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Introduction to Vertex Forecasting and Time Series in Practice
  • Level Expert
  • المدة 15 ساعات hours
  • الطبع بواسطة Google Cloud
  • Offered by

عن

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.

الوحدات

Introduction

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Course Introduction

1 Readings

  • Reading list

Time series and forecasting fundamentals

    • 6 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Quiz

6 Videos

  • Introduction
  • Sequence models
  • Time series patterns
  • Time series analysis
  • Forecasting notations
  • Summary

1 Readings

  • Reading list

Forecasting options on Google Cloud

    • 7 Videos
    • 1 Readings
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Quiz

1 External Tool

  • Lab: Building Demand Forecasting with BigQuery ML

7 Videos

  • Introduction
  • Forecasting options
  • Forecasting with BigQuery ML
  • Vertex AI
  • Vertex AI Forecast workflow
  • Lab introduction
  • Summary

1 Readings

  • Reading list

Data preparation

    • 6 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Quiz

6 Videos

  • Introduction
  • Data upload
  • Data conversion
  • Feature engineering
  • Data preparation best practices
  • Summary

1 Readings

  • Reading list

Model training

    • 7 Videos
    • 1 Readings
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Quiz

1 External Tool

  • Lab: Training a Model with Vertex AI Forecast

7 Videos

  • Introduction
  • Training setup
  • Context window and forecast horizon
  • Optimization objectives
  • Lab introduction
  • Coursera: Getting Started with Google Cloud Platform and Qwiklabs
  • Summary

1 Readings

  • Reading list

Model evaluation

    • 6 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Quiz

6 Videos

  • Introduction
  • Training data split
  • Backtesting
  • Evaluation metrics
  • Model improvement
  • Summary

1 Readings

  • Reading list

Model deployment

    • 5 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Quiz

5 Videos

  • Introduction
  • MLOps with Vertex AI Pipelines
  • Making predictions
  • Using predictions
  • Summary

1 Readings

  • Reading list

Model monitoring

    • 6 Videos
    • 1 Readings
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Quiz

1 External Tool

  • Lab: Building a Forecasting Pipeline with Vertex AI Python SDKs

6 Videos

  • Introduction
  • Model drift
  • Model retraining
  • Pipeline automation
  • Lab introduction
  • Summary

1 Readings

  • Reading list

Overview

    • 7 Videos
    • 1 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Lab: Developing an end-to-end forecasting solution in retail

7 Videos

  • Introduction
  • Use case background
  • Steps and considerations
  • Pilot study
  • Lessons
  • Lab introduction
  • Summary

1 Readings

  • Reading list

Overview

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Course summary

1 Readings

  • Reading list

Auto Summary

Explore the expert-level "Introduction to Vertex Forecasting and Time Series in Practice" course by Coursera, designed for IT and Computer Science enthusiasts. Delve into forecasting solutions with Google Cloud, covering sequence models, time series foundations, and a complete workflow from data prep to model deployment using Vertex AI. Learn from real-world retail use cases and build your own forecasting models. The course spans 900 minutes and offers Starter and Professional subscription options. Ideal for advanced learners aiming to master practical forecasting skills.

Google Cloud Training
Instructor

Google Cloud Training