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    • Robotics

    Robotics Courses

    Robotics courses can help you learn how to design, build, and program intelligent machines that can perform tasks autonomously or with human guidance.

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    Find the Best Robotics Course for Your Goals

    • D

      DeepLearning.AI

      Generative Deep Learning with TensorFlow

      Skills you'll gain: Generative AI, Tensorflow, Image Analysis, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Computer Graphics, Unsupervised Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      305 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Computing, Ethics, and Society

      Skills you'll gain: Data Ethics, Security Awareness, Ethical Standards And Conduct, Computer Security Awareness Training, Cybersecurity, Diversity Awareness, Generative AI, Artificial Intelligence, Information Technology, Information Privacy, Media and Communications, Machine Learning, Automation, Cultural Diversity, Personally Identifiable Information, Artificial Intelligence and Machine Learning (AI/ML), Social Justice, Law, Regulation, and Compliance, Emerging Technologies, Health Care

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      21 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • S

      Starweaver

      Automation for Business

      Skills you'll gain: Business Process Automation, Automation, Business Workflow Analysis, Process Analysis, Business Process, Compliance Management, Regulatory Compliance, Business Transformation, Business Technologies, Return On Investment, Continuous Improvement Process, Change Management

      4.2
      Rating, 4.2 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Cloud Solutions, Feature Engineering, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      534 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Basic Image Classification with TensorFlow

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      843 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Innovations in Investment Technology: Artificial Intelligence

      Skills you'll gain: Investment Management, Wealth Management, Asset Management, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Machine Learning, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      383 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Università di Napoli Federico II

      Modelling and simulation of mechanical systems

      Skills you'll gain: Model Based Systems Engineering, Mechanical Engineering, Control Systems, Computer Vision, Laboratory Experience, Simulations, Equipment Design, Matlab, Electronic Systems, Technical Design, Vibrations, Hydraulics, Automation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Microsoft

      Automation and Scripting with Python

      Skills you'll gain: Web Scraping, Git (Version Control System), Scripting, Version Control, Test Automation, Software Testing, Cloud API, Automation, Restful API, Application Programming Interface (API), Scalability, Python Programming, Data Cleansing, Performance Tuning, File Management

      3.9
      Rating, 3.9 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Dimensionality Reduction, 3D Modeling, Photography, Artificial Neural Networks, Virtual Reality, Medical Imaging, Visualization (Computer Graphics), Color Theory, Unsupervised Learning, Deep Learning, Graph Theory, Automation Engineering, Mathematical Modeling, Machine Learning Algorithms, Estimation, Electronic Components, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      212 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      Imperial College London

      Getting started with TensorFlow 2

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Supervised Learning, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Jupyter

      4.9
      Rating, 4.9 out of 5 stars
      ·
      573 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to robotics

    robotics engineering & applications
    robotics process automation for smart manufacturing
    modern robotics, course 1: foundations of robot motion
    modern robotics: mechanics, planning, and control
    modern robotics, course 5: robot manipulation and wheeled mobile robots
    modern robotics, course 4: robot motion planning and control
    modern robotics, course 2: robot kinematics
    modern robotics, course 6: capstone project, mobile manipulation
    1…121314…40

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

    • Generative Deep Learning with TensorFlow: DeepLearning.AI
    • Computing, Ethics, and Society: University of Colorado Boulder
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Automation for Business: Starweaver
    • Deep Learning and Reinforcement Learning: IBM
    • Natural Language Processing on Google Cloud: Google Cloud
    • Basic Image Classification with TensorFlow: Coursera Project Network
    • Innovations in Investment Technology: Artificial Intelligence: University of Michigan
    • Modelling and simulation of mechanical systems: Università di Napoli Federico II
    • Automation and Scripting with Python: Microsoft

    Why Learn Robotics?

    Robotics combines engineering, computer science, and artificial intelligence to create machines that sense, move, and interact with their environment. It plays a vital role in fields like manufacturing, healthcare, space exploration, and everyday automation. Learning robotics can help you build problem-solving skills and contribute to innovations that are reshaping the future of work and technology.

    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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