This advanced applied PyTorch course is designed for developers and engineers who want hands-on experience in deploying, optimizing, and ethically implementing AI solutions. Inspired by PyTorch Hackathon 2021, it provides practical guidance on building production-ready AI systems with PyTorch.

The course covers how to serve machine learning models using TorchServe, ensuring scalable and efficient deployment. You will explore mobile runtime applications for iOS and Android, learning how to optimize models for on-device inference. This knowledge is essential for building AI apps in real-world environments where performance and device compatibility matter.

In addition, the course emphasizes responsible AI practices, including fairness, transparency, and ethical considerations in model development and deployment. Hackathon examples showcase how creative AI projects are developed quickly, effectively, and responsibly, giving learners the tools to innovate while adhering to best practices.

By the end of the course, participants will be able to deploy PyTorch models on mobile and cloud environments, participate effectively in hackathons, and implement AI solutions responsibly, preparing them for practical AI engineering roles.