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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


  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Heavy Manufacturing Process and System

    Skills you'll gain: Manufacturing Processes, Hydraulics, Control Systems, Automation Engineering, Manufacturing Operations, Manufacturing and Production, Production Process, Mechanical Engineering, Equipment Design, Machine Controls, Process Control, Maintenance, Repair, and Facility Services, Thermal Management, Engineering Tolerance, Failure Analysis, Robotics, Materials science, Automation, Quality Assurance

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Model Optimization, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    49 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Generative Model Architectures, Model Evaluation, Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Machine Learning, Scientific Visualization, Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Image Analysis, Model Evaluation, Model Training, Artificial Neural Networks, Fine-tuning, Computer Vision, Model Optimization, Data Preprocessing, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    32 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Algorithms

    4.2
    Rating, 4.2 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Arm

    Introduction to AI

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Deep Learning, Supervised Learning, Data Ethics, Large Language Modeling, Responsible AI, AI literacy, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad Austral

    Introducción al Aprendizaje Profundo

    Skills you'll gain: Supervised Learning, Deep Learning, Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Model Optimization, Logistic Regression, Classification Algorithms, Model Training, Regression Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Industrial Applications of AI

    Skills you'll gain: Machine Learning Algorithms, Computer Vision, Applied Machine Learning, Image Analysis, Civil Engineering, Classification Algorithms, AI Enablement, Artificial Intelligence, Machine Learning Software, Electrical Substation, Machine Learning, AI literacy, Tensorflow, Construction Engineering, Convolutional Neural Networks, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electric Power Systems, Electrical Engineering

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

    Skills you'll gain: Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, NumPy, Jupyter

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Heavy Manufacturing Process and System: L&T EduTech
  • Deep Learning with Python: CNN, ANN & RNN: EDUCBA
  • Explainable Machine Learning (XAI): Duke University
  • Building and Training Neural Networks with PyTorch: Packt
  • Advanced PyTorch Techniques and Applications: Packt
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Introduction to Neural Networks: Johns Hopkins University
  • Introduction to AI: Arm
  • Introducción al Aprendizaje Profundo: Universidad Austral
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs

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