Introduction to Vertex Forecasting and Time Series in Practice
Introduction to Vertex Forecasting and Time Series in Practice
These skills were generated by AI. Do you agree this course teaches these skills?
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.
课程信息
目标
- 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.
前提条件
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
受众
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.
支持的语言
English
学完本课程后，我可以做些什么？
学完本课程后，您可以探索学习路线 中的其他内容或浏览学习目录
我能获得什么徽章？
学完一门课程后，您将获得结业徽章。徽章可在个人资料中供查看，还可在社交网络上分享。
有兴趣通过我们的点播课程合作伙伴之一来学习本课程吗
在 Coursera 和 Pluralsight 上探索 Google Cloud 内容
更喜欢跟随讲师学习？