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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

    • G

      Google Cloud

      Encoder-Decoder Architecture

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      42 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Explainable AI: Scene Classification and GradCam Visualization

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Artificial Neural Networks, Data Processing, Interactive Data Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Art and Science of Machine Learning en Español

      Skills you'll gain: Tensorflow, Performance Tuning, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Supervised Learning, Machine Learning, Machine Learning Algorithms, Regression Analysis, Google Cloud Platform

      4.7
      Rating, 4.7 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      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
      ·
      51 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Pennsylvania

      로봇공학: 캡스톤 디자인

      Skills you'll gain: Control Systems, Automation, Artificial Intelligence, Matlab, Embedded Software, Simulations, Computer Vision, Mathematical Modeling, Mechanics, Python Programming, Algorithms, Electronic Components

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Visual Perception

      Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Feature Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Arduino For Beginners - 2023 Complete Course

      Skills you'll gain: Electronic Components, Programming Principles, Electronics, Display Devices, Interactive Design, Computer Programming, Embedded Systems, Development Environment, Simulation and Simulation Software, Environmental Monitoring, Digital Communications, Debugging, Data Storage, Real Time Data

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Machine Learning Models in Science

      Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      RH, Dados e Inteligência Artificial

      Skills you'll gain: People Analytics, HR Tech, Deep Learning, Digital Transformation, Machine Learning, Human Resources, Artificial Neural Networks, Artificial Intelligence, Data-Driven Decision-Making, Predictive Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      MathWorks

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Machine Learning, Simulations

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Transformer Models and BERT Model - Bahasa Indonesia

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Deep Learning

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      AI ML with Deep Learning and Supervised Models

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning Algorithms, Tensorflow, Deep Learning, Keras (Neural Network Library), Machine Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Predictive Analytics, Data Ethics, Algorithms, Random Forest Algorithm, Computer Vision

      Beginner · Specialization · 1 - 3 Months

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    1…242526…40

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

    • Encoder-Decoder Architecture: Google Cloud
    • Explainable AI: Scene Classification and GradCam Visualization : Coursera Project Network
    • Art and Science of Machine Learning en Español: Google Cloud
    • Data Science con Python e R: Università di Napoli Federico II
    • 로봇공학: 캡스톤 디자인: University of Pennsylvania
    • Visual Perception: Columbia University
    • Arduino For Beginners - 2023 Complete Course: Packt
    • Machine Learning Models in Science: LearnQuest
    • RH, Dados e Inteligência Artificial: Fundação Instituto de Administração
    • Reinforcement Learning: MathWorks

    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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