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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

      Universidad Nacional Autónoma de México

      Arduino y algunas aplicaciones

      Skills you'll gain: Automation, Internet Of Things, Prototyping, Integrated Development Environments, Electronic Components, Embedded Systems, Electronics, Computer Programming, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      625 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Internet of Things: Sensing and Actuation From Devices

      Skills you'll gain: Internet Of Things, Embedded Software, Embedded Systems, Telecommunications, Peripheral Devices, Computer Hardware, Wireless Networks, Digital Communications, Prototyping

      4.5
      Rating, 4.5 out of 5 stars
      ·
      158 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Linear Algebra, Data Cleansing, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      787 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Engineering with LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Natural Language Processing, Generative AI Agents, PyTorch (Machine Learning Library), Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Application Development, Artificial Intelligence, Feature Engineering, Document Management, Machine Learning Methods, Jupyter, Data Processing, Applied Machine Learning, Performance Tuning, Application Frameworks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      421 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Fundamentals

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Data Ethics, Large Language Modeling, Leadership and Management, Business Leadership, Strategic Leadership, Business Ethics, Legal Risk, IBM Cloud, Google Cloud Platform, Artificial Intelligence, Program Development, Artificial Neural Networks, Business Development, Deep Learning, Content Creation, Business Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Unsupervised Learning, Artificial Intelligence, Information Privacy, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      الذكاء الاصطناعي للجميع

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Business Analysis, Data Ethics, Machine Learning, Data Science, Business Strategy, Data Literacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      910 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Artificial Intelligence: an Overview

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Intellectual Property, Ethical Standards And Conduct, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Legal Risk, Artificial Intelligence, Reinforcement Learning, General Data Protection Regulation (GDPR), Dimensionality Reduction, Governance, Cloud Platforms, Deep Learning, Law, Regulation, and Compliance, Computer Science, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      612 reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to robotics

    robotics engineer
    robotics engineering & applications
    robotics and autonomous systems
    robotics process automation for smart manufacturing
    how to get into robotics
    aerial robotics
    fundamentals of robotics & industrial automation
    cps design for mechatronics, healthcare, ev & robotics
    1…678…40

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

    • Arduino y algunas aplicaciones: Universidad Nacional Autónoma de México
    • Internet of Things: Sensing and Actuation From Devices: University of California San Diego
    • Natural Language Processing: DeepLearning.AI
    • AI Product Management: Duke University
    • IA Para Todos (Español): DeepLearning.AI
    • Generative AI Engineering with LLMs: IBM
    • Generative AI Fundamentals: IBM
    • Deep Learning: DeepLearning.AI
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • الذكاء الاصطناعي للجميع: DeepLearning.AI

    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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