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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

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Arduino y algunas aplicaciones

      Skills you'll gain: Automation, Internet Of Things, Prototyping, Integrated Development Environments, Electronic Components, Embedded Systems, Electronics, Computer Programming, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      621 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      935 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      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, Python Programming, Derivatives

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

      Beginner · Course · 1 - 3 Months

    • U

      University at Buffalo

      Intelligent Machining

      Skills you'll gain: Control Systems, Machine Controls, Manufacturing Processes, Internet Of Things, Automation, Software Systems, Real Time Data, Artificial Intelligence, Machine Learning, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      BIM Fundamentals for Engineers

      Skills you'll gain: Building Information Modeling, Engineering Documentation, Data Modeling, 3D Modeling, Computer-Aided Design, Construction, Information Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      840 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University at Buffalo

      Collaborative Robot Safety: Design & Deployment

      Skills you'll gain: Safety Training, Electrical Safety, Safety and Security, Technical Standard, Equipment Design, Risk Management Framework, Risk Control, Control Systems, Product Testing, Failure Analysis, Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      256 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Unsupervised Learning, Artificial Neural Networks, Computer Vision, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Internet of Things: Sensing and Actuation From Devices

      Skills you'll gain: Internet Of Things, Embedded Software, Embedded Systems, Telecommunications, Peripheral Devices, Computer Hardware, Wireless Networks, Digital Communications, Prototyping

      4.5
      Rating, 4.5 out of 5 stars
      ·
      158 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Automation Anywhere

      Getting Started with Automation 360

      Skills you'll gain: Robotic Process Automation, Business Process Automation, Automation, Scripting, Process Analysis, Business Workflow Analysis, Workflow Management, Scripting Languages, Business Process, Office Procedures, Scalability, Microsoft Excel

      4.5
      Rating, 4.5 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 3 Months

    Robotics learners also search

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    1…567…40

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

    • AI For Everyone: DeepLearning.AI
    • Arduino y algunas aplicaciones: Universidad Nacional Autónoma de México
    • Deep Learning with Keras and Tensorflow: IBM
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Intelligent Machining: University at Buffalo
    • BIM Fundamentals for Engineers: National Taiwan University
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Collaborative Robot Safety: Design & Deployment: University at Buffalo
    • Introduction to Machine Learning: Duke University
    • Advanced Learning Algorithms: DeepLearning.AI

    Skills you can learn in Software Development

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    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
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    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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