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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

    • DeepLearning.AI

      KI für alle

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Strategy, Team Building, Team Oriented, Data Ethics, New Business Development, Strategic Thinking, Data Science, Business Analytics, Artificial Neural Networks, Machine Learning, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Beginning Custom Projects with Raspberry Pi

      Skills you'll gain: Remote Access Systems, Linux, Web Applications, Internet Of Things, Embedded Systems, Application Programming Interface (API), Linux Commands, Command-Line Interface, System Configuration, General Networking, Computer Hardware, Python Programming, Software Installation, Operating Systems, Peripheral Devices

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44 reviews

      Mixed · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Generative AI, Applied Machine Learning, Natural Language Processing, Python Programming

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Recommendation Systems on Google Cloud

      Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      478 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, OpenAI, Predictive Modeling, Machine Learning Algorithms, Image Analysis, Artificial Intelligence, Artificial Neural Networks, Machine Learning, Feature Engineering, Unstructured Data, Business Logic, ChatGPT, Dimensionality Reduction, Data Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 3 Months

    • Dartmouth College

      C Programming: Modular Programming and Memory Management - 3

      Skills you'll gain: C (Programming Language), System Programming, Hardware Architecture, Computer Architecture, Embedded Software, Operating Systems, Programming Principles, Computer Programming, Program Development, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      60 reviews

      Beginner · Course · 1 - 3 Months

    • Dartmouth College

      C Programming: Pointers and Memory Management - 4

      Skills you'll gain: C (Programming Language), Embedded Systems, Computer Engineering, Embedded Software, Engineering Software, System Programming, Computer Programming, Operating Systems, Data Structures, Linux

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 3 Months

    • Duke University

      Explainable AI (XAI)

      Skills you'll gain: Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Python Programming, Applied Machine Learning, Natural Language Processing, Deep Learning, Business Ethics, Visualization (Computer Graphics), Artificial Neural Networks, Computer Vision, Data-Driven Decision-Making, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free

      Universitat Autònoma de Barcelona

      Detección de objetos

      Skills you'll gain: Computer Vision, Image Analysis, Machine Learning Methods, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      352 reviews

      Mixed · Course · 1 - 3 Months

    • 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, Operational Efficiency, Security Controls, Strategic Decision-Making, Change Management

      4.2
      Rating, 4.2 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of London

      모두를 위한 머신 러닝

      Skills you'll gain: Applied Machine Learning, Artificial Intelligence, Machine Learning, Computer Vision, Data Processing, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Starweaver

      Future of Production

      Skills you'll gain: Lean Manufacturing, Manufacturing and Production, Manufacturing Processes, Production Management, Quality Management, Emerging Technologies, Strategic Leadership, Operational Efficiency, Big Data, Process Optimization, Business Technologies, Internet Of Things, Data-Driven Decision-Making, Automation, Waste Minimization, Supply Chain, Corporate Sustainability, Innovation, Digital Transformation, Robotic Process Automation

      Beginner · Course · 1 - 4 Weeks

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    1…171819…42

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

    • KI für alle: DeepLearning.AI
    • Beginning Custom Projects with Raspberry Pi: Johns Hopkins University
    • Introduction to Deep Learning: University of Colorado Boulder
    • Recommendation Systems on Google Cloud: Google Cloud
    • AI and Machine Learning Algorithms and Techniques: Microsoft
    • C Programming: Modular Programming and Memory Management - 3: Dartmouth College
    • C Programming: Pointers and Memory Management - 4: Dartmouth College
    • Explainable AI (XAI): Duke University
    • Detección de objetos: Universitat Autònoma de Barcelona
    • Automation for Business: Starweaver

    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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