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.
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About this Course
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Try Coursera for BusinessWhat you will learn
Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.
Design streaming pipelines with Dataflow and Pub/Sub and dDesign streaming pipelines with Dataflow and Pub/Sub.
Identify different options to build machine learning solutions on Google Cloud.
Describe a machine learning workflow and the key steps with Vertex AI and build a machine learning pipeline using AutoML.
Skills you will gain
- Tensorflow
- Bigquery
- Google Cloud Platform
- Cloud Computing
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Course Introduction
Big Data and Machine Learning on Google Cloud
Data Engineering for Streaming Data
Big Data with BigQuery
Machine Learning Options on Google Cloud
The Machine Learning Workflow with Vertex AI
Course Summary
Reviews
- 5 stars71.61%
- 4 stars23.58%
- 3 stars3.60%
- 2 stars0.59%
- 1 star0.60%
TOP REVIEWS FROM GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS
Excellent overview of big data and machine learning using GCP, but would have been better if there had been notes similar to the "Google Cloud Platform Fundamentals - Core Infrastructure" course.
Thank you so much for gave this chance. I'm so happy with learning here. And it's more important learning this for me. Very clearly and cool course. Lerned more things. Thank you very much again.
In general - great course with a good introduction to GCP tools and platform. Some of the materials might need to get updated though as it seems they are a bit behind the new version of the platform.
Course is very engaging and attentive. As we have hands-on lab, we get some practical experience with guidance. I have learnt a lot from this course. Cant wait to attend Data Engineering Course.
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