Convolutional Neural Networks (CNN) Courses and Certifications

EDUCBA

Mask Detector with Python & TensorFlow: Build & Deploy

Build a real-world mask detection system using OpenCV, TensorFlow, and deploy it on AWS with hands-on computer vision and deep learning techniques.

• Coursera
• 4 hours 35 minutes
• Self-Paced
• Paid Course

EDUCBA

Image Captioning with TensorFlow & Streamlit

Master image captioning by building CNN-RNN models with TensorFlow, creating interactive Streamlit apps, and deploying on AWS for real-world social media applications.

• Coursera
• 4 hours 46 minutes
• Self-Paced
• Paid Course

Coursera

Vision Models: Train and Evaluate

Master computer vision model training with CNNs and Vision Transformers, plus evaluation metrics like mAP and IoU through hands-on TensorFlow labs and real-world projects.

• Coursera
• 2 hours 43 minutes
• Self-Paced
• Paid Course

EDUCBA

Image Classification with Keras: Build & Optimize

Master image classification using Keras through hands-on CNN building, transfer learning, data augmentation, and model optimization techniques in Google Colab.

• Coursera
• 2 hours 59 minutes
• Self-Paced
• Paid Course

EDUCBA

Deep Learning: Build & Optimize Neural Networks

Master neural networks from foundations to advanced applications including computer vision, NLP with transformers, and recommender systems using PyTorch and real-world projects.

• Coursera
• 17 hours 3 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze and Apply Deep Learning for Computer Vision

Master deep learning architectures and computer vision techniques to solve real-world visual intelligence problems through hands-on implementation and modern AI workflows.

• Coursera
• 5 hours 15 minutes
• Self-Paced
• Paid Course

Packt

Modern Deep Learning Foundations

Unlock the foundations of deep learning, covering neural networks, CNNs, RNNs, Transformers, and deployment with TensorFlow and PyTorch to build and optimize real-world AI models.

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

Packt

Deep Learning for Time Series Cookbook

Master deep learning for time series using PyTorch, covering forecasting, classification, and anomaly detection with CNNs, LSTMs, Transformers, and autoencoders through hands-on recipes.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

6.036 Introduction to Machine Learning

This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction.

• Independent
• Self-Paced
• Free Online Course

Hands-On Deep Learning

Master practical deep learning by building neural networks, CNNs, transformers, and generative AI models for real-world applications with unstructured data.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Deep Learning

Master neural networks, CNNs, RNNs, transformers, and generative models with theory and applications in computer vision, NLP, and robotics from MIT.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Career Certificate

Deep Learning

992 ratings at Udacity

Master deep learning by building neural networks, CNNs, Transformers, GANs, and Diffusion Models using PyTorch, with hands-on projects in image classification, NLP, and generative AI.

• Udacity
• 50 hours
• Self-Paced
• Paid Course

TensorFlow 2.0 Practical

961 ratings at Udemy

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 10 practical projects

• Udemy
• 11 hours 45 minutes
• Self-Paced
• Paid Course

Basics of Deep Learning

664 ratings at Udemy

Explore neural networks, their evolution, and applications in AI. Learn key concepts of deep learning, including ANN, CNN, and RNN, suitable for various professionals.

• Udemy
• 1 hour 46 minutes
• Self-Paced
• Paid Course

Tensorflow and Keras For Neural Networks and Deep Learning

540 ratings at Udemy

Master the Most Important Deep Learning Frameworks (Tensorflow & Keras) for Python Data Science

• Udemy
• 8 hours 2 minutes
• Self-Paced
• Paid Course