Prove You Can Work with the Technology Behind Modern AI #
Linux Foundation Education and PyTorch Foundation have launched the PyTorch Certified Associate (PTCA), a new certification designed for early-stage practitioners looking to build credibility in AI and machine learning. PTCA validates your ability to work with PyTorch, demonstrating that you understand how models are designed, trained, and used in real-world environments.
AI adoption is accelerating across industries, and organizations are under pressure to turn ideas into working systems. PyTorch sits at the center of that shift, widely used by engineers and researchers to build and experiment with machine learning models. As teams expand their AI capabilities, they need professionals who can contribute with a shared understanding of core concepts, workflows, and tools.
Earning PTCA helps you stand out for AI and machine learning roles by proving you can work within real PyTorch workflows. With PTCA, you can:
- Stand out for AI and machine learning roles
- Prove you can work with PyTorch in real-world AI workflows
- Give employers confidence in your PyTorch skills
The certification is designed for individuals with some Python and machine learning experience who are beginning to work with PyTorch. The exam is multiple choice, includes a free retake, and provides 12 months of eligibility, giving you flexibility as you prepare. Once earned, the certification is valid for two years and demonstrates your foundational competency in one of the most widely used technologies in modern AI.
Prove Your PyTorch Skills for an AI-Driven Market #
“Last year at PyTorch Conference, the PyTorch Foundation launched a beta of the PyTorch Certified Associate training, and the response from the community was extraordinary. The event sold out, the course was incredibly well received, and we heard clearly from practitioners, educators, and organizations that formal PyTorch certification was something they had wanted for quite some time.
The launch of the PyTorch Certified Associate is an important milestone for the community. It gives learners a clear path to onboard to PyTorch, understand core workflows, and use the framework effectively and optimally in real-world AI and machine learning environments. It also gives organizations a trusted signal: when someone earns the PTCA credential, employers know what foundational skills and practical PyTorch knowledge they can expect.
This is just the beginning. Following the PTCA launch, we are already looking ahead to a more advanced PyTorch Certified Developer course, designed to help practitioners continue building deeper expertise as PyTorch remains central to modern AI development.”
— Matt White, CTO, PyTorch Foundation