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Google Cloud Big Data and Machine Learning Fundamentals

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Overview

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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
    • Meet the author
    • Course introduction
  • Big Data and Machine Learning on Google Cloud
    • Introduction
    • Google Cloud infrastructure
    • 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 Looker 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
    • Demo: Querying TB of data in seconds
    • Introduction to BigQuery ML
    • Using BigQuery ML to predict customer lifetime value
    • BigQuery ML project phases
    • BigQuery ML key commands
    • Lab introduction
    • Predict 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
    • Agent Platform: Predicting Loan Risk with AutoML
    • Lab recap: Predicting loan risk with AutoML
    • Summary
    • Quiz
    • Reading list
  • Course Summary
    • Course summary
  • Your Next Steps
    • Claim credential

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