Learn to build custom neural-network layers and accelerate model training with performance-driven PyTorch techniques. This hands-on, engineer-focused course teaches you how to design differentiable modules, diagnose bottlenecks, and apply optimizations like mixed precision and gradient accumulation to significantly boost training throughput.
Optimize PyTorch: Build and Accelerate Layers
Optimize PyTorch: Build and Accelerate Layers
This course is part of Deep Learning Engineering Specialization
Instructor: ansrsource instructors
Access provided by New Apprenticeship
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
March 2026
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Deep Learning Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There is 1 module in this course
Learn to build custom neural-network layers and accelerate model training with performance-driven PyTorch techniques. This hands-on, engineer-focused course teaches you how to design differentiable modules, diagnose bottlenecks, and apply optimizations like mixed precision and gradient accumulation to significantly boost training throughput.
What's included
6 videos2 readings5 assignments
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Explore more from Data Science
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.