
Learning Format: Online
Skills Covered: Algorithms, Mechanical Engineering, 3D Reconstruction, Odometry, Code Snippets, Geometry, Computer Science, Electrical Engineering, Research, SLAM Algorithms (Simultaneous Localization And Mapping)
Fees: Not Available
Source: Edx
The Autonomous Navigation for Flying Robots course, offered by the Technical University of Munich, focuses on the algorithms and technologies required for the autonomous navigation of drones and other flying robots. This course covers essential topics such as 3D reconstruction, odometry, SLAM algorithms, and the integration of mechanical and electrical engineering principles in the design of flying robots. Learners will gain a deep understanding of the challenges involved in autonomous navigation, making this course particularly valuable for those interested in UAVs and aerospace robotics.
Duration: 10 weeks
Learning Format: Online
Skills Covered: Robot Operating Systems, Ubuntu (Operating System), Building Science
Fees: INR 20,846
Source: Edx
Columbia University's Robotics course on Edx provides an in-depth exploration of robotics with a focus on robot operating systems (ROS) and Ubuntu. The course also covers building science, offering insights into the design and construction of robotic systems. This course is ideal for learners who want to develop a strong foundation in robotics, particularly in the software and operating systems that power modern robots. It is also well-suited for those interested in robotics applications in construction and infrastructure.
Duration: 7 weeks
Learning Format: Online
Skills Covered: Physics, Robot Operating Systems, Ubuntu (Operating System), Industrial Production, Open-Source Software, Robotic Systems, Advanced Robotics
Fees: INR 11,637
Source: Edx
Delft University of Technology’s course on the Fundamentals of ROS (Robot Operating System) is a specialized course that teaches learners how to work with ROS, one of the most widely used frameworks in robotics. The course covers the use of ROS in various applications, from industrial production to advanced robotics, and includes practical sessions on open-source software development. This course is particularly valuable for engineers and developers who want to specialize in robotics software and control systems.
Duration: 12 weeks
Learning Format: Online
Skills Covered: Kinematics, MATLAB, Motion Planning, Robotic Systems, Planning, Software Modules, Trajectory
Fees: INR 29,218
Source: Edx
The Robotics: Dynamics and Control course offered by the University of Pennsylvania on Edx provides a detailed exploration of the dynamics and control of robotic systems. Learners will gain insights into kinematics, motion planning, and the use of MATLAB for simulating and controlling robotic movements. This course is ideal for those interested in the mechanical and control aspects of robotics, particularly in applications that require precise trajectory planning and execution.
Duration: 7 weeks
Learning Format: Online
Skills Covered: Non-verbal communication, Research
Fees: INR 25,869
Source: Edx
The Introduction to Human-Robot Interaction course, offered by the University of Canterbury on Edx, focuses on the communication and interaction between humans and robots. The course covers non-verbal communication and other essential aspects of human-robot interaction, providing learners with the skills needed to design robots that can effectively interact with humans. This course is particularly relevant for those interested in the social aspects of robotics and the development of robots that can operate in human environments.
Duration: 12 weeks
Learning Format: Online
Skills Covered: Mathematical Modeling, Control Engineering, Trajectory Planning, Electronics, Coupling, Feedback Control, Mechanics, Signal Processing, Planning, Localization, Industrial Robotics, Robotics, Motion Control Systems
Fees: INR 4,604
Source: Edx
Robotics Foundation II - Robot Control, provided by Universita degli Studi di Napoli Federico II on Edx, is a continuation of the foundational series in robotics. This course focuses on the control of robotic systems, covering mathematical modeling, control engineering, and trajectory planning. Learners will also explore the electronics and feedback control mechanisms that are crucial for the precise operation of robots. This course is ideal for those looking to specialize in the control aspects of robotics, particularly in industrial and research settings.
