PyTorch Conference NA 2026 Introduces New Training Track for AI Developers
Hands-on sessions and certification opportunities to deepen PyTorch expertise.
1Introduction to PyTorch Training
The PyTorch Conference North America 2026 introduces a new Introduction Track and a full-day PyTorch Associate Training session. These initiatives aim to provide developers, researchers, and engineers with hands-on experience in training, optimizing, and deploying deep learning models effectively. The training will take place on October 19, 2026, in San Jose, California, offering a structured curriculum that bridges core concepts and production-ready implementation.
2Target Audience
The Introduction Track is designed for a wide range of attendees, from students and first-time participants to seasoned AI engineers looking to explore new areas. Sessions will cover foundational concepts, common workflows, and practical ways to build with the PyTorch ecosystem. This inclusive approach ensures that attendees at various skill levels can benefit from the training.
3Key Sessions
Several key sessions are scheduled, including 'From Math Panic to PyTorch Confidence' and 'Practical GPU Programming with Triton for PyTorch Developers.' These sessions will use visual explanations, interactive exercises, and live demos to demystify complex concepts like tensors, gradients, and GPU programming. Attendees will gain practical skills through hands-on activities and real-time feedback from experienced instructors.
4Hands-On Learning
The PyTorch Associate Training emphasizes hands-on learning through interactive lectures, live demos, and guided Jupyter Notebook labs. Participants will work on real-world use cases that mirror production scenarios and deployment challenges. This practical approach ensures that attendees can apply their new skills directly to their work environments.
5Certification Opportunity
Every attendee who completes the training will receive a voucher for the official PyTorch Certified Associate (PTCA) certification exam. This certification validates practical skills in deep learning workflows using PyTorch, providing a clear, industry-recognized credential for professional development. The voucher is valued at $250, supporting long-term career growth.
6Instructor Expertise
The training will be led by Faradawn Yang, an engineer on the AI platform software team at NVIDIA. With a master’s degree in computer science and extensive experience in AI inference products, Yang brings a wealth of knowledge to the training. His background includes roles as a data engineer and a focus on AI inference, making him well-suited to guide participants through complex topics.
7Prerequisites
To maximize the benefits of the training, attendees should have proficiency in Python programming, familiarity with Jupyter Notebooks, and a basic understanding of machine learning concepts. An active Google Account is also required for accessing practical exercises. These prerequisites ensure that participants can fully engage with the course material and activities.
8Registration Details
Pre-registration is required to secure a seat in the classroom, as space is limited to maintain an optimal student-to-instructor ratio. Attendees can add the PyTorch Associate Training to their PyTorch Conference North America registration through October 13, 2026. This opportunity is ideal for professionals looking to elevate their AI skills and gain industry-recognized certification.