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.
Overview
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
- Vertex AI: Predicting Loan Risk with AutoML
- Lab recap: Predicting loan risk with AutoML
- Summary
- Quiz
- Reading list
- Course Summary
- Course summary
- Your Next Steps
- Course Badge