Duration: 6 weeks
Learning Format: Online
Skills Covered: Developmental Psychology, Computer Science, Anthropology, Psychology, Cognitive Robotics, Cognitive Processing
Fees: INR 4,604
Source: Edx
The Robot Development course from Universita degli Studi di Napoli Federico II on Edx offers an interdisciplinary approach to understanding the development of robots. This course covers topics such as developmental psychology, cognitive robotics, and cognitive processing, making it particularly relevant for those interested in the cognitive and psychological aspects of robotics. Learners will also explore the intersection of computer science and anthropology in the development of socially intelligent robots.
Duration: 4 weeks
Learning Format: Online
Skills Covered: Cognitive Science, Cognitive Neuroscience, Integration, Biology, Neuroscience, Psychology
Fees: Not Available
Source: Edx
Osaka University's Cognitive Neuroscience Robotics – Part A course on Edx explores the intersection of cognitive science and robotics. This course focuses on how principles of cognitive neuroscience can be applied to the design and development of intelligent robots. Topics include cognitive science, integration, and the biological underpinnings of cognition, making this course ideal for those interested in the cognitive aspects of robotics and how they can be integrated into robotic systems.
Duration: 12 weeks
Learning Format: Online
Skills Covered: OpenCV, Algorithms, Convolutional Neural Networks, Object Recognition, MATLAB, Localization, Perceptron, Machine Learning, Computer Vision
Fees: INR 29,218
Source: Edx
Robotics: Vision Intelligence and Machine Learning, offered by the University of Pennsylvania on Edx, delves into the integration of computer vision and machine learning in robotics. The course covers the use of OpenCV, convolutional neural networks, and algorithms for object recognition and localization. Learners will also explore the application of MATLAB for implementing these techniques. This course is perfect for those looking to specialize in vision-based robotics, where intelligent robots are equipped with the ability to perceive and interpret their environment.
Duration: 5 weeks
Learning Format: Online
Skills Covered: Mechanical Systems, Biological Engineering, Mechanical Engineering, Electrical Engineering
Fees: INR 13,311
Source: Edx
Stanford University's Introduction to Haptics course on Edx provides an in-depth exploration of haptic technology, which involves the interaction between humans and machines through touch. The course covers mechanical systems, biological engineering, and electrical engineering, offering a multidisciplinary approach to understanding how haptic feedback can be integrated into robotic systems. This course is particularly relevant for those interested in developing robots that can interact with humans in a tactile and intuitive manner.
Duration: 12 weeks
Learning Format: Online
Skills Covered: Derivatives, Operations, Basic Math, Kinematics
Fees: INR 29,218
Source: Edx
The Robotics: Kinematics and Mathematical Foundations course, offered by the University of Pennsylvania on Edx, focuses on the mathematical principles that underlie the movement and control of robots. Learners will study derivatives, operations, and basic mathematics as they relate to kinematics, which is essential for understanding how robots move. This course is ideal for those interested in the mathematical foundations of robotics, providing the necessary knowledge to tackle complex robotic design and control challenges.
Duration: 6 weeks
Learning Format: Online
Skills Covered: Artificial Intelligence, Product Innovation, Digital Transformation, New Product Development, Internet Of Things (IoT), Curiosity, Semiconductors, Market Trend
Fees: INR 8,288
Source: Edx
The Business Models for Technology Innovators course from Arm Education on Edx provides a comprehensive understanding of how to create and implement business models for technological innovations. The course covers artificial intelligence, product innovation, digital transformation, and the Internet of Things (IoT). This course is ideal for entrepreneurs and innovators who want to understand the market dynamics and business strategies necessary to successfully bring new robotics and AI products to market.
