TFX- Production ML Pipelines with TensorFlow

This course teaches learners how to develop machine learning pipelines for production using TensorFlow Extended (TFX). The learning outcomes include understanding the pipeline model for production ML deployments, learning about TFX components such as Metadata Store and Pipeline Components, and exploring custom components and fairness indicators. The course aims to equip learners with the skills to design scalable and maintainable ML infrastructure. The teaching method involves a combination of lectures and practical examples. This course is intended for individuals interested in deploying machine learning models in production environments.