Be one of the first to take our brand new PyTorch Associate Training Course which will be offered in-person at the PyTorch Conference on Tuesday, October 21, 2025. 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 the fundamentals of deep learning and PyTorch but will also have the opportunity to build and optimize models from scratch.
PyTorch Associate Training Details
The PyTorch Associate Training is an in-person, instructor-led course designed to equip participants with the foundational and practical skills identified in the domains and competencies of the upcoming PyTorch Certified Associate exam. This brand new training course will take place just before the PyTorch Conference on Tuesday, October 21, 2025. Upon completion of the course, you will also receive a voucher for the new PyTorch Certified Associate (PTCA) certification exam.
This program is structured into nine sequential modules, each designed to progressively deepen knowledge and technical proficiency. Students will have access to:
- Interactive lectures with real-time demonstrations
- Hands-on lab exercises in Colab Notebooks
- Quizzes and checkpoints to reinforce comprehension
- Practical projects that connect concepts to industry use cases
- Supplemental reading materials to advance PyTorch knowledge
Course Overview
The PyTorch Associate Training course is delivered in-person, fostering active engagement, peer learning, and direct instructor feedback. See the course details on the Linux Foundation Education website.
The training includes the following modules:
- PyTorch Fundamentals
- Hardware Acceleration
- Data Handling
- Model Development
- Core Modules
- Advanced Features
- Performance Optimization
- Specialized Applications
- Certification Readiness
Prerequisites:
- Proficiency in Python programming
- Familiarity with Jupyter Notebooks
- Basic understanding of machine learning concepts is recommended
Start your PyTorch Journey Today
Learn more about the PyTorch Associate Training course on the PyTorch Conference website and be sure to sign up early to reserve your seat! Seating is limited, and the course is offered at a discount to PyTorch Conference attendees. To register for the PyTorch Associate Training course, add it to your PyTorch Conference registration.