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03

Google Cloud Big Data and Machine Learning Fundamentals

03

Google Cloud Big Data and Machine Learning Fundamentals

magic_button AI Platform Pipelines AutoML Vision Data Preparation Machine Learning Model Training
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5 hours Introductory

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
How do I earn a completion badge?
Upon finishing a course you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
Do you prefer learning with an instructor?
View the public classroom schedule here

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