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Robotics Courses

Robotics courses can help you learn programming for robot control, sensor integration, and mechanical design principles. You can build skills in automation, system troubleshooting, and algorithm development for tasks like navigation and object recognition. Many courses introduce tools such as ROS (Robot Operating System), CAD software for design, and simulation platforms that allow you to test your robotic systems in virtual environments.


More to explore:

Popular Robotics Courses and Certifications


  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

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

    Intermediate · Course · 1 - 3 Months

  • R

    Rutgers the State University of New Jersey

    Robotic Process Automation (RPA) in Accounting and Auditing

    Skills you'll gain: Robotic Process Automation, Business Process Automation, Automation, Workflow Management, Artificial Intelligence, Accounting and Finance Software, Excel Macros, Emerging Technologies, Digital Transformation, Natural Language Processing, Data Manipulation, Unstructured Data, Scalability

    4.1
    Rating, 4.1 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    Universidad de Palermo

    Inteligencia Artificial Aplicada a la Construcción

    Skills you'll gain: Civil Engineering, Sustainable Architecture, Building Design, Innovation, Sustainable Design, Structural Engineering, Robotics, 3D Modeling

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

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

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

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

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Toronto

    Visual Perception for Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Neural Networks, Robotics, Machine Learning Algorithms, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

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

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • H

    Hebrew University of Jerusalem

    Synapses, Neurons and Brains

    Skills you'll gain: Electrophysiology, Artificial Neural Networks, Neurology, Computer Science, Cell Biology, Physiology, Psychology, Basic Electrical Systems, Network Analysis, Computational Logic, Simulation and Simulation Software, Mathematical Modeling, Biology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Toronto

    Motion Planning for Self-Driving Cars

    Skills you'll gain: Traffic Flow Optimization, Machine Controls, Automation, Robotics, Graph Theory, Algorithms, Computer Vision, Mathematical Modeling, Data Mapping, Predictive Modeling, Data Structures, Spatial Data Analysis, Control Systems, Estimation, Applied Mathematics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    486 reviews

    Advanced · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    947 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Neural Networks and PyTorch: IBM
  • Robotic Process Automation (RPA) in Accounting and Auditing: Rutgers the State University of New Jersey
  • Inteligencia Artificial Aplicada a la Construcción: Universidad de Palermo
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Visual Perception for Self-Driving Cars: University of Toronto
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Synapses, Neurons and Brains : Hebrew University of Jerusalem
  • Motion Planning for Self-Driving Cars: University of Toronto

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Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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