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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

    • C

      Coursera Project Network

      Machine Learning with ChatGPT: Image Classification Model

      Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      33 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations and Core Concepts of PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Bases de Inteligencia Artificial para Todos

      Skills you'll gain: Computer Vision, Dashboard, IBM Cloud, Responsible AI, Artificial Intelligence, Data Ethics, Image Analysis, Cloud Computing, Application Development, Interactive Data Visualization, Business Workflow Analysis, Data Manipulation, No-Code Development, ChatGPT, Artificial Neural Networks, Cloud Applications, Self Service Technologies, Application Programming Interface (API), Data Structures, WordPress

      4.7
      Rating, 4.7 out of 5 stars
      ·
      448 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Preview
      Preview
      T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Español

      Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Supervised Learning, Machine Learning Algorithms, Data Strategy, Predictive Modeling, Artificial Neural Networks, Dataflow, Performance Tuning, Data Pipelines, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      448 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Analítica financiera​

      Skills you'll gain: Financial Forecasting, Financial Analysis, Financial Modeling, Analytics, Time Series Analysis and Forecasting, Statistical Analysis, Risk Analysis, Technical Analysis, Predictive Modeling, Risk Management, Data Transformation, Machine Learning Methods, Statistical Methods, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      How Diffusion Models Work

      Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Prompt Engineering, Sampling (Statistics), Artificial Neural Networks, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      270 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Customising your models with TensorFlow 2

      Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Time Series Analysis and Forecasting, Data Transformation, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      192 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Deep Learning with PyTorch : Siamese Network

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Deep Learning for Computer Vision

      Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Classification And Regression Tree (CART), Data Validation, Medical Imaging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      89 reviews

      Advanced · Course · 1 - 4 Weeks

    Searches related to robotics

    robotics engineer
    robotics engineering & applications
    robotics foundations i - robot modelling
    robotics process automation for smart manufacturing
    ai for autonomous vehicles and robotics
    fundamentals of robotics & industrial automation
    autonomous robotics
    modern robotics, course 1: foundations of robot motion
    1…192021…42

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

    • Machine Learning with ChatGPT: Image Classification Model: Coursera Project Network
    • Foundations and Core Concepts of PyTorch: Packt
    • Bases de Inteligencia Artificial para Todos: IBM
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
    • Analítica financiera​: Universidad de los Andes
    • How Diffusion Models Work: DeepLearning.AI
    • Explainable AI (XAI): Duke University
    • Customising your models with TensorFlow 2: Imperial College London
    • Deep Learning with PyTorch : Siamese Network: Coursera Project Network

    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.

    Skills you can learn in Software Development

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    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

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