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Google Cloud Big Data and Machine Learning Fundamentals - Locales

Offered By: Google via Google Cloud Skills Boost

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Google Cloud Platform (GCP) Courses Big Data Courses Data Visualization Courses Machine Learning Courses BigQuery Courses Vertex AI Courses Apache Beam Courses Data Pipelines Courses Streaming Data Courses

Course Description

Overview

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This course, Google Cloud Big Data and Machine Learning Fundamentals - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Big Data and Machine Learning Fundamentals. 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.

Syllabus

  • Course Introduction
    • Course introduction
    • Reading list
  • Big Data and Machine Learning on Google Cloud
    • Introduction
    • Compute
    • Storage
    • The history of big data and ML products
    • Big data and ML product categories
    • Customer example: Gojek
    • Lab introduction: Exploring a BigQuery Public Dataset
    • Exploring a BigQuery Public Dataset
    • Summary
    • Quiz
    • Reading list
  • Data Engineering for Streaming Data
    • Introduction
    • Big data challenges
    • Message-oriented architecture
    • Designing streaming pipelines with Apache Beam
    • Implementing streaming pipelines on Cloud Dataflow
    • Visualization with Looker
    • Visualization with Data Studio
    • Lab introduction: Creating a streaming data pipeline for a Real-Time dashboard with Dataflow
    • Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow
    • Summary
    • Quiz
    • Reading list
  • Big Data with BigQuery
    • Introduction
    • Storage and analytics
    • BigQuery demo - San Francisco bike share
    • Introduction to BigQuery ML
    • Using BigQuery ML to predict customer lifetime value
    • BigQuery ML project phases
    • BigQuery ML key commands
    • Lab introduction: Predicting Visitor Purchases Using BigQuery ML
    • Predicting Visitor Purchases with BigQuery ML
    • Summary
    • Quiz
    • Reading list
  • Machine Learning Options on Google Cloud
    • Introduction
    • Options to build ML models
    • Pre-built APIs
    • AutoML
    • Custom training
    • Vertex AI
    • AI Solutions
    • Summary
    • Quiz
    • Reading list
  • The Machine Learning Workflow with Vertex AI
    • Introduction
    • Data preparation
    • Model training
    • Model evaluation
    • Model deployment and monitoring
    • Lab introduction: Predicting loan risk with AutoML
    • Vertex AI: Predicting Loan Risk with AutoML
    • Lab recap: Predicting loan risk with AutoML
    • Summary
    • Quiz
    • Reading list
  • Course Summary
    • Course summary

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