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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 Trial
      Free Trial
      U

      University of California, Davis

      Digital Trends: AI, Metaverse, Persuasive Tech & Blockchain

      Skills you'll gain: Digital Transformation, Emerging Technologies, Artificial Intelligence, Digital Assets, Digital Marketing, Artificial Neural Networks, Social Media, Web Development, Deep Learning, Persuasive Communication, Human Computer Interaction, Machine Learning, Business Ethics, Algorithms, Cryptography, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Northwestern University

      현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇

      Skills you'll gain: Machine Controls, Automation Engineering, Mathematical Modeling, Torque (Physics), Mechanics, Control Systems, Mechanical Engineering, Engineering, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Program Development, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Intro to TensorFlow em Português Brasileiro

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, Application Deployment, Data Pipelines, Artificial Neural Networks, Applied Machine Learning, Data Processing, Data Import/Export, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Classify Radio Signals with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Image Analysis, Feature Engineering, Digital Communications, Deep Learning, Artificial Neural Networks, Telecommunications

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SAS

      Modeling Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Trees, SVM and Unsupervised Learning

      Skills you'll gain: Applied Machine Learning, Supervised Learning, Statistical Machine Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Feature Engineering, Random Forest Algorithm

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Machine Learning e Data Mining in R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Data Mining, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Statistical Analysis, Data Visualization Software, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Generative AI: Foundations and Concepts

      Skills you'll gain: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Computer Vision, Applied Mathematics, Machine Learning, Network Architecture, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      H

      H2O.ai

      H2O ai Large Language Models (LLMs) - Level 1

      Skills you'll gain: Large Language Modeling, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Machine Learning Methods, Natural Language Processing

      3.3
      Rating, 3.3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Fundamentals of NLP and Transformers

      Skills you'll gain: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Data Processing, Machine Learning Methods, Data Cleansing

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northwestern University

      현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션

      Skills you'll gain: Control Systems, Robotic Process Automation, Simulations, Record Keeping, Matlab, Computer Programming, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Transformer Models and BERT Model - 한국어

      Skills you'll gain: Natural Language Processing, Generative AI, Large Language Modeling, Artificial Neural Networks, Artificial Intelligence

      Advanced · Course · 1 - 4 Weeks

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    1…303132…40

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

    • Digital Trends: AI, Metaverse, Persuasive Tech & Blockchain: University of California, Davis
    • 현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇: Northwestern University
    • Intro to TensorFlow em Português Brasileiro: Google Cloud
    • Classify Radio Signals with PyTorch: Coursera Project Network
    • Modeling Time Series and Sequential Data: SAS
    • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
    • Machine Learning e Data Mining in R: Università di Napoli Federico II
    • Generative AI: Foundations and Concepts: Northeastern University
    • H2O ai Large Language Models (LLMs) - Level 1: H2O.ai
    • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs

    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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