[{"id":"59860","title":"Introduction","description":"

This module addresses the reasons to build a forecasting solution on Google Cloud and introduces the learning objectives.

","steps":[{"id":"390324","prompt":null,"isOptional":true,"activities":[{"id":"382975","href":"/course_templates/511/video/382975?locale=ar","isLocked":false,"duration":140000,"title":"Course Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390325","prompt":null,"isOptional":true,"activities":[{"id":"382976","href":"/course_templates/511/documents/382976?locale=ar","isLocked":false,"duration":1800000,"title":"Reading list","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"59861","title":"Time series and forecasting fundamentals","description":"

This module provides a theoretical foundation of types of sequence models, time series patterns and analysis, and forecasting notations.

","steps":[{"id":"390326","prompt":null,"isOptional":true,"activities":[{"id":"382977","href":"/course_templates/511/video/382977?locale=ar","isLocked":false,"duration":161000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390327","prompt":null,"isOptional":true,"activities":[{"id":"382978","href":"/course_templates/511/video/382978?locale=ar","isLocked":false,"duration":386000,"title":"Sequence models","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390328","prompt":null,"isOptional":true,"activities":[{"id":"382979","href":"/course_templates/511/video/382979?locale=ar","isLocked":false,"duration":254000,"title":"Time series patterns","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390329","prompt":null,"isOptional":true,"activities":[{"id":"382980","href":"/course_templates/511/video/382980?locale=ar","isLocked":false,"duration":324000,"title":"Time series analysis","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390330","prompt":null,"isOptional":true,"activities":[{"id":"382981","href":"/course_templates/511/video/382981?locale=ar","isLocked":false,"duration":327000,"title":"Forecasting notations","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390331","prompt":null,"isOptional":true,"activities":[{"id":"382982","href":"/course_templates/511/video/382982?locale=ar","isLocked":false,"duration":148000,"title":"Summary","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390332","prompt":null,"isOptional":false,"activities":[{"id":"382983","href":"/course_templates/511/quizzes/382983?locale=ar","isLocked":false,"duration":1200000,"title":"Quiz","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390333","prompt":null,"isOptional":true,"activities":[{"id":"382984","href":"/course_templates/511/documents/382984?locale=ar","isLocked":false,"duration":1800000,"title":"Reading list","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"59862","title":"Forecasting options on Google Cloud","description":"

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.

","steps":[{"id":"390334","prompt":null,"isOptional":true,"activities":[{"id":"382985","href":"/course_templates/511/video/382985?locale=ar","isLocked":false,"duration":74000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390335","prompt":null,"isOptional":true,"activities":[{"id":"382986","href":"/course_templates/511/video/382986?locale=ar","isLocked":false,"duration":363000,"title":"Forecasting options","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390336","prompt":null,"isOptional":true,"activities":[{"id":"382987","href":"/course_templates/511/video/382987?locale=ar","isLocked":false,"duration":336000,"title":"Forecasting with BigQuery ML","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390337","prompt":null,"isOptional":true,"activities":[{"id":"382988","href":"/course_templates/511/video/382988?locale=ar","isLocked":false,"duration":197000,"title":"Vertex AI","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390338","prompt":null,"isOptional":true,"activities":[{"id":"382989","href":"/course_templates/511/video/382989?locale=ar","isLocked":false,"duration":421000,"title":"Vertex AI Forecast workflow","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390339","prompt":null,"isOptional":true,"activities":[{"id":"382990","href":"/course_templates/511/video/382990?locale=ar","isLocked":false,"duration":41000,"title":"Lab introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390340","prompt":null,"isOptional":true,"activities":[{"id":"382991","href":"/course_templates/511/video/382991?locale=ar","isLocked":false,"duration":120000,"title":"Summary","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390341","prompt":null,"isOptional":false,"activities":[{"id":"382992","href":"/course_templates/511/quizzes/382992?locale=ar","isLocked":false,"duration":900000,"title":"Quiz","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390342","prompt":null,"isOptional":true,"activities":[{"id":"382993","href":"/course_templates/511/documents/382993?locale=ar","isLocked":false,"duration":1800000,"title":"Reading list","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390343","prompt":null,"isOptional":false,"activities":[{"id":"382994","href":"/course_templates/511/labs/382994?locale=ar","isLocked":false,"duration":3600000,"title":"Building Demand Forecasting with BigQuery ML","description":"In this lab you will build a time series model to forcast demand of multiple products using BigQuery ML. This lab is based on a blog post and featured in an episode of Cloud OnAir.","type":"lab","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"59863","title":"Data preparation","description":"

