This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Introduction
Loading...
Skills You'll Learn
Tensorflow, Bigquery, Google Cloud Platform, Cloud Computing
Reviews
4.7 (15,489 ratings)
- 5 stars71.61%
- 4 stars23.58%
- 3 stars3.60%
- 2 stars0.59%
- 1 star0.60%
AD
Sep 23, 2019
This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.
AS
Jan 21, 2021
Touched down on every aspect required on roadmap to Machine Learning along with big data. This will help to get which flavor suits or you find it interesting and then follow on next course of action.
From the lesson
The Machine Learning Workflow with Vertex AI
This section focuses on the three key phases--data preparation, model training, and model preparation--of the machine learning workflow in Vertex AI. Learners get the opportunity to practice building a machine learning model with AutoML.
Taught By
Google Cloud Training
Explore our Catalog
Join for free and get personalized recommendations, updates and offers.
Coursera Footer
© 2023 Coursera Inc. All rights reserved.
