Convolutional Networks Courses and Certifications

Artificial Intelligence Masterclass + ChatGPT Prize [2026]

2787 ratings at Udemy

Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL and AI models.

• Udemy
• 12 hours 5 minutes
• Self-Paced
• Paid Course

PyTorch: Deep Learning and Artificial Intelligence

2647 ratings at Udemy

Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!

• Udemy
• 1 day 24 minutes
• Self-Paced
• Paid Course

6.S094: Deep Learning for Self-Driving Cars

2 ratings

Explore deep learning applications in self-driving cars, covering reinforcement learning, convolutional neural networks, recurrent neural networks, and human-centered autonomous systems.

• Independent
• Self-Paced
• Free Online Course

Modern Natural Language Processing in Python

1832 ratings at Udemy

Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab

• Udemy
• 5 hours 48 minutes
• Self-Paced
• Paid Course

Coursera

Object Localization with TensorFlow

117 ratings at Coursera

Create and train a CNN using TensorFlow's Keras API to classify and localize emojis in images. Gain hands-on experience in implementing object localization for computer vision tasks.

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

AI Applications in Healthcare

1654 ratings at Great Learning

Explore AI's transformative impact on healthcare through deep learning, neural networks, and hands-on projects including COVID-19 detection from X-ray images.

• Great Learning
• 2 hours
• Self-Paced
• Free Online Course

Deep Learning with PyTorch

100 ratings at Coursera

Advance your deep learning skills with PyTorch, covering neural networks, convolutional architectures, and advanced techniques through hands-on exercises and a final CNN project.

• Coursera
• 18 hours 33 minutes
• Self-Paced
• Paid Course

Coursera

Deep Learning with PyTorch : Generative Adversarial Network

100 ratings at Coursera

Implement a Deep Convolutional GAN using PyTorch to generate realistic handwritten digits. Create a generator and discriminator, and learn practical aspects of DCGAN implementation and training.

• Coursera
• 2 hours 1 minute
• Self-Paced
• Paid Course

PyTorch: Fundamentals

97 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

Deep Learning

34 ratings at Coursera

Explore neural networks, CNNs, RNNs, transformers, generative models, and advanced techniques in this comprehensive introduction to deep learning for aspiring ML engineers and data scientists.

• Coursera
• 2 days 9 hours 8 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

PyTorch Ultimate 2024 - From Basics to Cutting-Edge

94 ratings at Coursera

Master PyTorch from basics to advanced techniques. Build neural networks, explore CNNs, RNNs, GANs, and apply AI to real-world problems. Ideal for tech professionals and data scientists seeking cutting-edge skills.

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

Generative AI for Healthcare Students and Professionals

18 ratings at Coursera

Explore generative AI's impact on healthcare through case studies, ethics, and future perspectives, equipping students and professionals with balanced, practical knowledge.

• Coursera
• 13 hours 36 minutes
• Self-Paced
• Paid Course

Coursera

Creating Multi Task Models With Keras

78 ratings at Coursera

Learn to build multi-task, multi-output models using Keras' functional API. Create a model with shared layers and ResNet-style skip connections for complex tasks like object detection.

• Coursera
• 1 hour 35 minutes
• Self-Paced
• Paid Course

Computer Vision Masterclass

1356 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

Deep learning in Electronic Health Records - CDSS 2

Explore deep learning principles and architectures for electronic health records, focusing on time-series classification, imputation techniques, and encoding strategies using MIMIC-III database for clinical predictions.

• Coursera
• 1 day 7 hours 38 minutes
• Self-Paced
• Paid Course