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.

","steps":[{"id":"390344","prompt":null,"isOptional":true,"activities":[{"id":"382995","href":"/course_templates/511/video/382995?locale=ar","isLocked":false,"duration":157000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390345","prompt":null,"isOptional":true,"activities":[{"id":"382996","href":"/course_templates/511/video/382996?locale=ar","isLocked":false,"duration":299000,"title":"Data upload","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390346","prompt":null,"isOptional":true,"activities":[{"id":"382997","href":"/course_templates/511/video/382997?locale=ar","isLocked":false,"duration":0,"title":"Data conversion","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390347","prompt":null,"isOptional":true,"activities":[{"id":"382998","href":"/course_templates/511/video/382998?locale=ar","isLocked":false,"duration":166000,"title":"Feature engineering","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390348","prompt":null,"isOptional":true,"activities":[{"id":"382999","href":"/course_templates/511/video/382999?locale=ar","isLocked":false,"duration":327000,"title":"Data preparation best practices","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390349","prompt":null,"isOptional":true,"activities":[{"id":"383000","href":"/course_templates/511/video/383000?locale=ar","isLocked":false,"duration":109000,"title":"Summary","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390350","prompt":null,"isOptional":false,"activities":[{"id":"383001","href":"/course_templates/511/quizzes/383001?locale=ar","isLocked":false,"duration":1200000,"title":"Quiz","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390351","prompt":null,"isOptional":true,"activities":[{"id":"383002","href":"/course_templates/511/documents/383002?locale=ar","isLocked":false,"duration":1800000,"title":"Reading list","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"59864","title":"Model training","description":"

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.

","steps":[{"id":"390352","prompt":null,"isOptional":true,"activities":[{"id":"383003","href":"/course_templates/511/video/383003?locale=ar","isLocked":false,"duration":86000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390353","prompt":null,"isOptional":true,"activities":[{"id":"383004","href":"/course_templates/511/video/383004?locale=ar","isLocked":false,"duration":327000,"title":"Training setup","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390354","prompt":null,"isOptional":true,"activities":[{"id":"383005","href":"/course_templates/511/video/383005?locale=ar","isLocked":false,"duration":254000,"title":"Context window and forecast horizon","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390355","prompt":null,"isOptional":true,"activities":[{"id":"383006","href":"/course_templates/511/video/383006?locale=ar","isLocked":false,"duration":423000,"title":"Optimization objectives","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390356","prompt":null,"isOptional":true,"activities":[{"id":"383007","href":"/course_templates/511/video/383007?locale=ar","isLocked":false,"duration":41000,"title":"Lab introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390357","prompt":null,"isOptional":true,"activities":[{"id":"383008","href":"/course_templates/511/video/383008?locale=ar","isLocked":false,"duration":80000,"title":"Summary","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390358","prompt":null,"isOptional":false,"activities":[{"id":"383009","href":"/course_templates/511/quizzes/383009?locale=ar","isLocked":false,"duration":600000,"title":"Quiz","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390359","prompt":null,"isOptional":true,"activities":[{"id":"383010","href":"/course_templates/511/documents/383010?locale=ar","isLocked":false,"duration":1800000,"title":"Reading list","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390360","prompt":null,"isOptional":false,"activities":[{"id":"383011","href":"/course_templates/511/labs/383011?locale=ar","isLocked":false,"duration":3600000,"title":"Training a model with Vertex AI Forecast","description":"Training a model with Vertex AI Forecast","type":"lab","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"59865","title":"Model evaluation","description":"

This module describes the training data split, demonstrates the evaluation metrics, and recommends the approaches to improve the model performance.

