Agent Platform Forecasting and Time Series in Practice
This 1-day course is an advanced introduction to building forecasting solutions on Google Cloud.
In Agent Platform Forecasting and Time Series in Practice, you start with sequence models and time series foundations, then walk through an end-to-end workflow, from data preparation to model development and deployment with Agent Platform. You close with the lessons and tips from a retail use case and apply them by building your own forecasting models.
Participants identify the options for developing a forecasting model on Google Cloud, prepare data (including ingestion and feature engineering) with BigQuery and Agent Platform managed datasets, train and evaluate a model using AutoML, and deploy and monitor it using Agent Platform Pipelines. The course has 10 modules and 4 labs, one of them optional.
The course is aimed at professional data analysts, data scientists and ML engineers who want to build end-to-end, high-performance forecasting solutions and add automation to the workflow. Participants need basic Python knowledge, a basic understanding of machine learning models and prior experience building machine learning solutions on Google Cloud.