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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

    • Università di Napoli Federico II

      Data Science con Python e R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles

      4.3
      Rating, 4.3 out of 5 stars
      ·
      50 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Universidad Nacional de Colombia

      Ciencia de datos energéticos

      Skills you'll gain: Time Series Analysis and Forecasting, Data Science, Electrical Engineering, Statistical Methods, Data Modeling, Python Programming, Data Processing, Data Analysis, Data Manipulation, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Artificial Neural Networks

      5
      Rating, 5 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 3 Months

    • Indian Institute of Science

      Micro Electromechanical Systems

      Skills you'll gain: Semiconductors, Hardware Design, Electronic Systems, Embedded Systems, Electrical Engineering, Mechanical Engineering, Manufacturing Processes, Test Engineering, Electronic Components, Engineering Design Process, Systems Integration, Process Development

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • Dartmouth College

      C Programming: Advanced Data Types - 5

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 3 Months

    • Illinois Tech

      Deep Learning

      Skills you'll gain: Deep Learning, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Computer Vision, Natural Language Processing, Machine Learning, Performance Tuning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 3 Months

    • The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 3 Months

    • L&T EduTech

      Industrial Applications of AI

      Skills you'll gain: Machine Learning Algorithms, Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning, Artificial Intelligence, Civil Engineering, Tensorflow, Computer Engineering, Engineering Software, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electrical Engineering, Mechanical Engineering, Computer Programming, Predictive Modeling, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      DeepLearning.AI

      How Diffusion Models Work

      Skills you'll gain: Generative AI, Jupyter, PyTorch (Machine Learning Library), Image Analysis, Sampling (Statistics), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      256 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free
      Free

      Coursera Project Network

      Facial Expression Recognition with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Data Transformation

      3.8
      Rating, 3.8 out of 5 stars
      ·
      53 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Intel

      An Introduction to Practical Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Generative AI, Applied Machine Learning, Natural Language Processing, Scalability, Artificial Intelligence, Reinforcement Learning, Machine Learning, Network Architecture, Performance Tuning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    • DeepLearning.AI

      Нейронные сети и глубокое обучение

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Network Architecture, Machine Learning Algorithms

      3.9
      Rating, 3.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • LearnQuest

      IoT Systems and Industrial Applications with Design Thinking

      Skills you'll gain: User Research, Internet Of Things, Usability Testing, Prototyping, Design Thinking, Ideation, Automation, Advanced Analytics, Analytics, Solution Design, User Experience Design, Big Data, Data-Driven Decision-Making, Human Centered Design, Data Management, Systems Architecture, Embedded Software, Real Time Data, Hardware Architecture, Network Protocols

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Beginner · Specialization · 1 - 3 Months

    Robotics learners also search

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    1…192021…42

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

    • Data Science con Python e R: Università di Napoli Federico II
    • Ciencia de datos energéticos: Universidad Nacional de Colombia
    • Micro Electromechanical Systems: Indian Institute of Science
    • C Programming: Advanced Data Types - 5: Dartmouth College
    • Deep Learning: Illinois Tech
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Industrial Applications of AI: L&T EduTech
    • How Diffusion Models Work: DeepLearning.AI
    • Facial Expression Recognition with PyTorch : Coursera Project Network
    • An Introduction to Practical Deep Learning: Intel

    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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