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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
      I

      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Convolutional Neural Networks in TensorFlow

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Embedded Software, Automation, Deep Learning, Software Architecture, Computer Graphics, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Visualization (Computer Graphics), Hardware Architecture, Estimation, Algorithms, Machine Learning Methods, Predictive Modeling, Scenario Testing, Spatial Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Neural Models and Machine Translation

      Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Intelligence, Machine Learning Methods, Applied Machine Learning, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Artificial Neural Networks, Machine Learning Algorithms, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

      Skills you'll gain: Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Cloud Management, Artificial Neural Networks, Distributed Computing, Supervised Learning, Virtual Machines, Application Deployment, Continuous Monitoring, Data Security, Scalability

      4.2
      Rating, 4.2 out of 5 stars
      ·
      579 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Data Ethics, Text Mining, PyTorch (Machine Learning Library), Applied Machine Learning, Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Data Processing, Artificial Intelligence, Time Series Analysis and Forecasting, Machine Learning, Data Analysis, Unstructured Data, Data Cleansing, Unified Modeling Language, Machine Learning Algorithms

      Intermediate · Specialization · 3 - 6 Months

    • 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, Artificial Neural Networks, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Learning Deep Learning: Unit 3

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Computer Vision, Data Ethics, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Programming Generative AI

      Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Data Manipulation, Unsupervised Learning, Computer Programming Tools, Performance Tuning

      Intermediate · Specialization · 1 - 4 Weeks

    Searches related to robotics

    robotics engineer
    robotics engineering & applications
    robotics foundations i - robot modelling
    robotics process automation for smart manufacturing
    aerial robotics
    ai for autonomous vehicles and robotics
    fundamentals of robotics & industrial automation
    modern robotics, course 1: foundations of robot motion
    1…101112…43

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

    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
    • Reinforcement Learning: University of Alberta
    • Self-Driving Cars: University of Toronto
    • Neural Models and Machine Translation: Edureka
    • Introduction to Neural Networks and PyTorch: IBM
    • Computational Neuroscience: University of Washington
    • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
    • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
    • Introduction to Deep Learning & Neural Networks with Keras: IBM

    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.

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