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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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    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Artificial Neural Networks, Probability & Statistics, Bayesian Statistics, Probability Distribution, Deep Learning, Machine Learning, Supervised Learning, Statistical Methods, Data Preprocessing, Model Evaluation

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Artificial Neural Networks, Bayesian Statistics, Statistical Machine Learning, Probability Distribution, Probability & Statistics, Machine Learning Methods, Model Evaluation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Modeling, Logistic Regression, Machine Learning Algorithms, Statistical Methods, Classification Algorithms, Deep Learning, Regression Analysis, Statistical Inference, Artificial Intelligence

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Configuration Management, Image Analysis, Multimodal Prompts, Debugging, Experimentation, Computer Vision, Theoretical Computer Science, Data Visualization, Deep Learning, Visualization (Computer Graphics), Algorithms, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Risk Analysis, Root Cause Analysis, Machine Learning, Performance Analysis

    Intermediate · Specialization · 3 - 6 Months

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    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Autoencoders, Applied Machine Learning, Tensorflow, Transfer Learning, Model Evaluation, Computer Vision, Machine Learning, Supervised Learning, Machine Learning Algorithms, Regression Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 3 Months

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    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    839 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    The Road to Autonomy: Exploring EV Technologies

    Skills you'll gain: Electric Power Systems, Safety Standards, Safety and Security, Emerging Technologies, Control Systems, Global Positioning Systems, Environmental Issue, Computer Vision, Artificial Intelligence, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    12 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Image Analysis, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Regression Analysis, Supervised Learning, Classification Algorithms, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

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    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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    The University of Edinburgh

    Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

    Skills you'll gain: Artificial Intelligence, Psychology, Human Learning, Anthropology, Human Factors, Science and Research, Robotics

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Mixed · Course · 1 - 3 Months

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    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Tensorflow, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Transfer Learning, Recurrent Neural Networks (RNNs), Generative AI, Time Series Analysis and Forecasting, Reinforcement Learning, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 3 Months

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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
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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    MathWorks

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Unsupervised Learning, Supervised Learning, Control Systems, Simulations

    4.6
    Rating, 4.6 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Machine Learning with Neural Networks: Dartmouth College
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Systematic ML Optimization: Coursera
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • The Road to Autonomy: Exploring EV Technologies: Coursera
  • Introduction to Neural Networks and PyTorch: IBM
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences: The University of Edinburgh
  • Deep Learning with Keras and Tensorflow: IBM

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