A precise roadmap
Progress through the public domains of the PTCA blueprint.
Independent PTCA certification preparation
A structured path, hands-on practice and human support to turn the PTCA blueprint into solid skills.
01 — THE SHIFT
Knowing Python is not always enough to organize your preparation. PyTorch Certification Ready gives you a clear direction, meaningful practice and a group to grow with.
Progress through the public domains of the PTCA blueprint.
Quizzes, two mock exams and one guided project.
10 hours to practise, review and ask questions.
A private Discord to share, support each other and collaborate.
02 — CURRICULUM
Six clear steps. Content evolves alongside the official blueprint.
Tensors, operations and CPU, CUDA & MPS devices
Datasets, DataLoaders and transformations
Neural network building blocks with torch.nn
Training loops, validation, testing and inference
Measurement, precision, optimization and distributed basics
Guided project, focused review and mock exams
03 — METHOD
Join the live sessions, immediately put the concepts into practice, then use the resources sent by email and the community to consolidate your skills.
04 — COMMUNITY
Technical questions, peer support, announcements and collaborative projects: Discord extends the course experience.
PYTORCH05 — YOUR INSTRUCTOR
Sonny Mupfuni is an AI Engineer, educator and PyTorch Ambassador based in France. He designed and teaches this preparation with a clear, practical and accessible approach.
View LinkedIn profile06 — JOIN
One-time payment. The official PTCA exam is not included.
Essential
The complete path and the power of the group.
Coaching
For personal guidance as you progress.
Secure payment · Applicable legal terms
07 — FAQ
You will have consolidated PyTorch fundamentals, practised the main PTCA domains and learned to identify the topics that still need work before the exam.
Group sessions are used to practise, review exercises, explore important concepts and answer your questions.
Course materials, exercises and useful resources are sent to participants by email throughout the training.
Basic Python is enough to begin. An initial understanding of machine learning is helpful, and the course guides you progressively through PyTorch.
You can ask questions, connect with other learners, join study groups and collaborate on projects.
Essential suits independent learners who want to progress with the group. Coaching adds 6 one-to-one hours and priority conversations for personal guidance.
You receive a confirmation, followed by practical information and the live-session schedule by email.
Turn a list of topics into a concrete plan, surrounded by people working towards the same goal.
Choose my plan