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Vertex Forecasting and Time Series in Practice

Offered By: Google via Google Cloud Skills Boost

Tags

Google Cloud Platform (GCP) Courses Time Series Analysis Courses Vertex AI Courses Forecasting Courses Data Preparation Courses Model Deployment Courses Model Development Courses BigQuery ML Courses Retail Industry Courses Sequence Models Courses

Course Description

Overview

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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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