","steps":[{"id":"390361","prompt":null,"isOptional":true,"activities":[{"id":"383012","href":"/course_templates/511/video/383012?locale=ar","isLocked":false,"duration":61000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390362","prompt":null,"isOptional":true,"activities":[{"id":"383013","href":"/course_templates/511/video/383013?locale=ar","isLocked":false,"duration":353000,"title":"Training data split","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390363","prompt":null,"isOptional":true,"activities":[{"id":"383014","href":"/course_templates/511/video/383014?locale=ar","isLocked":false,"duration":230000,"title":"Backtesting","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390364","prompt":null,"isOptional":true,"activities":[{"id":"383015","href":"/course_templates/511/video/383015?locale=ar","isLocked":false,"duration":214000,"title":"Evaluation metrics","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390365","prompt":null,"isOptional":true,"activities":[{"id":"383016","href":"/course_templates/511/video/383016?locale=ar","isLocked":false,"duration":110000,"title":"Model improvement","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390366","prompt":null,"isOptional":true,"activities":[{"id":"383017","href":"/course_templates/511/video/383017?locale=ar","isLocked":false,"duration":81000,"title":"Summary","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390367","prompt":null,"isOptional":false,"activities":[{"id":"383018","href":"/course_templates/511/quizzes/383018?locale=ar","isLocked":false,"duration":900000,"title":"Quiz","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390368","prompt":null,"isOptional":true,"activities":[{"id":"383019","href":"/course_templates/511/documents/383019?locale=ar","isLocked":false,"duration":1800000,"title":"Reading list","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"59866","title":"Model deployment","description":"

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.

","steps":[{"id":"390369","prompt":null,"isOptional":true,"activities":[{"id":"383020","href":"/course_templates/511/video/383020?locale=ar","isLocked":false,"duration":82000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390370","prompt":null,"isOptional":true,"activities":[{"id":"383021","href":"/course_templates/511/video/383021?locale=ar","isLocked":false,"duration":264000,"title":"MLOps with Vertex AI Pipelines","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390371","prompt":null,"isOptional":true,"activities":[{"id":"383022","href":"/course_templates/511/video/383022?locale=ar","isLocked":false,"duration":248000,"title":"Making predictions","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390372","prompt":null,"isOptional":true,"activities":[{"id":"383023","href":"/course_templates/511/video/383023?locale=ar","isLocked":false,"duration":93000,"title":"Using predictions","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390373","prompt":null,"isOptional":true,"activities":[{"id":"383024","href":"/course_templates/511/video/383024?locale=ar","isLocked":false,"duration":75000,"title":"Summary","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390374","prompt":null,"isOptional":false,"activities":[{"id":"383025","href":"/course_templates/511/quizzes/383025?locale=ar","isLocked":false,"duration":600000,"title":"Quiz","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390375","prompt":null,"isOptional":true,"activities":[{"id":"383026","href":"/course_templates/511/documents/383026?locale=ar","isLocked":false,"duration":1800000,"title":"Reading list","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"59867","title":"Model monitoring","description":"

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.

