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    • Robotics

    Robotics Courses Online

    Learn robotics for designing and building automated systems. Understand robotics programming, mechanics, and control systems.

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    Explore the Robotics Course Catalog

    • Status: New
      New

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Data Import/Export, Artificial Intelligence, Scientific Visualization, Computer Vision, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free

      Pohang University of Science and Technology(POSTECH)

      Introduction and Programming with IoT Boards

      Skills you'll gain: Internet Of Things, Wireless Networks, General Networking, Local Area Networks, Emerging Technologies, Networking Hardware, Embedded Software, TCP/IP, Electronic Hardware, Embedded Systems, Information Technology Architecture, Infrastructure Architecture, Software Architecture, Computer Hardware, Computer Programming Tools, Integrated Development Environments

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • Northwestern University

      Modern Robotics, Course 4: Robot Motion Planning and Control

      Skills you'll gain: Machine Controls, Artificial Intelligence, Automation, Manufacturing and Production, Process Control, Mechanical Engineering, Mechanics, Graph Theory, Engineering, Algorithms, Computational Logic, Virtual Environment, Simulation and Simulation Software, Mathematical Modeling, Numerical Analysis, Linear Algebra, Engineering Analysis, Differential Equations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      113 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L&T EduTech

      CPS Design for Mechatronics, Healthcare, EV & Robotics

      Skills you'll gain: Embedded Systems, Machine Controls, Electronic Systems, Automation, Power Electronics, Engineering, Electronic Components, Basic Electrical Systems, Mechanical Design, Mechanical Engineering, Hydraulics, Thermal Management, Matlab, Real Time Data

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Google Cloud

      Transformer Models and BERT Model

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Unstructured Data, Deep Learning

      4.1
      Rating, 4.1 out of 5 stars
      ·
      107 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Machine Learning Methods, Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Linear Algebra, Data Analysis, Information Architecture, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • MathWorks

      Computer Vision for Engineering and Science

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Geospatial Information and Technology, Visualization (Computer Graphics), Data Cleansing, Data Transformation, Performance Tuning, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      85 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Northwestern University

      Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots

      Skills you'll gain: Mechanics, Embedded Software, Mechanical Engineering, Artificial Intelligence, Automation, Engineering, Process Control, Mathematical Modeling, Torque (Physics), Engineering Calculations, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Toronto

      Introduction to Self-Driving Cars

      Skills you'll gain: Automation, Simulation and Simulation Software, Software Architecture, Hardware Architecture, Process Control, Systems Architecture, Computer Vision, Verification And Validation, Mathematical Modeling, Mechanical Engineering, Safety and Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 1 - 3 Months

    • IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Artificial Neural Networks, Deep Learning, Feature Engineering, Probability Distribution, Performance Tuning, Machine Learning, Regression Analysis, Data Processing, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Northwestern University

      Modern Robotics, Course 6: Capstone Project, Mobile Manipulation

      Skills you'll gain: Simulation and Simulation Software, Simulations, Matlab, Mechanics, Mathematical Modeling, Engineering Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      56 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…456…42

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

    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Introduction and Programming with IoT Boards: Pohang University of Science and Technology(POSTECH)
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Modern Robotics, Course 4: Robot Motion Planning and Control: Northwestern University
    • CPS Design for Mechatronics, Healthcare, EV & Robotics: L&T EduTech
    • Transformer Models and BERT Model: Google Cloud
    • Computational Neuroscience: University of Washington
    • Computer Vision for Engineering and Science: MathWorks
    • Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots : Northwestern University
    • Introduction to Self-Driving Cars: University of Toronto

    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

    Understanding why you want to learn robotics, whether for research, engineering, or personal projects, will focus your efforts. Regular practice with programming, electronics, and mechanical design is essential. Join robotics communities online or local clubs for support and collaboration. Work on real projects like building small robots or participating in robotics competitions. Coursera’s Modern Robotics: Mechanics, Planning, and Control Specialization by Northwestern University offers a comprehensive robotics curriculum.‎

    Robotics courses on Coursera cover a wide range of essential skills needed to design, build, and program robots, including:

    • Fundamental principles of robotics engineering, such as kinematics, dynamics, and control systems.
    • Programming skills specific to robotics applications, including programming in Python, C++, and ROS (Robot Operating System).
    • Techniques for designing robotic systems, including mechanical design and sensor integration.
    • Methods for implementing artificial intelligence in robots to perform tasks such as navigation, manipulation, and interaction.
    • Best practices for testing and debugging robotic systems to ensure functionality and reliability.
    • Insights into the ethical and societal implications of robotics technology.
    • Application of robotics in various fields such as manufacturing, healthcare, and autonomous vehicles.‎

    Coursera’s Robotics courses cater to learners with different levels of experience:

    • Beginners: No prior experience is required for introductory courses, which provide basics in robotics and simple programming.
    • Intermediate Learners: Some knowledge of programming or mechanical design is beneficial for intermediate courses that delve into more complex robotics concepts.
    • Advanced Professionals: Experienced engineers or programmers can take advanced courses focusing on specialized areas of robotics, such as AI integration or advanced control systems. ‎

    Engaging with Robotics courses on Coursera can lead to various credentials that demonstrate your capabilities:

    • Course Certificates: Obtain a certificate for each Robotics course you complete, showcasing your expertise in specific robotics skills.
    • Professional Certificates: These are designed to prepare you for professional roles in robotics, highlighting your advanced knowledge and technical skills.
    • Specializations: Engage in a series of courses that provide comprehensive training in robotics, culminating in a capstone project where you apply your skills in practical scenarios.‎

    Skills gained from Robotics courses can lead to a variety of career opportunities in industries that incorporate robotic technologies, such as:

    • Robotics Engineer: Designing and developing robotic systems that can perform a variety of tasks.
    • Automation Engineer: Implementing robotic solutions to improve efficiency and safety in manufacturing and production processes.
    • Software Developer for Robotics: Creating the software that controls and integrates robotic systems.
    • Systems Analyst: Analyzing and improving existing robotic systems to enhance their performance and functionality.
    • Research Scientist in Robotics: Conducting research to advance the field of robotics, developing new technologies and applications.‎

    Looking to enhance your team's Robotics skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our Robotics training options and make a purchase, please visit our Coursera for Teams page.‎

    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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