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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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    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Dikkat Mekanizması

    Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Large Language Modeling, Text Mining

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    DeepLearning.AI

    تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

    Skills you'll gain: Deep Learning, Tensorflow, Data Preprocessing, Model Evaluation, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning Algorithms, Machine Learning, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Simplilearn

    Q Learning in Reinforcement Training Basics

    Skills you'll gain: Reinforcement Learning, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    DeepLearning.AI

    النماذج المتعاقبة

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning Methods, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Michigan

    투자 기술의 혁신: AI

    Skills you'll gain: FinTech, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Analytics, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    DeepLearning.AI

    Modèles de séquence

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Keras (Neural Network Library), Tensorflow, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    P

    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems: An Applied Approach using Deep Learning

    Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    EDUCBA

    Keras Deep Learning Projects with TensorFlow

    Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib

    Beginner · Specialization · 1 - 3 Months

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

  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
  • Dikkat Mekanizması: Google Cloud
  • تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات : DeepLearning.AI
  • Q Learning in Reinforcement Training Basics: Simplilearn
  • النماذج المتعاقبة: DeepLearning.AI
  • 투자 기술의 혁신: AI: University of Michigan
  • Modèles de séquence: DeepLearning.AI
  • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
  • Natural Language Processing - Deep Learning Models in Python: Packt
  • Statistical Learning for Engineering Part 2: Northeastern University

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