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Google

Vertex Forecasting and Time Series in Practice

Google via Google Cloud Skills Boost

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Overview

This course is an introduction to building forecasting solutions with Google Cloud. You start with sequence models and time series foundations. You then walk through an end-to-end workflow: from data preparation to model development and deployment with Vertex AI. Finally, you learn the lessons and tips from a retail use case and apply the knowledge by building your own forecasting models.

Syllabus

  • Introduction
    • Course Introduction
    • Reading list
  • Time series and forecasting fundamentals
    • Introduction
    • Sequence models
    • Time series patterns
    • Time series analysis
    • Forecasting notations
    • Summary
    • Quiz
    • Reading list
  • Forecasting options on Google Cloud
    • Introduction
    • Forecasting options
    • Forecasting with BigQuery ML
    • Vertex AI
    • Vertex AI Forecast workflow
    • Lab introduction
    • Summary
    • Quiz
    • Reading list
    • Building Demand Forecasting with BigQuery ML
  • Data preparation
    • Introduction
    • Data upload
    • Data conversion
    • Feature engineering
    • Data preparation best practices
    • Summary
    • Quiz
    • Reading list
  • Model training
    • Introduction
    • Training setup
    • Context window and forecast horizon
    • Optimization objectives
    • Lab introduction
    • Summary
    • Quiz
    • Reading list
    • Training a model with Vertex AI Forecast
  • Model evaluation
    • Introduction
    • Training data split
    • Backtesting
    • Evaluation metrics
    • Model improvement
    • Summary
    • Quiz
    • Reading list
  • Model deployment
    • Introduction
    • MLOps with Vertex AI Pipelines
    • Making predictions
    • Using predictions
    • Summary
    • Quiz
    • Reading list
  • Model monitoring
    • Introduction
    • Model drift
    • Model retraining
    • Pipeline automation
    • Lab introduction
    • Summary
    • Quiz
    • Reading list
    • Building a Forecasting Pipeline Using Vertex AI Python SDKs
  • Vertex forecasting in retail
    • Introduction
    • Use case background
    • Steps and considerations
    • Pilot study
    • Lessons
    • Lab introduction
    • Summary
    • Reading list
    • Developing an End-to-end Forecasting Solution in Retail
  • Summary
    • Course summary
    • Reading list
  • Your Next Steps
    • Course Badge

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