Pluralsight – ML Pipelines on Google Cloud 2024-11

Published on: 2024-12-18 17:54:53

Categories: 28

Description

ML Pipelines on Google Cloud Course. This course introduces you to the complex and fascinating world of building and managing machine learning pipelines (ML Pipelines) on Google Cloud. In this course, you will learn from machine learning engineers and trainers who are at the forefront of developing the most advanced machine learning pipelines on Google Cloud. In the early parts of the course, we will explore the basic concepts of TensorFlow Extended (TFX), a Google-produced machine learning platform built on TensorFlow and used to manage machine learning pipelines and metadata.

What you will learn:

TFX: In this course, you will learn about the components of pipelines and how they coordinate in TFX.
Automation: You will learn how to automate your pipeline using Continuous Integration and Continuous Deployment methodologies.
Metadata Management: You will learn how to manage machine learning metadata.
Reusability: You will learn methods for automating and reusing pipelines in various machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.
Cloud Composer: Using this Google Cloud tool, you will learn how to continuously synchronize your training pipelines.
MLflow: Finally, you will learn how to use MLflow to manage the complete machine learning lifecycle.

This course is suitable for people who:

Looking to learn how to build and manage machine learning pipelines.
Want to learn about advanced machine learning tools and techniques in Google Cloud.
Interested in automating and improving machine learning processes.
Want to learn the basic and advanced concepts of TensorFlow Extended.