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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: 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

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Art and Science of Machine Learning em Português Brasileiro

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Applied Machine Learning, Performance Tuning, Dimensionality Reduction, Machine Learning Algorithms, Supervised Learning, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

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

      Simplilearn

      AI & Deep Learning Concepts and Applications

      Skills you'll gain: Artificial Intelligence, Tensorflow, Machine Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Supervised Learning, Data Ethics, Algorithms, Unsupervised Learning, Emerging Technologies, Natural Language Processing, Digital Transformation, Reinforcement Learning, Data Processing, Business Ethics

      Beginner · Course · 1 - 4 Weeks

    • 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

    • Status: New
      New
      M

      MathWorks

      Designing and Simulating Physical Models

      Skills you'll gain: Model Based Systems Engineering, Systems Integration, Engineering Design Process, Simulation and Simulation Software, Mathematical Modeling, Engineering Analysis, Matlab, Engineering Software, Engineering, Mechanical Engineering, Electrical Engineering, Control Systems

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Computer Vision with TensorFlow

      Skills you'll gain: Tensorflow, Computer Vision, Machine Learning Methods, Keras (Neural Network Library), Development Environment, Image Analysis, Google Cloud Platform, Deep Learning, Artificial Neural Networks

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      O

      Oracle

      Oracle Cloud Infrastructure AI Foundations

      Skills you'll gain: Generative AI, Oracle Cloud, Large Language Modeling, Artificial Intelligence, Supervised Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Unsupervised Learning, Computer Vision, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • 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

    • Status: Free Trial
      Free Trial
      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

    • 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

    • Status: Free Trial
      Free Trial
      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

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    1…313233…40

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

    • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
    • Art and Science of Machine Learning em Português Brasileiro: Google Cloud
    • Deep Learning with Real-World Projects: Packt
    • AI & Deep Learning Concepts and Applications: Simplilearn
    • Recommender Systems: Sungkyunkwan University
    • Designing and Simulating Physical Models: MathWorks
    • Introduction to Computer Vision with TensorFlow: Google Cloud
    • Oracle Cloud Infrastructure AI Foundations: Oracle
    • Deep-Dive into Tensorflow Activation Functions: Coursera Project Network
    • AI Principles with Edge Computing: L&T EduTech

    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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