Udemy – Real-world End to End Machine Learning Ops on Google Cloud 2023-8

Published on: 2024-08-26 23:00:29

Categories: 28

Description

Real-world End to End Machine Learning Ops on Google Cloud is a training course on the practical implementation of machine learning operations (MLOps) using the powerful tools and services of Google Cloud, published by the online academy of Udemy. Real-world End to End Machine Learning Ops on Google Cloud is an in-depth training course focused on the practical implementation of Machine Learning Operations (MLOps) using the powerful tools and services of Google Cloud. This course guides learners through the entire lifecycle of a machine learning project, from data acquisition and preprocessing to model training, deployment, and monitoring in a production environment. Participants will explore Google Cloud AI and machine learning services, including BigQuery, Vertex AI, and TensorFlow Extended (TFX), to build scalable and efficient machine learning pipelines.

Google Cloud Platform (GCP) provides powerful tools to help simplify this process, and in this course, you’ll get to know them well. This course emphasizes best practices for automating workflows, managing model versions, and ensuring reliability and scalability of ML systems. Ideal for data scientists, ML engineers, and cloud professionals, this course equips learners with the skills needed to deploy and maintain robust ML solutions in real-world scenarios.

What you will learn in Real-world End to End Machine Learning Ops on Google Cloud?

Comprehensive understanding of the Google Cloud Platform suite for MLOps
Tools like Airflow, Cloud Build, Google Container and Artifact Registry
Hands-on skill in orchestrating, deploying and monitoring machine learning workflows using GCP Composer/Airflow and Vertex AI services
Best practices and practices for ensuring scalable, repeatable and efficient machine learning pipelines in the cloud
Techniques to prepare for the GCP ML Professional certification exam
and…

Course specifications

Publisher: Udemy
Instructors: Sid Raghunath
Language: English
Level: Introductory
Number of Lessons: 87
Duration: 6 hours and 2 minutes

Course topics

Real-world End to End Machine Learning Ops on Google Cloud Content

Real-world End to End Machine Learning Ops on Google Cloud Prerequisites

Basic experience in developing Data science models ,concepts and terminologies
Working knowledge of Python, as the course will involve hands-on coding and scripting
Prior basic understanding and experience on using Google Cloud platform
Desire to expand and deepen skill sets in MLOps and cloud-based machine learning solutions