","steps":[{"id":"390376","prompt":null,"isOptional":true,"activities":[{"id":"383027","href":"/course_templates/511/video/383027?locale=ar","isLocked":false,"duration":69000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390377","prompt":null,"isOptional":true,"activities":[{"id":"383028","href":"/course_templates/511/video/383028?locale=ar","isLocked":false,"duration":261000,"title":"Model drift","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390378","prompt":null,"isOptional":true,"activities":[{"id":"383029","href":"/course_templates/511/video/383029?locale=ar","isLocked":false,"duration":86000,"title":"Model retraining","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390379","prompt":null,"isOptional":true,"activities":[{"id":"383030","href":"/course_templates/511/video/383030?locale=ar","isLocked":false,"duration":170000,"title":"Pipeline automation","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390380","prompt":null,"isOptional":true,"activities":[{"id":"383031","href":"/course_templates/511/video/383031?locale=ar","isLocked":false,"duration":58000,"title":"Lab introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390381","prompt":null,"isOptional":true,"activities":[{"id":"383032","href":"/course_templates/511/video/383032?locale=ar","isLocked":false,"duration":117000,"title":"Summary","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390382","prompt":null,"isOptional":false,"activities":[{"id":"383033","href":"/course_templates/511/quizzes/383033?locale=ar","isLocked":false,"duration":900000,"title":"Quiz","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390383","prompt":null,"isOptional":true,"activities":[{"id":"383034","href":"/course_templates/511/documents/383034?locale=ar","isLocked":false,"duration":1800000,"title":"Reading list","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390384","prompt":null,"isOptional":true,"activities":[{"id":"383035","href":"/course_templates/511/labs/383035?locale=ar","isLocked":false,"duration":7200000,"title":"Building a Forecasting Pipeline Using Vertex AI Python SDKs","description":"Building a Forecasting Pipeline Using Vertex AI Python SDKs","type":"lab","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"59868","title":"Vertex forecasting in retail","description":"

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.

","steps":[{"id":"390385","prompt":null,"isOptional":true,"activities":[{"id":"383036","href":"/course_templates/511/video/383036?locale=ar","isLocked":false,"duration":76000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390386","prompt":null,"isOptional":true,"activities":[{"id":"383037","href":"/course_templates/511/video/383037?locale=ar","isLocked":false,"duration":345000,"title":"Use case background","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390387","prompt":null,"isOptional":true,"activities":[{"id":"383038","href":"/course_templates/511/video/383038?locale=ar","isLocked":false,"duration":193000,"title":"Steps and considerations","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390388","prompt":null,"isOptional":true,"activities":[{"id":"383039","href":"/course_templates/511/video/383039?locale=ar","isLocked":false,"duration":300000,"title":"Pilot study","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390389","prompt":null,"isOptional":true,"activities":[{"id":"383040","href":"/course_templates/511/video/383040?locale=ar","isLocked":false,"duration":432000,"title":"Lessons","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390390","prompt":null,"isOptional":true,"activities":[{"id":"383041","href":"/course_templates/511/video/383041?locale=ar","isLocked":false,"duration":41000,"title":"Lab introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390391","prompt":null,"isOptional":true,"activities":[{"id":"383042","href":"/course_templates/511/video/383042?locale=ar","isLocked":false,"duration":161000,"title":"Summary","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390392","prompt":null,"isOptional":true,"activities":[{"id":"383043","href":"/course_templates/511/documents/383043?locale=ar","isLocked":false,"duration":1800000,"title":"Reading list","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390393","prompt":null,"isOptional":false,"activities":[{"id":"383044","href":"/course_templates/511/labs/383044?locale=ar","isLocked":false,"duration":10800000,"title":"Developing an End-to-end Forecasting Solution in Retail","description":"Developing an End-to-end Forecasting Solution in Retail","type":"lab","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"59869","title":"Summary","description":"

This module addresses the main features of Vertex AI Forecast and summarizes the main topics of each module.

","steps":[{"id":"390394","prompt":null,"isOptional":true,"activities":[{"id":"383045","href":"/course_templates/511/video/383045?locale=ar","isLocked":false,"duration":501000,"title":"Course summary","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"390395","prompt":null,"isOptional":true,"activities":[{"id":"383046","href":"/course_templates/511/documents/383046?locale=ar","isLocked":false,"duration":1800000,"title":"Reading list","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"next-steps","title":"Your Next Steps","description":null,"steps":[{"id":"badge-step","prompt":null,"isOptional":true,"activities":[{"id":"badge","href":null,"isLocked":true,"duration":null,"title":"Course Badge","description":null,"type":"badge","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":true}]

Introduction to Vertex Forecasting and Time Series in Practice