@PyTorch: Build a neural network from scratch, train it, and optimize it for real-world AI infrastructure during our PyTorch Asso…
Summary
The article promotes a PyTorch Associate Training session on October 19, 2026, providing hands-on experience with PyTorch to prepare for the PTCA certification exam, instructed by Faradawn Yang of NVIDIA AI.
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Build a neural network from scratch, train it, and optimize it for real-world AI infrastructure during our PyTorch Associate Training the day before PyTorch Conference North America on October 19th. Your instructor, Faradawn Yang of @NVIDIAAI explains how this training will give you hands on experience with the latest AI accelerators & prepare you for the PyTorch Certified Associate (PTCA) certification exam. https://hubs.la/Q04y8msv0 #PyTorchCon
Training | PyTorch Conference North America
PyTorch Associate Training
Monday, October 19, 2026 | 9:00am – 5:00pm
ThePyTorch Associate Trainingis an in-person, instructor-led program designed to equip participants with the foundational and practical skills identified in the domains and competencies of the**PyTorch Certified Associate**exam.
Whether you aim to launch your deep learning journey, strengthen your current ML/DL capabilities, or gain an industry-recognized credential, this training offers a structured yet hands-on learning experience. Through a blend of lectures, demonstrations, guided labs, and assessments, students will not only understand PyTorch’s ecosystem but will also build and optimize real-world models from scratch.
Upon completion of the course, you will also receive a voucher (value of $250) to take the new PyTorch Certified Associate (PTCA) certification exam.
Pricing:****$595for PyTorch Conference attendees. Includes a voucher for the PyTorch Certified Associate (PTCA) certification exam (value of $250).
Learning Experience
This program is structured intosequential modules, each designed to progressively deepen knowledge and technical proficiency. Students will have access to:
- Interactive lectureswith real-time demonstrations
- Hands-on lab exercisesin Jupyter Notebooks
- Quizzes and checkpointsto reinforce comprehension
- Practical projectsthat connect concepts to industry use cases
The training is delivered in-person, fostering active engagement, peer learning, and direct instructor feedback.
Prerequisites
- Proficiency inPython programming
- Familiarity withJupyter Notebooks
- Basic understanding of machine learning concepts is recommended
- Google Account
- Basic understanding of Google Colab
Register
**How to Register:**Pre-registration is required. To register for PyTorch Associate Training, add it to yourPyTorch Conference registrationthrough Tuesday, October 13th.
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