Introduction to Vertex Forecasting and Time Series in Practice Training Logo

Introduction to Vertex Forecasting and Time Series in Practice Training

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The Introduction to Vertex Forecasting and Time Series in Practice course provides an overview of building and deploying forecasting models using Google Cloud’s Vertex AI, covering time series fundamentals, data preparation, model training, evaluation, and deployment for real-world forecasting scenarios.

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What is Introduction to Vertex Forecasting and Time Series in Practice Certification Training about?

 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.

What are the objectives of Introduction to Vertex Forecasting and Time Series in Practice Certification Training ?

  • Understand the main concepts and the applications of a sequence model, time series, and forecasting.
  • Identify the options to develop a forecasting model on Google Cloud.
  • Describe the workflow to develop a forecasting model by using Vertex AI.
  • Prepare data (including ingestion and feature engineering) by using BigQuery and Vertex managed datasets.
  • Train a forecasting model and evaluate the performance by using AutoML.
  • Deploy and monitor a forecasting model by using Vertex AI Pipelines. 
  • Build a forecasting solution from end-to-end using a retail dataset.

Who is Introduction to Vertex Forecasting and Time Series in Practice Certification Training for?

  •  Professional data analysts, data scientists, and ML engineers who want to build end-to-end high performance forecasting solutions on Google Cloud and add automation to the workflow.

What are the prerequisites for Introduction to Vertex Forecasting and Time Series in Practice Certification Training?

 Having one or more of the following:

  •   Basic knowledge of Python syntax
  •   Basic understanding of machine learning models
  •   Prior experience building machine learning solutions on Google Cloud

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

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  • This module addresses the reasons to build a forecasting solution on Google Cloud and introduces the learning objectives.
  • This module provides a theoretical foundation of types of sequence models, time series patterns and analysis, and forecasting notations.
  • This module introduces two major options to build a forecasting solution on Google Cloud: BigQuery ML and Vertex AI Forecast (AutoML). It also investigates the unique features of Vertex AI Forecast and explores an end-to-end workflow with AutoML.
  • This module explores the transformation of original data to the data types and format supported by Vertex AI. It also introduces the different types of features in time series and the best practices for data ingestion.
  • This module walks learners through the model training and demonstrates the configuration details such as the setup of context window, forecast horizon, and optimization objective.
  • This module describes the training data split, demonstrates the evaluation metrics, and recommends the approaches to improve the model performance.
  • This module demonstrates model prediction, specifically the batch prediction with Vertex AI Forecast. It also explores machine learning operations (MLOps) and the transition from development to production.
  • This module describes model drift and the approach of model retraining. It also demonstrates the automation of the forecasting workflow by using Vertex AI Pipelines.
  • This module describes a use case to build a forecasting solution with Vertex AI Forecast in a retail store. It demonstrates the steps and considerations, walks through a pilot study with two different datasets, and discusses the challenges and lessons.
  • This module addresses the main features of Vertex AI Forecast and summarizes the main topics of each module.
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Who is the instructor for this training?

The trainer for this Introduction to Vertex Forecasting and Time Series in Practice Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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Introduction to Vertex Forecasting and Time Series in Practice Certification Training - Certification & Exam

  • SpringPeople is the Authorized Training Partner of Google Cloud Platform.
  • The training fees is exclusive of exam cost.
  • For any queries; feel free to reach us at GCP@springpeople.com

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