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Image Classification Courses

Image classification courses can help you learn techniques for identifying and categorizing images, building neural networks, and implementing convolutional neural networks (CNNs). You can also develop skills in data preprocessing, model evaluation, and performance optimization. Many courses introduce tools like TensorFlow and PyTorch, that support training models and deploying AI applications.

Popular Image Classification Courses and Certifications


  • Status: Free
    Free
    C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Rutgers the State University of New Jersey

    Demand Analytics

    Skills you'll gain: Demand Planning, Customer Demand Planning, Regression Analysis, Data Collection, Supply Chain Planning, Statistical Analysis, Forecasting, Statistical Modeling, Marketing Analytics, Feature Engineering, Predictive Analytics, Trend Analysis, Predictive Modeling, Time Series Analysis and Forecasting, Data Preprocessing, Exploratory Data Analysis, Scatter Plots, Model Evaluation, Data Visualization, Data Visualization Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    3D Reconstruction - Single Viewpoint

    Skills you'll gain: Computer Graphics, Image Analysis, 3D Modeling, Image Quality, Medical Imaging, Computer Vision, Automation Engineering, Mathematical Modeling, Estimation, Algorithms

    5
    Rating, 5 out of 5 stars
    ·
    42 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to AI for Cybersecurity

    Skills you'll gain: AI Security, Cybersecurity, Cyber Attacks, Fraud detection, Classification Algorithms, Email Security, Threat Detection, Jupyter, Authentications, Machine Learning Algorithms, Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    103 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Michigan State University

    Art for Games

    Skills you'll gain: Unity Engine, Animations, 3D Modeling, Storyboarding, Color Theory, Animation and Game Design, 3D Assets, Video Game Development, Game Design, Adobe Photoshop, Autodesk Maya, Computer Graphics, Visualization (Computer Graphics), Design Elements And Principles, Conceptual Design, Graphics Software, Photo Editing, Computer Graphic Techniques, Graphical Tools, Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    441 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning for Supply Chains

    Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Model Evaluation, Data Preprocessing, Operations Research, Model Training, NumPy, Demand Planning, Feature Engineering, Supervised Learning, Supply Chain, Applied Machine Learning, Inventory Management, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis

    3.4
    Rating, 3.4 out of 5 stars
    ·
    86 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Continuous Integration and Continuous Delivery (CI/CD)

    Skills you'll gain: CI/CD, Continuous Integration, Jenkins, Devops Tools, DevOps, Infrastructure as Code (IaC), Continuous Delivery, OpenShift, Git (Version Control System), GitHub, IT Automation, Kubernetes, Containerization, Automation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    259 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    The Full Stack

    Skills you'll gain: Full-Stack Web Development, Front-End Web Development, Django (Web Framework), Web Design and Development, Scalability, HTML and CSS, Cloud Hosting, Responsive Web Design, Web Development, Web Applications, Cloud Deployment, Back-End Web Development, MySQL, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Cloud Computing, Application Programming Interface (API), Restful API, Virtual Environment, Javascript

    4.6
    Rating, 4.6 out of 5 stars
    ·
    238 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    305 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cluster Analysis in Data Mining

    Skills you'll gain: Unsupervised Learning, Data Mining, Applied Machine Learning, Machine Learning Algorithms, Spatial Analysis, Machine Learning Methods, Model Evaluation, Statistical Methods, Taxonomy, Exploratory Data Analysis, Algorithms, Verification And Validation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    411 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular image classification courses

  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Demand Analytics: Rutgers the State University of New Jersey
  • 3D Reconstruction - Single Viewpoint: Columbia University
  • Introduction to AI for Cybersecurity: Johns Hopkins University
  • Art for Games: Michigan State University
  • Machine Learning for Supply Chains: LearnQuest
  • Continuous Integration and Continuous Delivery (CI/CD): IBM
  • The Full Stack: Meta
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Cluster Analysis in Data Mining: University of Illinois Urbana-Champaign

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