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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

    • Status: Free
      Free
      U

      UNSW Sydney (The University of New South Wales)

      Designing the Future of Work

      Skills you'll gain: Design Thinking, Business Transformation, Strategic Thinking, Automation, Digital Transformation, Human Centered Design, Emerging Technologies, Adaptability, Innovation, Service Design, Forecasting, Customer experience strategy (CX)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      301 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Visual Perception for Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Machine Learning, Python Programming, NumPy, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      580 reviews

      Advanced · Course · 1 - 3 Months

    • I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      709 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      K

      Karlsruhe Institute of Technology

      Machine Translation

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Language Interpretation, Translation, and Studies, Statistical Modeling, Vocabulary, Analysis, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      176 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Arizona State University

      Adding Electronics to Rapid Prototypes

      Skills you'll gain: Basic Electrical Systems, Electronics, Electronic Components, Prototyping, Electronic Hardware, Electrical Wiring, Hardware Design, Embedded Systems, Machine Controls, Schematic Diagrams

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 3 Months

    • L

      L&T EduTech

      Industry 4.0: PLM, Value Chain, and Smart Factory

      Skills you'll gain: Product Lifecycle Management, Manufacturing and Production, Robotic Process Automation, Manufacturing Operations, Production Process, Lean Manufacturing, Automation, Enterprise Resource Planning, Internet Of Things, Facility Management and Maintenance, Digital Transformation, Real Time Data, Predictive Modeling, Augmented Reality

      4.4
      Rating, 4.4 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      679 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      L&T EduTech

      VLSI chip design with CPS for Industrial Applications

      Skills you'll gain: Embedded Systems, Embedded Software, Electronic Systems, PIC Microcontrollers, Computer Systems, Internet Of Things, Automation, Vibrations, System Programming, Control Systems, C (Programming Language), Programmable Logic Controllers, Hardware Architecture, Peripheral Devices, Electronics, Wireless Networks, Medical Equipment and Technology, Electric Power Systems, Civil Engineering, Structural Engineering

      4.4
      Rating, 4.4 out of 5 stars
      ·
      12 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Università di Napoli Federico II

      Autonomous Aerospace Systems

      Skills you'll gain: Control Systems, Systems Architecture, Simulation and Simulation Software, Global Positioning Systems, Automation, Computer Vision, Mathematical Modeling, Estimation, Real Time Data

      4.4
      Rating, 4.4 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • M

      MathWorks

      Machine Learning for Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Data Validation, Performance Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of California, Santa Cruz

      AI, Empathy & Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Neural Networks, Ethical Standards And Conduct, Deep Learning, Machine Learning, Supervised Learning, Reinforcement Learning, Policy Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      280 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI: Foundation Models and Platforms

      Skills you'll gain: Generative AI, OpenAI, Large Language Modeling, ChatGPT, Prompt Engineering, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Natural Language Processing, Computing Platforms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      202 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…111213…40

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

    • Designing the Future of Work: UNSW Sydney (The University of New South Wales)
    • Visual Perception for Self-Driving Cars: University of Toronto
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Machine Translation: Karlsruhe Institute of Technology
    • Adding Electronics to Rapid Prototypes: Arizona State University
    • Industry 4.0: PLM, Value Chain, and Smart Factory: L&T EduTech
    • Guided Tour of Machine Learning in Finance: New York University
    • VLSI chip design with CPS for Industrial Applications: L&T EduTech
    • Autonomous Aerospace Systems: Università di Napoli Federico II
    • Machine Learning for Computer Vision: MathWorks

    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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