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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

    • U

      Universitat Autònoma de Barcelona

      Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?

      Skills you'll gain: Image Analysis, Computer Vision, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Feature Engineering, Supervised Learning, Machine Learning Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      79 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vector Search and Embeddings

      Skills you'll gain: Large Language Modeling, Text Mining, Google Cloud Platform, Cloud API, Artificial Neural Networks

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      SAS

      Using SAS Viya REST APIs with Python and R

      Skills you'll gain: SAS (Software), Data Analysis Software, Advanced Analytics, R Programming, Big Data, Image Analysis, Data Science, Time Series Analysis and Forecasting, Natural Language Processing, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Application Programming Interface (API), Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine Learning with ChatGPT: Image Classification Model

      Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Machine Learning Methods, Data Import/Export, Test Data, Performance Tuning, Artificial Neural Networks, Data Processing, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      31 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Generative Adversarial Network

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      89 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Object Localization with TensorFlow

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      113 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      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

    • S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 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

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      C Programming: Language Foundations - 2

      Skills you'll gain: Computer Programming Tools, C (Programming Language), Programming Principles, Embedded Systems, Program Development, Computer Engineering, Development Environment, Algorithms, Data Structures, Computer Programming, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94 reviews

      Beginner · Course · 1 - 3 Months

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    1…212223…40

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

    • Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?: Universitat Autònoma de Barcelona
    • Machine Learning and NLP Basics: Edureka
    • Vector Search and Embeddings: Google Cloud
    • Using SAS Viya REST APIs with Python and R: SAS
    • Machine Learning with ChatGPT: Image Classification Model: Coursera Project Network
    • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
    • Object Localization with TensorFlow: Coursera Project Network
    • CUDA Advanced Libraries: Johns Hopkins University
    • Machine Learning Using SAS Viya: SAS
    • Introduction to Machine Learning with Python: Arizona State 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

    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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