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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

      Dartmouth College

      Linux Basics: The Command Line Interface - 6

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Machine Learning in Healthcare: Fundamentals & Applications

      Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Health Care, Unsupervised Learning, Healthcare Industry Knowledge, Healthcare Ethics, Algorithms, Data Cleansing, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Deep Learning Applications for Computer Vision

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Programming Tools, Algorithms

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 3 Months

    • H

      H2O.ai

      Practical Machine Learning on H2O

      Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Data Import/Export, Artificial Neural Networks, Data Modeling, Data Manipulation, Feature Engineering

      4.5
      Rating, 4.5 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Development Environment

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Beginner · Project · Less Than 2 Hours

    • U

      Universidad Nacional Autónoma de México

      Comportamiento adaptativo

      Skills you'll gain: Artificial Intelligence, Algorithms, Systems Thinking, Artificial Neural Networks, Simulations, Computational Thinking, Network Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Arm

      Getting Started with Machine Learning at the Edge on Arm

      Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Performance Tuning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      CUDA Advanced Libraries

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Numerical Analysis, Data Processing, Data Structures, Performance Tuning, Data Transformation, Algorithms

      3
      Rating, 3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      M

      MathWorks

      Designing and Simulating Physical Models

      Skills you'll gain: Model Based Systems Engineering, Systems Integration, Engineering Design Process, Simulation and Simulation Software, Mathematical Modeling, Engineering Analysis, Matlab, Engineering Software, Engineering, Mechanical Engineering, Electrical Engineering, Control Systems

      Beginner · Course · 1 - 4 Weeks

    • G

      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), Data Validation, Jupyter, Dataflow, Artificial Neural Networks, Performance Tuning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      152 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free
      Free
      N

      Northeastern University

      Responsible AI for Mental Health

      Skills you'll gain: Data Ethics, Health Disparities, Health Equity, Mental Health, Artificial Intelligence, Mental Health Diseases and Disorders, Natural Language Processing, Healthcare Ethics, Psychotherapy, Patient Assistance, Mental Health Therapies, Information Privacy, Diversity Awareness, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Understanding Large Language Models in Business

      Skills you'll gain: Large Language Modeling, Trend Analysis, Real Time Data, Analytics, OpenAI, Business Marketing, Prompt Engineering, Business Strategy, Application Programming Interface (API), Business Modeling, Generative AI, ChatGPT, Technology Roadmaps, Software Development, Natural Language Processing, Artificial Neural Networks, Content Marketing, Artificial Intelligence, Customer experience improvement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to robotics

    robotics engineer
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    modern robotics, course 1: foundations of robot motion
    1…222324…40

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

    • Linux Basics: The Command Line Interface - 6: Dartmouth College
    • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
    • Deep Learning Applications for Computer Vision: University of Colorado Boulder
    • Practical Machine Learning on H2O: H2O.ai
    • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
    • Comportamiento adaptativo: Universidad Nacional Autónoma de México
    • Getting Started with Machine Learning at the Edge on Arm: Arm
    • CUDA Advanced Libraries: Johns Hopkins University
    • Designing and Simulating Physical Models: MathWorks
    • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud

    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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