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  • Robotics Engineer

Robotics Engineer Courses

Robotics engineer courses can help you learn programming for robotic systems, control theory, sensor integration, and machine learning applications. You can build skills in designing robotic components, troubleshooting systems, and implementing automation solutions. Many courses introduce tools like ROS (Robot Operating System), MATLAB for simulations, and CAD software for designing parts, showing how these skills come together to create functional robots that can perform tasks in various environments.


Popular Robotics Engineer Courses and Certifications


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    University of Leeds

    How to Get Into Cloud Computing

    Skills you'll gain: Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Solutions, Cloud Development, Cloud Applications, Cloud Services, Cloud Computing Architecture, Infrastructure As A Service (IaaS), Software As A Service, Platform As A Service (PaaS), Scalability

    Beginner · Course · 1 - 4 Weeks

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    Northwestern University

    현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션

    Skills you'll gain: Control Systems, Robotics, Simulation and Simulation Software, Automation Engineering, Program Development, Mathematical Software, Mathematical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Introduction to RNN and DNN

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science

    Beginner · Course · 1 - 4 Weeks

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    Edureka

    Database Design and Operational Business Intelligence

    Skills you'll gain: Data Management, Data Manipulation

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Advanced Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy

    Advanced · Course · 3 - 6 Months

  • Status: Free Trial
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    Google Cloud

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

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Model Deployment, Data Transformation, Deep Learning, Artificial Neural Networks, Application Programming Interface (API)

    3.4
    Rating, 3.4 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

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    LearnKartS

    Database, Big Data, and DevOps Services in GCP

    Skills you'll gain: Site Reliability Engineering, Google Cloud Platform, Kubernetes, Real Time Data, Database Management, Big Data, Data Infrastructure, Performance Tuning, Continuous Deployment, Data Pipelines, Databases, Containerization, Cloud Applications, Data Processing, DevOps, Scalability, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    Universidad Austral

    Optimización de Redes Neuronales Profundas

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

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

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

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Data Preprocessing, Data Pipelines, Cloud Deployment, MLOps (Machine Learning Operations), Data Cleansing, Deep Learning, Machine Learning Methods, Data Transformation, Artificial Neural Networks, Model Evaluation, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

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    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
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    11 reviews

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

Searches related to robotics engineer

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1…676869…81

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

  • How to Get Into Cloud Computing: University of Leeds
  • 현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션: Northwestern University
  • Introduction to RNN and DNN: Packt
  • Database Design and Operational Business Intelligence: Edureka
  • Advanced Generative Adversarial Networks (GANs): Packt
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
  • Database, Big Data, and DevOps Services in GCP: LearnKartS
  • Optimización de Redes Neuronales Profundas: Universidad Austral
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Español: Google Cloud
  • Learning Deep Learning: Unit 1: Pearson

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