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.
DurationThis 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.
Objectives
Recognize the data-to-AI lifecycle on Google Cloud and the major big data and machine learning products.
Design streaming pipelines with Dataflow and Pub/Sub.
Analyze big data at scale with BigQuery.
Identify different options to build machine learning solutions on Google Cloud.
Describe a machine learning workflow and the key steps with Vertex AI.
Build a machine learning pipeline using AutoML.
Audience
Data Analysts, Data Engineers, Data Scientists, and ML Engineers who are getting started with Google Cloud.
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At Servian, we design, deliver and manage innovative data & analytics, digital, customer engagement and cloud solutions that help you sustain competitive advantage.
Data is our heritage and has always been at the core of everything we do at Servian. Our mission is to enable our customers to use their data and analytics to build competitive advantage.
Our expertise in data and analytics strengthens our ability to provide data-driven solutions for our Digital and Customer Engagement services, aided by our expertise in Cloud & Technology.
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