Duration: 14 weeks
Learning Format: Online
Skills Covered: C (Programming Language), Animations, Computer Simulation, Morphology, Go (Programming Language), Suspension (Vehicle), Differential Equations, MATLAB, Python (Programming Language), Motion Control Systems, Linear Algebra, Mechanics, Kinematics, Basic Math, Numerical Analysis, Simulations, Mechanical Systems
Fees: INR 11,637
Source: Edx
Université catholique de Louvain’s course on the Modeling and Simulation of Multibody Systems provides an in-depth look at the computational techniques used to model and simulate complex mechanical systems. This course covers a wide range of topics, including differential equations, MATLAB, Python programming, and numerical analysis. Learners will also explore the principles of kinematics and motion control, making this course ideal for those interested in the mechanical engineering aspects of robotics.
Duration: 3 weeks
Learning Format: Online
Skills Covered: Product Design, 3D Modeling, Keychain, Prototyping, Creativity, Troubleshooting (Problem-Solving), Additive Manufacturing (3D
Printing), New Product Development, Autodesk, TinkerCADFees: INR 4,102
Source: Edx
The 3D Printing Essentials course from the University of Alaska Fairbanks on Edx offers learners an introduction to the principles of 3D printing and additive manufacturing. The course covers product design, 3D modeling, and prototyping, using tools like Autodesk and TinkerCAD. Learners will also develop creativity and problem-solving skills, which are essential for bringing new products from concept to reality. This course is ideal for those interested in the application of 3D printing in robotics, product design, and manufacturing.
Duration: 12 weeks
Learning Format: Online
Skills Covered: Energetic, Actuators
Fees: INR 29,218
Source: Edx
The Robotics: Locomotion Engineering course from the University of Pennsylvania on Edx focuses on the engineering principles that enable robots to move effectively. This course covers the study of energetic actuators, which are essential for driving the movement of robotic limbs and wheels. Learners will also explore the dynamics of locomotion, making this course particularly relevant for those interested in the design and control of mobile robots, including legged and wheeled robots.
Universita degli Studi di Napoli Federico II’s Future Robots course on Edx takes a forward-looking approach to the development of robotics, focusing on the integration of digital data in future robotic systems. The course covers the role of digital data in driving innovation in robotics, making it ideal for those interested in the future trends and technologies that will shape the robotics industry. This course is particularly relevant for those looking to understand the impact of digital transformation on robotics.
Duration: 6 weeks
Learning Format: Online
Skills Covered: Interface Design, Design Elements, and Principles, User Interface Design, Psychology, User Experience Design (UX), Information Visualization, Cognitive Load Theory, Computer Science, Human Factors Engineering, Augmented Reality
Fees: INR 9,962
Source: Edx
The Human-Computer Interaction I: Fundamentals & Design Principles course from the Georgia Institute of Technology on Edx focuses on the design and evaluation of user interfaces for interactive systems, including robotic systems. The course covers fundamental principles of interface design, user experience design (UX), and information visualization. Learners will also explore cognitive load theory and human factors engineering, making this course ideal for those interested in designing intuitive and effective human-computer interfaces for robotic systems.
Duration: 15 hours
Learning Format: Online
Skills Covered: Robotics, Kinematics, DH Algorithm, Science, Engineering, Mechanical Engineering, Robotics, STEM
Fees: Not Available
Source: Alison
The Diploma in Robotics course, offered by Alison in partnership with NPTEL, provides a foundational understanding of robotics, with a focus on kinematics and the Denavit-Hartenberg (DH) algorithm. This course is suitable for those interested in the basics of robotics and its applications in science, engineering, and STEM fields. It is particularly valuable for beginners who want to gain a broad understanding of the key concepts and techniques used in robotics.
Duration: 4 hours
Learning Format: Online
Skills Covered: Engineering, Mechanical Engineering, Robotics, STEM, Kinematics
Fees: Not Available
Source: Alison
Understanding Robotics Architecture, offered by Alison and NPTEL, is a short course that introduces learners to the architecture of robotic systems. The course covers engineering principles, mechanical engineering concepts, and kinematics, making it ideal for those who want to understand the structural and functional design of robots. This course is particularly relevant for engineers and designers who are involved in the development and construction of robotic systems.
