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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
      C

      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
      C

      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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      77 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      Dartmouth College

      C Programming: Using Linux Tools and Libraries - 7

      Skills you'll gain: C (Programming Language), Linux, Embedded Systems, System Programming, Build Tools, Command-Line Interface, Operating Systems, Program Development, Software Installation, Development Environment, Application Development, File Systems

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • I

      ISAE-SUPAERO

      Foundation of Structural Dynamics

      Skills you'll gain: Structural Engineering, Mechanics, Engineering Analysis, Vibrations, Mathematical Modeling, Simulation and Simulation Software, Control Systems, Physics

      4.1
      Rating, 4.1 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Mining Methods

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Big Data, Supervised Learning, Machine Learning Methods, Text Mining, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Anomaly Detection, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Statistical Analysis, Predictive Modeling, Exploratory Data Analysis, Algorithms, Artificial Neural Networks

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      57 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Explainable Machine Learning (XAI)

      Skills you'll gain: Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Image Analysis, Machine Learning, Visualization (Computer Graphics), Deep Learning, Predictive Analytics, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model - 简体中文

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Software Architecture

      Advanced · Course · 1 - 4 Weeks

    • C

      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, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Software Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      65 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • S

      SAS

      Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

      Skills you'll gain: Predictive Modeling, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Decision Tree Learning, Business Metrics, Data Analysis, Performance Measurement, Regression Analysis, Ethical Standards And Conduct, Deep Learning, Artificial Neural Networks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Artificial Intelligence for Breast Cancer Detection

      Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Oncology, Computer Vision, Radiology, Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Radiography, Epidemiology, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Computational Vision

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Computational Thinking, Deep Learning, Psychology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model - Español

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative AI, Self Service Technologies

      Advanced · Course · 1 - 4 Weeks

    Searches related to robotics

    robotics engineer
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    modern robotics, course 1: foundations of robot motion
    1…232425…40

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

    • Visualizing Filters of a CNN using TensorFlow: Coursera Project Network
    • Creating Multi Task Models With Keras: Coursera Project Network
    • C Programming: Using Linux Tools and Libraries - 7: Dartmouth College
    • Foundation of Structural Dynamics: ISAE-SUPAERO
    • Data Mining Methods: University of Colorado Boulder
    • Explainable Machine Learning (XAI): Duke University
    • Transformer Models and BERT Model - 简体中文: Google Cloud
    • Mining Quality Prediction Using Machine & Deep Learning: Coursera Project Network
    • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
    • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University

    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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