Question 1

How many PTCA practice questions are there?

Accepted Answer

150 questions across 1 version, each with the correct answer and an explanation.

Question 2

Are there free PTCA sample questions?

Accepted Answer

Yes. 12 sample questions are free; 6 are open to everyone and the rest unlock with a free account.

Question 3

What does full access include?

Accepted Answer

Every PTCA question in study, timed and flashcard modes, explanations for each answer, and progress that saves so you can resume.

Question 4

What topics does PTCA cover?

Accepted Answer

PyTorch Fundamentals (38%), Model Development (20%), Performance & Optimization (26%), Data Handling (16%).

Question 5

What is the PyTorch Certified Associate (PTCA) certification?

Accepted Answer

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.

Question 6

How much does the PTCA exam cost and how long is it?

Accepted Answer

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.

Question 7

What score do I need to pass the PTCA exam?

Accepted Answer

You must score 75% or higher to pass. Exams are scored automatically and a score report is emailed within 24 hours of completion.

Question 8

What topics does the PTCA exam cover?

Accepted Answer

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.

Question 9

Are there prerequisites for the PTCA exam?

Accepted Answer

There are no formal prerequisites. It is designed for beginners with some Python and machine learning experience who are starting to work with PyTorch.

Question 10

How long is the PTCA certification valid and how do I renew it?

Accepted Answer

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.

Question 11

Does the PTCA exam include a retake?

Accepted Answer

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.

Question 12

What training prepares me for the PTCA exam?

Accepted Answer

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.

Question 13

How much does the PTCA exam cost?

Accepted Answer

The PTCA exam fee is $250 (USD; local pricing varies by region and provider).

Question 14

What is the passing score for PTCA?

Accepted Answer

You need 75% to pass PTCA.

PTCAPyTorch Certified Associate (PTCA) practice test

Full access

Practice PTCA in the simulator.

PTCA, by the numbers.

Everything about PTCA.

Exam information

What PTCA covers

How do I earn this certification?

How to study for this exam?

What's changed on this exam?

Who should take this exam?

Three ways to practise

Study mode

Timed mode

Flashcards

PTCA questions, answered

PTCAPyTorch Certified Associate (PTCA) practice test

Full access

Practice PTCA in the simulator.

PTCA, by the numbers.

Everything about PTCA.

Exam information

01Exam format120 min · Not published by vendor5

02Registration$2503

03Validity2 years2

04In our question bankv1 (150)

What PTCA covers

01PyTorch Fundamentals38%4 topics

1.1Core ConceptsUnderstand PyTorch core concepts underpinning model design, training, and use2 obj.

1.2TensorsCreate and manipulate tensors as the fundamental PyTorch data structure2 obj.

1.3Training, Testing, and Using ModelsTrain, test, and use PyTorch models correctly2 obj.

1.4Device Basics (CPU, CUDA, MPS, etc)Use CPU, CUDA, and MPS devices for PyTorch computation2 obj.

Hands-on skills & common mistakesCreating and manipulating tensors · Mismatched tensor/model devices

02Model Development20%1 topic

03Performance & Optimization26%3 topics

04Data Handling16%4 topics