Duration: 4 hours
Learning Format: Online
Skills Covered: Science, Artificial Intelligence (AI), Robotics, Automation, Innovation, SDG 9 Industry, Innovation and Infrastructure, STEM, Technology
Fees: Not Available
Source: Alison
The Introduction to the Evolution of Robotics course, provided by Alison and NPTEL, explores the historical development of robotics and its impact on various industries. The course covers the evolution of robotics from its early beginnings to modern advancements in AI and automation. Learners will also explore the role of robotics in achieving the United Nations Sustainable Development Goal (SDG) 9, which focuses on industry, innovation, and infrastructure. This course is ideal for those interested in the history and future trajectory of robotics and its role in global development.
Duration: 6 hours
Learning Format: Online
Skills Covered: Neuroscience, Artificial Intelligence (AI), Robotics, STEM
Fees: Not Available
Source: Alison
Fundamentals in Cognitive Robotics, offered by Alison and NPTEL, provides an introduction to the principles of cognitive robotics, where AI and neuroscience intersect to create intelligent robotic systems. This course covers the basics of neuroscience and its application in robotics, making it particularly relevant for those interested in developing robots that can learn, adapt, and interact with their environment in a human-like manner. This course is ideal for those looking to explore the cognitive aspects of robotics and its applications in various industries.
Duration: 5 hours
Learning Format: Online
Skills Covered: Engineering, Mechanical Engineering, Robotics, Geometry, STEM, Kinematics
Fees: Not Available
Source: Alison
The Robotics and the Geometry of Motion course from Alison and NPTEL offers learners an understanding of the geometric principles that underlie robotic movement. The course covers kinematics, mechanical engineering, and the role of geometry in designing robotic systems. This course is ideal for those interested in the mathematical and geometric aspects of robotics, particularly in the design and control of robotic arms and manipulators.
Duration: 15 hours
Learning Format: Online
Skills Covered: Engineering, Physics, Machine Learning, Neuroscience, Artificial Intelligence (AI), Robotics, STEM
Fees: Not Available
Source: Alison
The Diploma in the Foundations of Cognitive Robotics, offered by Alison and NPTEL, provides an in-depth exploration of the cognitive aspects of robotics. This course covers the fundamentals of engineering, physics, machine learning, and neuroscience, making it ideal for those interested in developing intelligent robotic systems that can process information, learn, and make decisions. The course is particularly relevant for those pursuing careers in AI, machine learning, and cognitive robotics.
Duration: 10 hours
Learning Format: Online
Skills Covered: Robotics, Automation, Productivity, RPA, Driving, STEM
Fees: Not Available
Source: Alison
Alison’s Robotic Process Automation course, provided in partnership with NPTEL, offers a comprehensive overview of RPA and its applications in improving productivity and efficiency in various industries. The course covers the basics of robotics, automation, and RPA, making it suitable for professionals looking to implement automation solutions in their organizations. This course is particularly relevant for those interested in leveraging RPA to streamline business processes and reduce operational costs.
Duration: 6 hours
Learning Format: Online
Skills Covered: Programming, Robotics, Trading, Algorithmic Trading
Fees: Not Available
Source: Alison
The Masterclass de EA Builder: Programación de Robots para Trading is a specialized course offered by Alison that focuses on the programming of robots for algorithmic trading. This course covers the principles of programming, robotics, and trading, making it ideal for those interested in developing automated trading systems. Learners will gain insights into how to program robots that can analyze market data and execute trades based on predefined algorithms. This course is particularly relevant for those interested in financial technology (FinTech) and algorithmic trading.
Duration: 3 hours
Learning Format: Online
Skills Covered: Electronics, Arduino, Automation, Coding
Fees: Not Available
Source: Alison
Alison’s Arduino Automation & Robotics course offers a hands-on introduction to Arduino-based automation and robotics projects. The course covers the basics of electronics, automation, and coding, with practical projects such as building a piano, Morse code generator, and RGB LED lamp regulator. This course is perfect for hobbyists and beginners who want to learn how to use Arduino for simple automation and robotics projects, providing a fun and interactive way to explore the field of robotics.
