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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


  • Status: Free Trial
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    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    Exploratorium

    Tinkering Fundamentals: Motion and Mechanisms

    Skills you'll gain: Developing Training Materials, Collaboration, Creativity, Mechanics, Research, Creative Problem-Solving, Experimentation, Innovation, Mechanical Design, Aesthetics, Construction

    4.8
    Rating, 4.8 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    AI Materials

    Skills you'll gain: AI Enablement, Artificial Intelligence, Materials science, Artificial Neural Networks, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Process Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    LearnQuest

    DevOps and Build Automation with Python

    Skills you'll gain: Containerization, Package and Software Management, Software Testing, Docker (Software), Development Environment, Unit Testing, Scripting, Test Automation, Continuous Integration, IT Automation, Integration Testing, DevOps, Python Programming, Selenium (Software), Web Scraping

    3.9
    Rating, 3.9 out of 5 stars
    ·
    60 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
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    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California, Berkeley

    Master of Advanced Study in Engineering

    Skills you'll gain: User Research, Medical Imaging, File I/O, Materials science, Exploratory Data Analysis, Java Programming, Semiconductors, Medical Devices, Finite Element Methods, Teamwork, Energy and Utilities, Control Systems, Mechanics, Robotics, Radiation Protection, Sustainable Engineering, Structural Engineering, Vibrations, Linear Algebra, Engineering Analysis

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Generative Adversarial Networks (GANs)

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Optimize PyTorch: Build and Accelerate Layers

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    EDUCBA

    Analyze Video Data Using OpenCV and Python

    Skills you'll gain: Machine Learning Methods, Motion Graphics

    Beginner · Course · 1 - 4 Weeks

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

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Tinkering Fundamentals: Motion and Mechanisms: Exploratorium
  • AI Materials: Korea Advanced Institute of Science and Technology(KAIST)
  • DevOps and Build Automation with Python: LearnQuest
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Master of Advanced Study in Engineering: University of California, Berkeley
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Systematic ML Optimization: Coursera
  • Fundamentals of Deep Learning: Whizlabs

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