Google Cloud Big Data and Machine Learning Fundamentals

by Servian Claim Listing

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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img Duration

6 Months

Course Details

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.

 

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.

 

Earn Badges

  • Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.

  • Sydney Branch

    Level 46, 264 George Street, Sydney
  • Melbourne Branch

    Level 20, Tower 5, 727 Collins Street, Melbourne
  • Brisbane Branch

    Suite 3646, Level 38, 71 Eagle Street, Brisbane
  • Perth Branch

    79 St, Perth
  • Canberra Branch

    Suite 2, 6 Napier Close, Canberra
  • Hobart Branch

    Level 2, 162 Macquarie St, Hobart

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