Google Cloud Big Data and Machine Learning Fundamentals

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Course Overview

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

Who Should Attend

Data Analysts, Data Engineers, Data Scientists, and ML Engineers who are getting started with Google Cloud

Course 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.

Course Outline

  • 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

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Class Dates & Times

Class times are listed Central time

This is a 1-day class

Class dates not listed.
Please contact us for available dates and times.