The Machine Learning Systems for Hardware/IoT training course teaches delegates the fundamentals of hardware-based machine learning systems and how to build both AWS SageMaker production machine learning models and IoT Core ML2 (Modular Layer 2) Applications.
By attending Machine Learning Systems for Hardware/IoT workshop, delegates will:
- Understand how to use hardware-embedded AI in real products
- Learn how to choose managed machine learning systems such as Google AutoML, AWS SageMaker, and Azure ML Studio
- Build TPUs (Tensor Processing Units) on AWS, production Machine Learning models with AWS SageMaker, and IoT Core ML2 Applications with Swift Playgrounds
Experience in Python and an understanding of basic statistics.