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Robotics Courses

Robotics courses can help you learn programming for robot control, sensor integration, and mechanical design principles. You can build skills in automation, system troubleshooting, and algorithm development for tasks like navigation and object recognition. Many courses introduce tools such as ROS (Robot Operating System), CAD software for design, and simulation platforms that allow you to test your robotic systems in virtual environments.


Popular Robotics Courses and Certifications


  • Status: New
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    S

    Siemens

    Basics of Robotics

    Skills you'll gain: Safety Standards, Robotics, Electrical Safety, Mechanical Design, Automation, Control Systems, Manufacturing and Production, Performance Testing, Human Machine Interfaces, Computer Programming, Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Robotics with Webots

    Skills you'll gain: Robotics, Artificial Intelligence, Automation, Data Mapping, Graph Theory, Planning, Algorithms, Computer Programming, Computer Vision, Computer Science, Simulation and Simulation Software, Control Systems, Real-Time Operating Systems, Engineering, Data Structures, Python Programming, Simulations, Linear Algebra, Design

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    68 reviews

    Beginner · Specialization · 3 - 6 Months

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    U

    University of Leeds

    How to Get Into Robotics

    Skills you'll gain: Robotics, Automation, Artificial Intelligence, Manufacturing and Production, Engineering, Data Ethics, Electrical Engineering, Computer Vision, Control Systems, Biomedical Engineering, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
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    58 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
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    22K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
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    A

    Amazon Web Services

    Introduction to Robotics on AWS

    Skills you'll gain: Amazon Web Services, Robotics, Cloud-Based Integration, Automation, Cloud Applications

    4.3
    Rating, 4.3 out of 5 stars
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    110 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    An Introduction to Programming the Internet of Things (IOT)

    Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Basic Electrical Systems, Automation Engineering, User Requirements Documents, Electronics, Functional Requirement, Operating System Administration, Electronic Components, Systems Design, Operating Systems, Requirements Analysis, Network Protocols, Debugging, Application Programming Interface (API), TCP/IP, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    UiPath

    Robotic Process Automation (RPA)

    Skills you'll gain: Robotic Process Automation, Data Manipulation, Email Automation, Web Scraping, User Interface (UI), Business Process Automation, Automation, UI Components, Test Automation, Context Management, Excel Macros, Data Cleansing, Network Protocols, Data Import/Export, Software Development Tools, Data Management, Unstructured Data, Data Flow Diagrams (DFDs), Application Deployment, Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
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    521 reviews

    Beginner · Specialization · 3 - 6 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Machine Learning Methods, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Traffic Flow Optimization, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    350 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    AI in Sports: The Approach of a Club

    Skills you'll gain: Artificial Intelligence, Performance Analysis, Automation, Personalized Service, Digital Transformation, Augmented and Virtual Reality (AR/VR), Technology Strategies, Innovation, Internet Of Things, Machine Learning, Big Data, Ethical Standards And Conduct, Deep Learning, Analytical Skills, Predictive Analytics, Health Technology, Data Analysis, Natural Language Processing, User Experience, Data Security

    4.8
    Rating, 4.8 out of 5 stars
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    18 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    N

    National Taiwan University

    機器人學一 (Robotics (1))

    Skills you'll gain: Robotics, Machine Controls, Mechanics, Automation Engineering, Linear Algebra, Engineering Calculations, Applied Mathematics, Control Systems, Mathematical Modeling, Spatial Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    64 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Starweaver

    Robotics Process Automation for Smart Manufacturing

    Skills you'll gain: Robotic Process Automation, Automation, Manufacturing and Production, Manufacturing Processes, Internet Of Things, User Interface (UI), Systems Integration, Scalability, Development Environment, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

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In summary, here are 10 of our most popular robotics courses

  • Basics of Robotics: Siemens
  • Introduction to Robotics with Webots: University of Colorado Boulder
  • How to Get Into Robotics: University of Leeds
  • Introduction to Artificial Intelligence (AI): IBM
  • Introduction to Robotics on AWS: Amazon Web Services
  • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
  • Robotic Process Automation (RPA): UiPath
  • MathWorks Computer Vision Engineer: MathWorks
  • AI in Sports: The Approach of a Club: Real Madrid Graduate School Universidad Europea
  • 機器人學一 (Robotics (1)): National Taiwan University

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

Frequently Asked Questions about Robotics

Robotics is a multidisciplinary field that combines engineering, computer science, and technology to design, build, and operate robots. These machines can perform tasks autonomously or semi-autonomously, making them invaluable in various industries. The importance of robotics lies in its ability to enhance productivity, improve safety, and reduce human error in tasks ranging from manufacturing to healthcare. As automation continues to evolve, understanding robotics becomes essential for adapting to technological advancements and improving operational efficiency.‎

A career in robotics can lead to various job opportunities across multiple sectors. Positions such as robotics engineer, automation technician, and research scientist are common. Additionally, roles in programming, system integration, and maintenance of robotic systems are in high demand. Industries such as manufacturing, healthcare, and logistics are increasingly relying on robotics, creating a wealth of opportunities for those skilled in this area.‎

To succeed in robotics, you need a blend of technical and soft skills. Key technical skills include programming languages like Python and C++, knowledge of control systems, and an understanding of mechanical design. Familiarity with sensors, actuators, and artificial intelligence is also beneficial. Soft skills such as problem-solving, teamwork, and effective communication are essential, as robotics often involves collaboration across various disciplines.‎

There are numerous online courses available for those interested in robotics. Some of the best options include the Modern Robotics: Mechanics, Planning, and Control Specialization and the Introduction to Robotics with Webots Specialization. These programs cover foundational concepts and practical applications, making them suitable for learners at different levels.‎

Yes. You can start learning robotics on Coursera for free in two ways:

  1. Preview the first module of many robotics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in robotics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Learning robotics involves a structured approach. Start by gaining foundational knowledge through online courses or textbooks. Engage in hands-on projects to apply what you've learned, such as building simple robots or programming simulations. Joining online communities or forums can also provide support and resources. As you progress, consider specializing in areas like AI for robotics or automation systems to deepen your expertise.‎

Robotics courses typically cover a range of topics, including robot design, kinematics, dynamics, control systems, and programming. You may also explore artificial intelligence applications in robotics, sensor integration, and real-world case studies. These subjects provide a comprehensive understanding of how robots operate and interact with their environments.‎

For training and upskilling employees in robotics, courses like the Fundamentals of Robotics & Industrial Automation and the Collaborative Robotics in Industry Specialization are excellent choices. These programs focus on practical applications and industry-relevant skills, making them ideal for workforce development.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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