PyTorch Certified Associate (PTCA)

Build credibility in PyTorch, the technology behind much of today’s AI development. PTCA demonstrates that candidates understand how engineers and researchers design, train, and experiment with machine learning models, helping them step confidently into AI-focused roles.

The PTCA certification enables you to collaborate efficiently with AI and ML teams, contribute to actual model development and training workflows, apply PyTorch to real-world AI use cases, and build confidence when working with modern AI systems.

PyTorch Fundamentals - 38%

Core Concepts

Tensors

Training, Testing, and Using Models

Device Basics (CPU, CUDA, MPS, etc)

Model Development - 20%

PyTorch Neural Network (NN) Building Blocks

Performance & Optimization - 26%

Precision and Execution Optimization

Performance Measurement

Distributed Training

Data Handling - 16%

Datasets

DataLoaders

Transforms

Training Data

PTCA is designed for early-stage practitioners with some Python and machine learning experience who are beginning to use PyTorch. It proves you understand core concepts and workflows, giving you a strong foundation to build on as you advance into more hands-on AI and ML work.

How to register & take exam: TBC (Link to FAQ pages of the website)

Linux Foundation Global Certification & Confidentiality Agreement: https://docs.linuxfoundation.org/tc-docs/certification/lf-cert-agreement/

Candidate Handbook: https://training.linuxfoundation.org/go/LFCA-candidate-handbook

Important Instructions: https://docs.linuxfoundation.org/tc-docs/certification/important-instructions-mc

Frequently Asked Questions: https://docs.linuxfoundation.org/tc-docs/certification/faq-mc