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Vertex Forecasting and Time Series in Practice

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Overview

This practical course teaches forecasting and time series analysis using Google Cloud’s Vertex AI platform. Learners work with temporal datasets to build, train, and deploy predictive models for trend analysis and demand forecasting. The curriculum covers feature engineering for time series, evaluation metrics, and model optimization. Suitable for data scientists and analysts, this course provides hands-on experience leveraging cloud AI tools to solve real-world forecasting challenges.

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
Vertex Forecasting and Time Series in Practice
Go to Class

Google via Google Cloud Skills Boost

Certificate Available

English

On-Demand

Intermediate

Instructor

cloudskillsboost.google

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