Duration: 3 hours
Learning Format: Online
Skills Covered: Programming, C Programming, Python, Linux, Arduino, Coding, Embedded Systems, STEM
Fees: Not Available
Source: Alison
The Arduino Motion Detection through SMS using Python course on Alison teaches learners how to create motion detection systems using Arduino, Python, and Linux. This course covers programming in C and Python, as well as the basics of embedded systems and Linux. Learners will develop a project that detects motion and sends an SMS notification, making this course ideal for those interested in IoT applications and home automation using Arduino and Python.
Duration: 7 hours
Learning Format: Online
Skills Covered: Robotic Process Automation (RPA), Automation, AI
Fees: Not Available
Source: Pluralsight
Pluralsight’s Robotic Process Automation (RPA) course provides a comprehensive introduction to RPA and its applications in automating business processes. The course covers the fundamentals of RPA, including the use of automation and AI to improve efficiency and reduce human error. This course is ideal for professionals looking to implement RPA in their organizations, as well as those interested in pursuing a career in automation and AI.
Duration: 2 hours
Learning Format: Online
Skills Covered: Mapping, Process Automation, Software Robot
Fees: Not Available
Source: Pluralsight
Creating Basic Robots with Robotic Process Automation, offered by Pluralsight, teaches learners how to create simple software robots using RPA tools. The course covers the basics of mapping, process automation, and software development, making it suitable for beginners who want to get started with RPA. This course is particularly relevant for those looking to automate repetitive tasks in their workplace or explore the basics of robotic process automation.
Duration: 2 hours
Learning Format: Online
Skills Covered: Interconnect Legacy Systems, Business Process Modeling Techniques, Process Automation
Fees: Not Available
Source: Pluralsight
Pluralsight’s Advanced Application of Robotic Process Automation (RPA) course takes a deeper dive into the advanced aspects of RPA, including the integration of legacy systems, business process modeling techniques, and complex process automation. This course is ideal for professionals who already have a basic understanding of RPA and want to explore more advanced topics. It is particularly relevant for those involved in IT, software development, and business process management.
Duration: 2 hours
Learning Format: Online
Skills Covered: RPA, Robotics Implementation
Fees: Not Available
Source: Pluralsight
The Implementing Robotic Process Automation (RPA) in Organizations course from Pluralsight focuses on the practical aspects of deploying RPA solutions in a business setting. Learners will explore the challenges and best practices for implementing RPA, making this course ideal for managers and IT professionals who are responsible for overseeing RPA projects. The course also covers the impact of RPA on organizational efficiency and the workforce.
Duration: 6 months
Learning Format: Online
Skills Covered: Automation Skills, Robotic Skills
Fees: INR 20,000
Source: Career360
Career360’s RPA Developer Foundation course offers a comprehensive program designed to equip learners with the skills needed to become proficient in robotic process automation. The course covers a wide range of topics, including automation tools, robotic skills, and the application of RPA in various industries. This course is particularly relevant for those seeking a career in RPA development, offering practical training and certification to validate their expertise.
Duration: 6 months
Learning Format: Online
Skills Covered: Machines, Kinematics of Robots, Mechatronics, Classical Mechanics, Dynamics of Robots, Mechanics, Sensing and Control of Robots
Fees: INR 1,12,500
Source: Career360
The Post Graduate Certificate in Robotics and Mechatronics, offered by IIT Guwahati through Career360, is a comprehensive program that provides advanced training in robotics and mechatronics. This course covers key topics such as kinematics, classical mechanics, dynamics of robots, and the sensing and control of robotic systems. The program is ideal for professionals and graduates seeking to enhance their skills in robotics and mechatronics, with a focus on the integration of mechanical, electrical, and control systems.
