Image Recognition Courses and Certifications

Computer Vision in Microsoft Azure

132 ratings at Coursera

Explore image analysis, object detection, and facial recognition using Azure's Computer Vision and Custom Vision services. Learn to extract text from images and process receipts with AI.

• Coursera
• 8 hours 23 minutes
• Self-Paced
• Paid Course

Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2025!

1782 ratings at Udemy

Next-Gen Computer Vision: YOLOv8, DINO-GPT4V, OpenCV4, Face Recognition, GenerativeAI, Diffusion Models & Transformers

• Udemy
• 1 day 4 hours 32 minutes
• Self-Paced
• Paid Course

MathWorks Career Certificate

Computer Vision for Engineering and Science

97 ratings at Coursera

Learn essential computer vision techniques using MATLAB to detect objects, classify images, track motion, and more. Gain practical skills for engineering and scientific applications in autonomous systems and medical imaging.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

PyTorch: Fundamentals

90 ratings at Coursera

Master PyTorch fundamentals through hands-on coding, building neural networks from single neurons to CNNs, managing datasets, and implementing complete ML workflows with confidence.

• Coursera
• 1 day 10 minutes
• Self-Paced
• Paid Course

Coursera

Facial Expression Recognition with PyTorch

60 ratings at Coursera

Learn to classify facial expressions using PyTorch, including data augmentation, training loop creation, and model application on input images.

• Coursera
• 1 hour 37 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Deep Learning with Python: CNN, ANN & RNN

47 ratings at Coursera

Master CNNs, ANNs, and RNNs through hands-on projects in image recognition, churn prediction, and stock forecasting using TensorFlow and Keras for real-world AI applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Machine Learning with ChatGPT: Image Classification Model

35 ratings at Coursera

Build a machine learning model for image classification using ChatGPT. Learn fine-tuning, data preparation, model architecture, training, and evaluation with the MNIST database of handwritten digits.

• Coursera
• 2 hours 41 minutes
• Self-Paced
• Paid Course

MathWorks Career Certificate

Deep Learning for Computer Vision

35 ratings at Coursera

Hands-on specialization in deep learning for computer vision, covering image classification, object detection, and advanced techniques. Gain practical skills using MATLAB for real-world applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Vector Search with NoSQL Databases using MongoDB & Cassandra

32 ratings at Coursera

Learn to implement vector searches in MongoDB and Cassandra for AI applications. Gain skills in storing, indexing, and querying vectors to build efficient text similarity and recommendation systems.

• Coursera
• 4 hours 53 minutes
• Self-Paced
• Paid Course

MathWorks

Machine Learning for Computer Vision

23 ratings at Coursera

Learn to classify images and detect objects using machine learning in MATLAB. Apply the full workflow from data preparation to result evaluation, focusing on street sign classification and material defect detection.

• Coursera
• 11 hours 53 minutes
• Self-Paced
• Paid Course

MathWorks

Introduction to Deep Learning for Computer Vision

19 ratings at Coursera

Learn to train and evaluate deep learning models for image classification, from medical analysis to traffic sign recognition, using hands-on projects and MATLAB software.

• Coursera
• 8 hours 42 minutes
• Self-Paced
• Paid Course

Generative AI for Java and Spring Development

19 ratings at Coursera

Master Java and Spring Framework for AI development, building intelligent applications that generate text, images, and recommendations using tools like Deeplearning4j and Spring AI.

• Coursera
• 8 hours 42 minutes
• Self-Paced
• Paid Course

EDUCBA

Master CNNs with Python: Build, Train & Evaluate Models

19 ratings at Coursera

Dive into CNN development with Python to design, build, train and evaluate deep learning models for image classification through hands-on projects and real-world applications.

• Coursera
• 5 hours 37 minutes
• Self-Paced
• Paid Course

Advanced AI Techniques for the Supply Chain

15 ratings at Coursera

Explore advanced ML techniques for supply chain optimization, including neural networks for demand prediction and image classification for quality control.

• Coursera
• 22 hours 9 minutes
• Self-Paced
• Paid Course

Packt

Building and Training Neural Networks with PyTorch

13 ratings at Coursera

Master PyTorch for neural networks: classification, CNNs, object detection, style transfer, and RNNs. Hands-on exercises in data preparation, model building, and advanced techniques for image and audio processing.

• Coursera
• 7 hours 52 minutes
• Self-Paced
• Paid Course