{"id":28690,"date":"2026-06-07T05:46:43","date_gmt":"2026-06-07T05:46:43","guid":{"rendered":"https:\/\/www.cloudthat.com\/training\/?post_type=stm-courses&p=28690"},"modified":"2026-06-11T12:48:37","modified_gmt":"2026-06-11T12:48:37","slug":"vertex-forecasting-and-time-series-in-practice","status":"publish","type":"stm-courses","link":"https:\/\/www.cloudthat.com\/training\/google-cloud-certification\/vertex-forecasting-and-time-series-in-practice","title":{"rendered":"Vertex Forecasting and Time Series in Practice"},"content":{"rendered":"

This instructor-led course introduces learners to building forecasting solutions using Google Cloud and Vertex AI. Participants will explore time series analysis concepts, sequence models, forecasting methodologies, and machine learning workflows for predictive analytics.<\/span>\u00a0<\/span><\/p>\n

The course covers the complete forecasting lifecycle including data preparation, feature engineering, model training, evaluation, deployment, monitoring, and automation using Vertex AI Forecasting and Vertex AI Pipelines. Learners will also explore forecasting solutions using\u00a0BigQuery\u00a0ML and gain practical insights through a retail forecasting use case.<\/span>\u00a0<\/span><\/p>\n

Through guided labs, quizzes, demonstrations, and real-world forecasting scenarios, participants will gain practical experience building scalable end-to-end forecasting solutions on Google Cloud.<\/span><\/p>\n

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This instructor-led course introduces learners to building forecasting solutions using Google Cloud and Vertex AI. Participants will explore time series analysis concepts, sequence models, forecasting methodologies, and machine learning workflows for predictive analytics.\u00a0 The course covers the complete forecasting lifecycle including data preparation, feature engineering, model training, evaluation, deployment, monitoring, and automation using Vertex AI […]<\/p>\n","protected":false},"author":6436,"featured_media":12394,"template":"","meta":{"footnotes":""},"stm_lms_course_taxonomy":[58],"metadata":{"stm_lms_product_id":["28691"],"_edit_lock":["1781182000:6767"],"_edit_last":["6767"],"permalink_customizer":["google-cloud-certification\/vertex-forecasting-and-time-series-in-practice"],"permalink_customizer_regenerate_status":["1"],"popular_course":["0"],"_popular_course":["field_64253688bc2e5"],"course_banner_image":[""],"_course_banner_image":["field_63c69a6b81cf1"],"mobile_banner_image":[""],"_mobile_banner_image":["field_63cf93896d207"],"banner_link":[""],"_banner_link":["field_63c69a9681cf2"],"banner_image":[""],"_banner_image":["field_621873548f922"],"banner_description":["Learn how to build end-to-end forecasting solutions on Google Cloud using Vertex AI, AutoML Forecasting, BigQuery ML, Vertex AI Pipelines, and time series modeling techniques. "],"_banner_description":["field_612c733ed3564"],"overview_section_heading":["Overview of Vertex Forecasting and Time Series in Practice "],"_overview_section_heading":["field_64538867ffdd0"],"after_completing_course_heading":["After Completing Vertex Forecasting and Time Series in Practice students will be able to:"],"_after_completing_course_heading":["field_645c78ade3f50"],"after_completing_course":["10"],"_after_completing_course":["field_6103aae828228"],"key_features_heading":["Key Features of Vertex Forecasting and Time Series in Practice "],"_key_features_heading":["field_645388ceffdd1"],"key_features":["8"],"_key_features":["field_6103aaff28229"],"who_should_attend_heading":["Who should Attend Vertex Forecasting and Time Series in Practice?"],"_who_should_attend_heading":["field_645388faffdd2"],"who_should_attend":["6"],"_who_should_attend":["field_6103ab0d2822a"],"prerequisites_heading":["Prerequisites of Vertex Forecasting and Time Series in Practice "],"_prerequisites_heading":["field_64538a51ffdd3"],"prerequisites_text":["

  • Basic knowledge of Python syntax \r\n
  • Basic understanding of machine learning models \r\n
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