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    • Robotics

    Robotics Courses

    Robotics courses can help you learn how to design, build, and program intelligent machines that can perform tasks autonomously or with human guidance.

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    Find the Best Robotics Course for Your Goals

    • Status: Free Trial
      Free Trial
      P

      Packt

      Fundamentals of AI, Machine Learning, and Python Programming

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Jupyter, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Neural Network Techniques

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Data Ethics, Artificial Intelligence, Machine Learning, Markov Model, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning: Recurrent Neural Networks with Python

      Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Network Architecture, Data Science, Machine Learning Algorithms, Data Processing, Data Analysis

      Beginner · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Последовательные модели

      Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Applied Machine Learning, Artificial Neural Networks

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      시퀀스 모델

      Skills you'll gain: Natural Language Processing, Generative AI, Keras (Neural Network Library), Large Language Modeling, Tensorflow, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Time Series Analysis and Forecasting

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced CNNs, Transfer Learning, and Recurrent Networks

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Network Architecture, Performance Tuning, Medical Imaging

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine/Deep Learning for Mining Quality Prediction-Enhanced

      Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      TensorFlow for Beginners: Basic Binary Image Classification

      Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Computer Vision, Deep Learning

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Generative AI: Foundations and Concepts

      Skills you'll gain: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Computer Vision, Applied Mathematics, Machine Learning, Network Architecture, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      SAS

      머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

      Skills you'll gain: Machine Learning, Data Ethics, Predictive Modeling, Technical Communication, Predictive Analytics, Supervised Learning, Analytical Skills, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Regression Analysis, Data Validation, Statistical Analysis, Data Visualization, Artificial Neural Networks

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      I

      Imperial College London

      TensorFlow 2 시작하기

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Jupyter

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Deep Learning - Artificial Neural Networks with TensorFlow

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy

      Intermediate · Course · 1 - 3 Months

    Searches related to robotics

    robotics engineer
    robotics engineering & applications
    robotics foundations i - robot modelling
    robotics process automation for smart manufacturing
    aerial robotics
    fundamentals of robotics & industrial automation
    modern robotics, course 1: foundations of robot motion
    cps design for mechatronics, healthcare, ev & robotics
    1…333435…42

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

    • Fundamentals of AI, Machine Learning, and Python Programming: Packt
    • Advanced Neural Network Techniques: Johns Hopkins University
    • Deep Learning: Recurrent Neural Networks with Python: Packt
    • Последовательные модели: DeepLearning.AI
    • 시퀀스 모델: DeepLearning.AI
    • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
    • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera Project Network
    • TensorFlow for Beginners: Basic Binary Image Classification: Coursera Project Network
    • Generative AI: Foundations and Concepts: Northeastern University
    • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS

    Why Learn Robotics?

    Robotics combines engineering, computer science, and artificial intelligence to create machines that sense, move, and interact with their environment. It plays a vital role in fields like manufacturing, healthcare, space exploration, and everyday automation. Learning robotics can help you build problem-solving skills and contribute to innovations that are reshaping the future of work and technology.

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