Course Introduction-Welcome to the course
Meet the author
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Course introduction
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Reading list
Big Data and Machine Learning on Google Cloud-Big Data and Machine Learning on Google Cloud
Introduction
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Google Cloud infrastructure
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Compute
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Storage
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The history of big data and ML products
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Big data and ML product categories
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Customer example: Gojek
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Getting Started with Google Cloud Platform and Qwiklabs
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Lab introduction: Exploring a BigQuery Public Dataset
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Summary
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Reading list
Data Engineering for Streaming Data-Data Engineering for Streaming Data
Introduction
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Big data challenges
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Message-oriented architecture
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Designing streaming pipelines with Apache Beam
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Implementing streaming pipelines on Cloud Dataflow
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Visualization with Looker
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Visualization with Looker Studio
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Lab introduction: Creating a streaming data pipeline for a Real-Time dashboard with Dataflow
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Summary
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Reading list
Big Data with BigQuery-Big Data with BigQuery
Introduction
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Storage and analytics
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Demo: Querying TB of data in seconds
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Introduction to BigQuery ML
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Using BigQuery ML to predict customer lifetime value
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BigQuery ML project phases
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BigQuery ML key commands
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Lab introduction: Predicting Visitor Purchases Using BigQuery ML
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Summary
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Reading list
Machine Learning Options on Google Cloud-Machine Learning Options on Google Cloud
Introduction
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Options to build ML models
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Pre-built APIs
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AutoML
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Custom training
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Vertex AI
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AI Solutions
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Summary
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Reading list
The Machine Learning Workflow with Vertex AI-The Machine Learning Workflow with Vertex AI
Introduction
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Data preparation
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Model training
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Model evaluation
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Model deployment and monitoring
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Lab introduction: Predicting loan risk with AutoML
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Lab recap: Predicting loan risk with AutoML
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Summary
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Reading list
Course Summary-Summary
Course summary
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