Partager sur votre flux LinkedIn Twitter Facebook

Google Cloud Skills Boost
Your Learning progress might get lost. Sign in or Join to save your progress.
close

Introduction to Vertex Forecasting and Time Series in Practice

Course navigate_next Présentation

Introduction to Vertex Forecasting and Time Series in Practice

magic_button Machine Learning Models Machine Learning Model Training Machine Learning Pipeline
These skills were generated by A.I. Do you agree this course teaches these skills?
24 heures Intermédiaire universal_currency_alt 11 crédits

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.

Terminez cette activité et gagnez un badge ! Boostez votre carrière dans le cloud en montrant les compétences que vous avez acquises.

Badge pour Introduction to Vertex Forecasting and Time Series in Practice
info
Informations sur le cours
Objectifs
  • Understand the key 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.
Prérequis
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
Cible
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.
Langues disponibles
English
Que faire après avoir terminé ce cours ?
Après avoir terminé ce cours, vous pouvez consulter des contenus supplémentaires de votre parcours de formation ou parcourir le catalogue de formations.
Quels badges pouvez-vous gagner ?
Lorsque vous terminez un cours, vous obtenez un badge de réussite. Vos badges s'affichent sur votre profil, et vous pouvez les partager sur les réseaux sociaux.
Vous souhaitez suivre ce cours à la demande avec l'un de nos partenaires ?
Consultez les contenus Google Cloud disponibles sur Coursera et Pluralsight.
Vous préférez suivre un cours animé par un formateur ?
Consultez le calendrier des formations en salle
Aperçu