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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

    • Columbia University

      3D Reconstruction - Multiple Viewpoints

      Skills you'll gain: Image Analysis, Computer Graphics, Virtual Reality, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      40 reviews

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Machine Learning with TensorFlow Google Cloud 日本語版

      Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, PyTorch (Machine Learning Library), Jupyter, MLOps (Machine Learning Operations), Dataflow, Artificial Neural Networks, Predictive Modeling, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      152 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Duke University

      Explainable Machine Learning (XAI)

      Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Natural Language Processing, Artificial Neural Networks, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • EIT Digital

      Geometric Algorithms

      Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Pseudocode, Theoretical Computer Science, Spatial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Northwestern University

      현대 로봇공학, 강좌 1: 로봇 동작의 기초

      Skills you'll gain: Mathematical Modeling, Engineering, Mechanics, 3D Modeling, Mechanical Engineering, Virtual Environment, Simulation and Simulation Software, Matlab, Linear Algebra, Computer Programming Tools, Spatial Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Coursera Project Network

      Visualizing Filters of a CNN using TensorFlow

      Skills you'll gain: Tensorflow, Applied Machine Learning, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Computer Vision, Scientific Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      78 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      Coursera Project Network

      Creating Multi Task Models With Keras

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      77 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Supervised Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Development Environment

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Beginner · Project · Less Than 2 Hours

    • Dartmouth College

      Linux Basics: The Command Line Interface - 6

      Skills you'll gain: Command-Line Interface, Linux Commands, Linux, Embedded Systems, Computer Engineering, File Systems, Unix, Operating Systems, C (Programming Language), Performance Tuning, Open Source Technology, OS Process Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      Google Cloud

      Transformer Models and BERT Model - 简体中文

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

      Advanced · Course · 1 - 4 Weeks

    • Coursera Project Network

      Mining Quality Prediction Using Machine & Deep Learning

      Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Decision Tree Learning, Deep Learning, Machine Learning Algorithms, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Matplotlib, Data Visualization Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      65 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • University of Colorado Boulder

      Ethical Issues in Computing Applications

      Skills you'll gain: Data Ethics, Ethical Standards And Conduct, Artificial Intelligence, Machine Learning, Emerging Technologies, Health Care, Personally Identifiable Information, Robotic Process Automation, Medical Records, Safety Assurance, Safety and Security

      Build toward a degree

      Beginner · Course · 1 - 3 Months

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    1…232425…42

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

    • 3D Reconstruction - Multiple Viewpoints: Columbia University
    • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
    • Explainable Machine Learning (XAI): Duke University
    • Geometric Algorithms: EIT Digital
    • 현대 로봇공학, 강좌 1: 로봇 동작의 기초: Northwestern University
    • Visualizing Filters of a CNN using TensorFlow: Coursera Project Network
    • Creating Multi Task Models With Keras: Coursera Project Network
    • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
    • Linux Basics: The Command Line Interface - 6: Dartmouth College
    • Transformer Models and BERT Model - 简体中文: Google Cloud

    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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