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PTCA Verified 2026 Edition

PyTorch Certified Associate (PTCA) Practice Test

PTCA, the PyTorch Certified Associate credential from the Linux Foundation, is a new entry-level exam for practitioners beginning to build models with PyTorch. Practice questions here cover PyTorch fundamentals, model development, performance and optimization, and data handling. A Developer-level follow-on certification is planned for the future.

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Exam Information

Official specifications published by Linux Foundation

Exam Format

120 min
75%
Associate

Registration

$250 USD
PSI (online proctored) or online proctoring

Validity

2 years
Retake and pass the PTCA exam before expiration; Under the CARE program, passing a higher-level PyTorch certification may auto-renew (e.g. the planned PyTorch Certified Developer)

PTCA Exam Topics and Domains

PTCA is organized into 4 weighted domains. Expect to work with torch.nn, torch.nn.functional, torch.optim, torch, and more.

1

PyTorch Fundamentals

38%

Core Concepts

PyTorch core concepts and workflow

Understand PyTorch core concepts underpinning model design, training, and use

Tensors

Tensor creation and operations

Create and manipulate tensors as the fundamental PyTorch data structure

Training, Testing, and Using Models

Training / evaluation / inference workflow

Train, test, and use PyTorch models correctly

Device Basics (CPU, CUDA, MPS, etc)

Device placement and management

Use CPU, CUDA, and MPS devices for PyTorch computation

2

Model Development

20%

PyTorch Neural Network (NN) Building Blocks

Layers, activations, losses, and optimizers

Build neural networks using PyTorch NN building blocks

3

Performance & Optimization

26%

Precision and Execution Optimization

Mixed precision and execution optimization

Optimize precision and execution of PyTorch models

Performance Measurement

Profiling and benchmarking

Measure the performance of PyTorch workloads

Distributed Training

Scaling training across devices

Scale PyTorch training using distributed techniques

4

Data Handling

16%

Datasets

Building and using datasets

Represent training data using PyTorch Dataset objects

DataLoaders

Batching and loading data

Load and batch data efficiently with DataLoaders

Transforms

Data transformations and augmentation

Apply transforms to prepare and augment data

Training Data

Preparing and splitting training data

Prepare training data pipelines for model training

How do I earn this certification?

Passing PTCA earns the PyTorch Certified Associate certification. It sits in the AI & Machine Learning track.

Next Level Options
PyTorch Certified Developer (planned/announced follow-on course)
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How to study for this exam?

The most effective way to prepare for PTCA is by using the PlanetCert Simulator to practice questions and review detailed explanations.

What's changed on this exam?

Current Status
  • ACTIVE
  • Last content update: 2026-06-18
  • Announcement date: 2026-06-18
Updates
PyTorch Certified Developer planned Announced as a more advanced follow-on to PTCA; will extend the certification path beyond the associate level. • Release date: Not yet announced

Who should take this exam?

  • Some Python experience
  • Some machine learning experience
  • Beginning to work with PyTorch
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Common Questions

What is the PyTorch Certified Associate (PTCA) certification?
PTCA is a Linux Foundation and PyTorch Foundation certification launched on June 18, 2026 that validates foundational, practical PyTorch skills. It proves you can work with PyTorch in real-world AI and machine learning workflows — understanding how models are designed, trained, and used.
How much does the PTCA exam cost and how long is it?
The PTCA exam costs $250 (exam only) and runs 120 minutes. It is an online, remotely proctored, multiple-choice exam. A discounted bundle with the THRIVE-ONE Annual Subscription is available for $495.
What score do I need to pass the PTCA exam?
You must score 75% or higher to pass. Exams are scored automatically and a score report is emailed within 24 hours of completion.
What topics does the PTCA exam cover?
The exam covers four domains: PyTorch Fundamentals (38%), Model Development (20%), Performance & Optimization (26%), and Data Handling (16%) — spanning tensors, autograd, devices, neural-network building blocks, mixed precision, profiling, distributed training, datasets, DataLoaders, and transforms.
Are there prerequisites for the PTCA exam?
There are no formal prerequisites. It is designed for beginners with some Python and machine learning experience who are starting to work with PyTorch.
How long is the PTCA certification valid and how do I renew it?
The certification is valid for 2 years. You can renew by retaking and passing the exam before it expires; the renewed certification is then valid for a further 2 years. Under the Linux Foundation CARE program, passing a higher-level exam can automatically renew associate-level certifications.
Does the PTCA exam include a retake?
Yes. The PTCA registration includes one free retake and provides 12 months of exam eligibility, giving you flexibility to prepare and, if needed, attempt the exam again.
What training prepares me for the PTCA exam?
The Linux Foundation offers PyTorch Associate Training (introduced in beta at PyTorch Conference 2025) and the self-paced course PyTorch Essentials: An Applications-First Approach (LFD273). Free resources include the official PyTorch tutorials, docs, and case studies at pytorch.org.

Student Reviews

I had a very good experience with PlanetCert. The study material was well structured, easy to understand, and closely aligned with the exam topics. The practice questions were especially helpful in improving my understanding and building confidence before the exam. The overall process was smooth, and the quality of the content was good. I would definitely recommend PlanetCert to professionals looking for well-organized certification preparation material.
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Jenn K. Oct 2026 · via Trustpilot (opens in a new tab)
Most of the correct answers were answer 1 or A. It should be mixed up or at least have the option to randomize the order the answers appear. It did help me pass the exam without being a dump of the exam questions.
Scott S. Sep 2026 · via Trustpilot (opens in a new tab)
Really useful simulator, it's not as good as the official resources but still allows for multiple retakes, flash cards were useful, and allowed me to see my progress over time. Questions were challenging as well with detailed explanations
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