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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
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      E

      Edureka

      Neural Models and Machine Translation

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

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
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      N

      Northeastern University

      Machine Learning and Data Analytics Part 2

      Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Artificial Neural Networks, Unstructured Data, Deep Learning, Machine Learning Algorithms, Unsupervised Learning, Statistical Analysis, Feature Engineering, Applied Machine Learning, Big Data, Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 1

      Skills you'll gain: Supervised Learning, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Statistical Modeling, Data Science, Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Regression Analysis, Statistical Methods, Classification And Regression Tree (CART), Probability & Statistics, Data Processing, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Text Mining, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Machine Learning Algorithms, Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Decision Tree Learning, Feature Engineering, Classification And Regression Tree (CART), Python Programming, Statistical Modeling, Regression Analysis, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Data Processing, Computer Vision, Applied Machine Learning, Statistical Methods, Keras (Neural Network Library), Data Validation, Medical Imaging, Magnetic Resonance Imaging, Radiology, Deep Learning, Statistics, Tensorflow, Probability & Statistics, Machine Learning Methods, Predictive Modeling, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Machine Learning

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Fundamentals for Non-Data Scientists

      Skills you'll gain: Machine Learning Methods, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Artificial Intelligence, Deep Learning, Data Management, Data Ethics, Artificial Neural Networks

      4.8
      Rating, 4.8 out of 5 stars
      ·
      823 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

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

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing, Large Language Modeling, PyTorch (Machine Learning Library), Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Convolutional Neural Networks in TensorFlow

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

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

      Intermediate · Course · 1 - 4 Weeks

    Searches related to robotics

    robotics engineer
    robotics engineering & applications
    robotics foundations i - robot modelling
    robotics process automation for smart manufacturing
    fundamentals of robotics & industrial automation
    ai for autonomous vehicles and robotics
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    1…8910…41

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

    • Neural Models and Machine Translation: Edureka
    • Machine Learning and Data Analytics Part 2: Northeastern University
    • Statistical Learning for Engineering Part 1: Northeastern University
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • Applied Machine Learning in Python: University of Michigan
    • AI for Medical Diagnosis: DeepLearning.AI
    • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • Build Basic Generative Adversarial Networks (GANs): 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.

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