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Google Cloud Big Data and Machine Learning Fundamentals

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Google Cloud Big Data and Machine Learning Fundamentals

magic_button Machine Learning Pipeline Machine Learning Machine Learning Models
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5 hours Introductory universal_currency_alt 20 Credits

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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Course Info
Objectives
  • 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.
  • 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.
Prerequisites
N/A
Audience
Data Analysts, Data Engineers, Data Scientists, and ML Engineers who are getting started with Google Cloud
Available languages
English, español (Latinoamérica), 日本語, 한국어, français, português (Brasil), українська, and italiano
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