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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


  • N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Supervised Learning, Linear Algebra, Calculus

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep-Dive into Tensorflow Activation Functions

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    TensorFlow for Beginners: Basic Binary Image Classification

    Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

    Beginner · Guided Project · Less Than 2 Hours

  • U

    Universitat de Barcelona

    Nanotecnología para un futuro sostenible

    Skills you'll gain: Sustainable Development, Sustainable Technologies, Materials science, Educational Materials, Engineering, Scientific, and Technical Instruments, Robotics, Chemistry, Environmental Issue, Solution Design, Biomedical Engineering, Emerging Technologies, Innovation, Electronics, Healthcare Ethics, Safety Standards, Experimentation, Creative Thinking, Physics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • S

    Simplilearn

    Attention Mechanisms and Transformer Models Course

    Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, ChatGPT, Vision Transformer (ViT), Prompt Engineering, Artificial Intelligence, Artificial Neural Networks, Transfer Learning, Deep Learning, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • U

    University of the Arts London

    Introduction to Creative AI

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Creativity, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Creative Problem-Solving, Creative Design, Machine Learning Methods, Data Ethics, Deep Learning, Critical Thinking

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis

    Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Learning Deep Learning

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts

    Intermediate · Specialization · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI、機械学習、ディープラーニングのための TensorFlow 入門

    Skills you'll gain: Tensorflow, Computer Vision, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • E

    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
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • F

    Fundação Instituto de Administração

    Fundamentos de Inteligência Artifical em Marketing

    Skills you'll gain: Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Marketing, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Machine Learning, Innovation, Trend Analysis, Brand Management, Deep Learning, Artificial Intelligence, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Neuronale Netze und Deep Learning: DeepLearning.AI
  • Deep-Dive into Tensorflow Activation Functions: Coursera
  • TensorFlow for Beginners: Basic Binary Image Classification: Coursera
  • Nanotecnología para un futuro sostenible: Universitat de Barcelona
  • Attention Mechanisms and Transformer Models Course: Simplilearn
  • Introduction to Creative AI: University of the Arts London
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Learning Deep Learning: Pearson
  • AI、機械学習、ディープラーニングのための TensorFlow 入門: DeepLearning.AI

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