Duration: 4 months
Learning Format: Online
Skills Covered: Robotics Engineer, Machine Learning Engineer, Artificial Intelligence Engineer, Automation Test Engineer
Fees: Not Available
Source: Career360
The Robotics for Scholars course, offered by the Boston Institute of Analytics through Career360, is designed to provide in-depth knowledge and skills for those aspiring to become robotics engineers, machine learning engineers, or AI engineers. The course covers a broad range of topics, including robotics, machine learning, and automation, making it ideal for students and professionals looking to build a career in these rapidly growing fields. The course is also suitable for those interested in pursuing research or academic positions in robotics and AI.
Duration: 3 months
Learning Format: Online
Skills Covered: Robotics Software, Gazebo, Simulation, ROS Nodes, C++, Monte Carlo Localization, SLAM (Simultaneous Localization and Mapping)
Fees: Not Available
Source: Career360
Udacity’s Robotics Software Engineer course, available through Career360, is a specialized program designed to equip learners with the software skills needed to develop and implement robotic systems. The course covers advanced topics such as Gazebo simulation, ROS nodes, C++, Monte Carlo localization, and SLAM (Simultaneous Localization and Mapping). This course is ideal for software developers and engineers who want to transition into the field of robotics, with a focus on the software and algorithms that power modern robotic systems.
Duration: 12 weeks
Learning Format: Online
Skills Covered: Mechanics, Electronics, Computing, Mathematical Modeling
Fees: INR 4,578
Source: Career360
The Robotics Foundation II course from the University of Naples Federico II, available through Career360, offers a comprehensive study of the mechanical, electronic, and computational aspects of robotics. This course covers mathematical modeling, control systems, and the integration of robotics with computing technologies. It is ideal for those seeking a deeper understanding of the technical foundations of robotics, with a focus on the interdisciplinary nature of robotic system development.
Duration: 12 weeks
Learning Format: Online
Skills Covered: AI, Automation, Self-Driving Vehicles, Kinematics, VAL Programming, Automation, Trajectory Planning, Vectors.
Fees: Free
Source: Career360
IIT Kanpur’s Introduction to Robotics course, offered through Swayam and available on Career360, provides a broad introduction to the field of robotics. The course covers a wide range of topics, including AI, automation, self-driving vehicles, kinematics, VAL programming, and trajectory planning. This course is particularly valuable for those new to robotics or looking to explore its various applications, from industrial automation to autonomous vehicles. The course is offered for free, making it accessible to a wide audience.
Duration: 4 weeks
Learning Format: Online
Skills Covered: RPA Bots, Performing Text and Image Automation, Executing Data Manipulation, Learning Management System (LMS)
Fees: INR 16,995
Source: Career360
The Robotic Process Automation Training using UiPath course, offered by UiPath and Edureka through Career360, provides learners with practical training in developing and deploying RPA bots. The course covers key topics such as text and image automation, data manipulation, and the use of UiPath’s Learning Management System (LMS). This course is ideal for IT professionals and developers who want to specialize in RPA and automate complex business processes using UiPath.
The courses outlined in this article represent a diverse array of opportunities for those looking to advance their knowledge and skills in robotics and related fields. Whether you are interested in the technical aspects of robotics, such as kinematics, dynamics, and control, or the practical applications of robotics in automation, AI, and healthcare, there is a course available to meet your needs.
By engaging with these courses, learners can develop a deep understanding of the principles and technologies that drive modern robotics, positioning themselves for success in a rapidly evolving industry. Whether you are a beginner or a seasoned professional, the knowledge and skills gained from these courses will equip you to contribute to the future of robotics, whether in research, development, or industrial applications.
As the field of robotics continues to grow and expand into new areas, staying current with the latest trends, tools, and technologies is essential. These courses offer a pathway to achieving that goal, providing the foundation needed to excel in the exciting world of robotics.