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Advanced Deep Learning with PyTorch

Coursera · IBM · Updated March 2026

Platform rating

4.5/5

Champ rating

8.3/10

Duration

6 weeks, 6 hours/week

Classes

54

Master advanced deep learning techniques using PyTorch, the preferred framework for research and production ML. Build sophisticated models including attention mechanisms, transformers, and GANs. Ideal for experienced practitioners wanting to advance their deep learning skills.

What you'll get

Build advanced neural network architectures with PyTorch

Implement attention mechanisms and transformer models

Create generative models including GANs and VAEs

Optimize deep learning models for performance

Deploy PyTorch models to production environments

Fit

Best for

Leaders

Analysts

Researchers

Decision-makers

Not ideal for

Complete beginners

Non-technical learners

Prerequisites & pricing

Prerequisites

Solid understanding of neural networks and Python experience required

Pricing

Free to audit, $49 for certificate

Certification

Certificate

pytorch

deep-learning

advanced-techniques

neural-networks

transformers

generative-models

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