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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.

Popular Robotics Courses and Certifications


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    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Fine-tuning, Embeddings, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Data Preprocessing, Model Optimization, Model Training

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    NLP in Engineering: Concepts & Real-World Applications

    Skills you'll gain: Model Training, Natural Language Processing, Embeddings, Model Optimization, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Machine Learning, Artificial Intelligence, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Attention Mechanism - Bahasa Indonesia

    Skills you'll gain: Model Optimization, Machine Learning Methods, Natural Language Processing, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

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    Edureka

    Generative AI Models and GPU Systems

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning

    Intermediate · Course · 3 - 6 Months

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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

    Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Model Training, Model Optimization, Cloud Deployment, Deep Learning, Data Preprocessing, Applied Machine Learning, Scalability, Data Processing, AI Workflows, Artificial Neural Networks, Data Transformation

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

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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

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Последовательные модели

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Artificial Neural Networks, Embeddings, Data Processing

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Master AI Skills: Analyze, Build & Deploy Systems

    Skills you'll gain: Computer Vision, Artificial Intelligence, Image Analysis, Natural Language Processing, Generative AI, AI powered creativity, AI literacy, Large Language Modeling, Model Deployment, Amazon Bedrock, AI Workflows, AI Integrations, AI Security, Robotics, Application Deployment, Data Processing, Applied Machine Learning, Reinforcement Learning, Scalability

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Analyze Video Data Using OpenCV and Python

    Skills you'll gain: Classification Algorithms, File I/O

    Beginner · Course · 1 - 4 Weeks

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

  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
  • NLP in Engineering: Concepts & Real-World Applications: Northeastern University
  • Attention Mechanism - Bahasa Indonesia: Google Cloud
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Generative AI Models and GPU Systems: Edureka
  • Deep Learning with Keras and Practical Applications: Packt
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Dikkat Mekanizması: Google Cloud
  • Последовательные модели: DeepLearning.AI

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