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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: New
      New
      J

      Johns Hopkins University

      Introduction to Neural Networks

      Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Linear Algebra, Artificial Intelligence, Performance Tuning, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Fundamentos de IA Aplicados ao CRM

      Skills you'll gain: Predictive Analytics, Customer Relationship Management, Advanced Analytics, Data-Driven Decision-Making, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Visión artificial contemporánea

      Skills you'll gain: Computer Vision, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Computer Graphics, Machine Learning Methods, Network Architecture, Machine Learning

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      Imperial College London

      TensorFlow 2 시작하기

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Machine Learning Methods, Artificial Neural Networks, Computer Vision, Jupyter

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Advanced Neural Network Techniques

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Data Ethics, Artificial Intelligence, Machine Learning, Markov Model, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

      Skills you'll gain: Machine Learning, Data Ethics, Predictive Modeling, Technical Communication, Predictive Analytics, Supervised Learning, Analytical Skills, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Regression Analysis, Data Validation, Statistical Analysis, Data Visualization, Artificial Neural Networks

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Сверточные нейронные сети

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Visualization (Computer Graphics), Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      TensorFlow for Beginners: Basic Binary Image Classification

      Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Computer Vision, Deep Learning

      Beginner · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      AI、機械学習、ディープラーニングのための TensorFlow 入門

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Deep Learning, Artificial Intelligence, Artificial Neural Networks, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • B

      Board Infinity

      The Rise of Generative AI

      Skills you'll gain: Generative AI, Artificial Neural Networks, Artificial Intelligence, Deep Learning, Large Language Modeling, Machine Learning, Emerging Technologies, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine/Deep Learning for Mining Quality Prediction-Enhanced

      Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of Glasgow

      Applied AI for Engineers and Scientists: Foundations

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Manipulation, Data Cleansing, Artificial Intelligence, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Programming Principles, Computer Programming, Scripting, Data Structures, Machine Learning Algorithms

      Beginner · Specialization · 1 - 3 Months

    Searches related to robotics

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    1…323334…40

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

    • Introduction to Neural Networks: Johns Hopkins University
    • Fundamentos de IA Aplicados ao CRM: Fundação Instituto de Administração
    • Visión artificial contemporánea: Universidad de los Andes
    • TensorFlow 2 시작하기: Imperial College London
    • Advanced Neural Network Techniques: Johns Hopkins University
    • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
    • Сверточные нейронные сети: DeepLearning.AI
    • TensorFlow for Beginners: Basic Binary Image Classification: Coursera Project Network
    • AI、機械学習、ディープラーニングのための TensorFlow 入門: DeepLearning.AI
    • The Rise of Generative AI: Board Infinity

    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

    Top courses include the Modern Robotics Specialization from Northwestern University, which covers mechanics, planning and control. Other options include Fundamentals of Robotics & Industrial Automation from L&T EduTech and Introduction to Robotics with Webots from the University of Colorado Boulder.‎

    Yes. Many robotics courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn about mechanical systems, sensors and actuators, kinematics, control systems, and programming for robots. Some courses also explore applications in fields like manufacturing, healthcare, and autonomous vehicles.‎

    Not necessarily. While some background in math, physics, or programming can be helpful, many introductory courses on Coursera start with the basics. Advanced courses and specializations build on foundational knowledge in engineering or computer science.‎

    Yes. Robotics is an interdisciplinary field with growing demand in industries like manufacturing, automation, research, and healthcare. Coursera courses can help you develop job-ready skills, build a portfolio of projects, and earn certificates that show your knowledge and readiness for roles in robotics engineering, mechatronics, or automation.‎

    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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