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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


  • E

    EDUCBA

    Apply Neural Networks for Car Price Prediction

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Generative AI Foundations for Absolute Beginners

    Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, Machine Learning, Artificial Neural Networks, Computer Science, Deep Learning, Machine Learning Algorithms

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning, NLP, and AI Applications

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Embeddings, Data Preprocessing, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Computer Vision, Model Evaluation, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Matlab, Mathematical Modeling, Computational Thinking, Recurrent Neural Networks (RNNs), Applied Mathematics, Physiology, Biology, Linear Algebra, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    ChatGPT and Prompt Engineering With Advanced Data Analysis

    Skills you'll gain: AI Workflows, Artificial Neural Networks

    Intermediate · Course · 3 - 6 Months

  • U

    UiPath

    Agentic prompt engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Agentic systems, Business Process Automation, Prompt Engineering Tools, Automation, Multimodal Prompts, Generative AI Agents, LLM Application, Responsible AI, AI Workflows, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    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
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Apply Neural Networks for Car Price Prediction: EDUCBA
  • Generative AI Foundations for Absolute Beginners: Packt
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Deep Learning, NLP, and AI Applications: Packt
  • Systematic ML Optimization: Coursera
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Deep Learning & Modern AI Architectures: Packt
  • Computational Neuroscience: University of Washington
  • ChatGPT and Prompt Engineering With Advanced Data Analysis: Packt
  • Agentic prompt engineering: UiPath

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