MLOps for Scaling TinyML
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About this course
This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.
What you'll learn
- best practices for deploying machine learning models
- monitoring machine learning models in production
- maintaining tiny machine learning models at scale
Course objectives
- introduce MLOps concepts related to TinyML
- explore deployment strategies for tiny machine learning models
- understand monitoring and maintenance techniques for production systems
Skills you'll gain
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