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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

    • S

      Sungkyunkwan University

      Recommender Systems

      Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, AI Personalization, Data Mining, Unsupervised Learning, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Analysis

      Intermediate · Course · 1 - 4 Weeks

    • L

      L&T EduTech

      AI Principles with Edge Computing

      Skills you'll gain: Artificial Intelligence, Internet Of Things, Unsupervised Learning, Python Programming, Deep Learning, Applied Machine Learning, Machine Learning, Image Analysis, Artificial Neural Networks, Reinforcement Learning, Computer Vision, Supervised Learning, Emerging Technologies, Solution Architecture, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Deep-Dive into Tensorflow Activation Functions

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Analysis, Debugging, Machine Learning, Network Architecture, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Machine Learning and Emerging Technologies in Cybersecurity

      Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Incident Response, Applied Machine Learning, Network Security, Machine Learning Algorithms, Machine Learning, Unsupervised Learning, Supervised Learning, Deep Learning, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - Français

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Pipelines, Application Deployment, Artificial Neural Networks, Machine Learning, Scalability, Application Programming Interface (API), Data Transformation

      3.4
      Rating, 3.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      L

      LearnKartS

      AWS AI Practitioner

      Skills you'll gain: Prompt Engineering, Large Language Modeling, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Computer Vision, AWS Identity and Access Management (IAM), Natural Language Processing, Amazon Web Services, Supervised Learning, Data Governance, OpenAI, Machine Learning Algorithms, Identity and Access Management, Feature Engineering, Machine Learning, Artificial Neural Networks, ChatGPT, Data Ethics, Data Management

      Beginner · Specialization · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Fundamentos de Inteligência Artifical em Marketing

      Skills you'll gain: Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, MarTech, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Machine Learning, Innovation, Trend Analysis, Brand Management, Deep Learning, Artificial Intelligence, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Keras Deep Learning & Generative Adversarial Networks (GAN)

      Skills you'll gain: Keras (Neural Network Library), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Exploratory Data Analysis, Predictive Modeling, Deep Learning, Matplotlib, Artificial Intelligence, Pandas (Python Package), Python Programming, NumPy, Data Processing, Data Analysis, Artificial Neural Networks, Programming Principles, Classification And Regression Tree (CART), Regression Analysis, Data Manipulation, Tensorflow

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Embedding Models: From Architecture to Implementation

      Skills you'll gain: Large Language Modeling, Artificial Neural Networks, Deep Learning, Semantic Web, Natural Language Processing, Text Mining, Applied Machine Learning

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      N

      Northeastern University

      Machine Learning for Engineers: Algorithms and Applications

      Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Art and Science of Machine Learning 日本語版

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Applied Machine Learning, Performance Tuning, Deep Learning, Machine Learning, Dimensionality Reduction, Google Cloud Platform

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to robotics

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    modern robotics, course 1: foundations of robot motion
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    1…313233…40

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

    • Recommender Systems: Sungkyunkwan University
    • AI Principles with Edge Computing: L&T EduTech
    • Deep-Dive into Tensorflow Activation Functions: Coursera Project Network
    • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
    • Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
    • AWS AI Practitioner: LearnKartS
    • Fundamentos de Inteligência Artifical em Marketing: Fundação Instituto de Administração
    • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
    • Embedding Models: From Architecture to Implementation: 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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