Convolutional Neural Networks (CNN) Courses and Certifications

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

1811 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

Coursera

Explainable AI: Scene Classification and GradCam Visualization

59 ratings at Coursera

Train a CNN with residual blocks to classify scenery in images, then apply Grad-Cam to visualize and explain how the model reaches its predictions.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Coursera

Object Localization with TensorFlow

117 ratings at Coursera

Build and train a convolutional neural network with TensorFlow's Keras API that both classifies emojis and predicts their position in images through two model outputs.

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

Deep Learning with PyTorch

107 ratings at Coursera

Build and train neural networks in PyTorch: logistic and softmax regression, shallow and deep nets with dropout and batch norm, and CNNs with ResNet18 transfer learning.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

PyTorch: Fundamentals

107 ratings at Coursera

Build and train neural networks in PyTorch: work with tensors, Datasets and DataLoaders, custom transform pipelines, GPU acceleration, and CNNs with dropout and weight decay.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Deep Learning

36 ratings at Coursera

Learn how deep networks work and are trained: backpropagation, CNNs, RNNs and LSTMs, GANs and diffusion models, transformers, model compression, and transfer learning.

• Coursera
• 9 weeks, 6 hours a week
• Self-Paced
• Paid Course

Convolutional Neural Networks for Visual Recognition

7 ratings

This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification.

• YouTube
• 20 hours
• Self-Paced
• Free Video

Computer Vision Masterclass

1483 ratings at Udemy

Learn in practice everything you need to know about Computer Vision! Build projects step by step using Python!

• Udemy
• 1 day 1 hour 29 minutes
• Self-Paced
• Paid Course

Advanced Machine Learning and its Applications

Develop and evaluate advanced AI solutions in Python using data preprocessing, neural network optimization, deep learning, and generative models including CNNs, LSTMs, GANs, and diffusion models.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Practical AI with Python and Reinforcement Learning

1285 ratings at Udemy

Learn how to use Reinforcement Learning techniques to create practical Artificial Intelligence programs!

• Udemy
• 1 day 2 hours 25 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Deep Learning with Python: CNN, ANN & RNN

49 ratings at Coursera

Build, train and evaluate CNNs, ANNs and LSTM-based RNNs in TensorFlow and Keras through image recognition, customer churn prediction and stock price forecasting projects.

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

EDUCBA

Deep Learning with TensorFlow: Build Neural Networks

22 ratings at Coursera

Build and train neural networks in TensorFlow: perceptrons, parameter initialization, CNNs for image data, dogs-vs-cats classification, and transfer learning with pre-trained models.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Deep Learning with PyTorch : GradCAM

21 ratings at Coursera

Implement Grad-CAM in PyTorch: write a custom image-classification dataset class, build a CNN, code train and evaluation loops, and plot class-specific localization heatmaps.

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

MathWorks

Introduction to Deep Learning for Computer Vision

20 ratings at Coursera

Train image classification models with no prior deep learning knowledge: retrain GoogLeNet and ResNet, visualize what networks look at, tune training options, and classify ASL letters.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Advanced AI Techniques for the Supply Chain

16 ratings at Coursera

Apply advanced machine learning to supply chain problems: predict demand with neural networks, classify products with random forests, and detect defects using convolutional neural networks.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course