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 stars0.58%
- 1 star0.60%
TOP REVIEWS FROM GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS
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.
It was very good training with some of the real-time use cases enjoyed a lot. As a new person to google cloud and big data, I think this the best basic fundamental which I have come across so far.
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.
It is a fun journey to explore the Big Data and ML resource in GCP. And even cooler is you don't need work for a big company or own lots of resource to get your hands dirty to support your learning!
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