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
MathWorks
Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Model Optimization, Predictive Modeling, Performance Tuning
University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra
Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture
Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Model Training, Deep Learning, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Machine Learning Algorithms, Transfer Learning, Anomaly Detection, Geospatial Information and Technology, Traffic Flow Optimization, Artificial Intelligence and Machine Learning (AI/ML), Algorithms
DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Generative AI, Embeddings, Model Optimization, Network Architecture
What brings you to Coursera today?
Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
Skills you'll gain: Vision Transformer (ViT), Generative AI, OpenAI API, ChatGPT, Fine-tuning, Generative Model Architectures, Responsible AI, Retrieval-Augmented Generation, Large Language Modeling, Natural Language Processing, AI powered creativity, Multimodal Prompts, Hugging Face, OpenAI, AI Orchestration, Transfer Learning, Generative AI Agents, Embeddings, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML)
John Wiley & Sons
Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Ethics, Image Analysis, AI Personalization, Model Training, Convolutional Neural Networks, Model Optimization, Machine Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Computer Vision, Supervised Learning, Data Preprocessing, Program Evaluation, Unsupervised Learning, Python Programming, Data Science, Algorithms
Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, File I/O, Automation, Digital Signal Processing, Anomaly Detection, Geospatial Information and Technology, Engineering Practices, Spatial Data Analysis, Medical Imaging, Spatial Analysis, Mathematical Software, Data Preprocessing, Environmental Monitoring, File Management, Quantitative Research, Scientific Visualization, Data Import/Export
Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)
British Standards Institution
Skills you'll gain: Statistical Methods, Statistical Hypothesis Testing, Performance Testing, Statistical Analysis, Supervised Learning, Machine Learning, Data Validation, Statistical Reporting, Technical Communication, Data Quality, Performance Analysis, Test Data, Applied Machine Learning, Probability & Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Model Optimization, Model Training, Computer Vision, Deep Learning, Cloud-Based Integration, Data Preprocessing, Project Implementation, Artificial Neural Networks, Design, Environment
What brings you to Coursera today?
Best Image Classification courses from MathWorks
Top-rated Image Classification courses offered by MathWorks on Coursera.
- Deep Learning for Computer VisionMathWorksBeginner1 - 3 MonthsMathWorks
- Computer Vision for Engineering and ScienceMathWorksIntermediate1 - 3 MonthsMathWorks
- Image Processing for Engineering and ScienceMathWorksBeginner1 - 3 MonthsMathWorks
Best Image Classification certificate programs
Earn a certificate in Image Classification from top universities and companies.
- Computer VisionUniversity of Colorado BoulderIntermediate1 - 3 MonthsSpecialization
- Transformers for NLP and Computer VisionPacktIntermediate3 - 6 MonthsSpecialization
Best Image Classification courses for beginners
Top-rated beginner-friendly Image Classification courses with no prerequisites.
- Basic Image Classification with TensorFlowCourseraBeginnerLess Than 2 HoursNo prerequisites
- Scikit-Learn For Machine Learning Classification ProblemsCourseraBeginnerLess Than 2 HoursNo prerequisites
