Current
Intermediate
40% Off
Deep Neural Networks With PyTorch
Coursera · Coursera Project Network · Updated March 2026
Platform rating
4.5/5
AI Tutor Rating
8.3/10
Duration
5 weeks, 4 hours/week
Classes
35
Build and train deep neural networks using PyTorch, one of the most popular deep learning frameworks. Learn architecture design, training techniques, and optimization methods for modern AI applications. Master hands-on implementation through practical projects.
What you'll get
Build neural network architectures with PyTorch
Train and optimize deep learning models
Implement convolutional and recurrent networks
Deploy models for production applications
Fit
Best for
Leaders
Analysts
Researchers
Decision-makers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python programming, basic machine learning knowledge
Pricing
Free to audit, $49 for certificate
Certification
Certificate
Growth Leverage: Completing this course positions individuals for advanced roles such as Deep Learning Engineer, Data Scientist, or AI Researcher, opening opportunities for certifications like AWS Certified Machine Learning or TensorFlow Developer. It enhances your ability to contribute to projects in cutting-edge AI applications across various industries.
Skills Value: The skills gained enable graduates to effectively solve complex problems in image recognition, natural language processing, and predictive analytics, making them highly sought after; in fact, professionals skilled in PyTorch can command salaries that are 10-20% higher than their peers without deep learning expertise.
PyTorch
deep-learning
neural-networks
python
model-training