{"id":28575,"date":"2026-06-07T05:35:01","date_gmt":"2026-06-07T05:35:01","guid":{"rendered":"https:\/\/www.cloudthat.com\/training\/?post_type=stm-courses&p=28575"},"modified":"2026-06-11T12:50:12","modified_gmt":"2026-06-11T12:50:12","slug":"gemini-in-bigquery-for-data-practitioners","status":"publish","type":"stm-courses","link":"https:\/\/www.cloudthat.com\/training\/google-cloud-certification\/gemini-in-bigquery-for-data-practitioners","title":{"rendered":"Gemini in BigQuery for Data Practitioners"},"content":{"rendered":"

This instructor-led course\u00a0demonstrates\u00a0how to use Gemini in\u00a0BigQuery\u00a0for Generative AI and AI\/ML-powered analytics workflows. Through practical business scenarios involving customer relationship management and unstructured data analysis, learners will explore how Gemini enhances productivity across the data-to-AI lifecycle.<\/span>\u00a0<\/span><\/p>\n

Participants will learn how to explore and prepare data using Insights and Table Explorer, develop code with Gemini\u00a0assistance, visualize workflows using Data Canvas, and leverage\u00a0BigQuery\u00a0ML and Gemini models for predictive and generative AI tasks. The course also provides guided implementation using SQL queries and Python notebooks for practical AI-powered analytics solutions.<\/span>\u00a0<\/span><\/p>\n

Through hands-on labs and real-world use cases, learners will gain practical experience integrating Gemini capabilities into modern data analytics and machine learning workflows on Google Cloud. <\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

This instructor-led course\u00a0demonstrates\u00a0how to use Gemini in\u00a0BigQuery\u00a0for Generative AI and AI\/ML-powered analytics workflows. Through practical business scenarios involving customer relationship management and unstructured data analysis, learners will explore how Gemini enhances productivity across the data-to-AI lifecycle.\u00a0 Participants will learn how to explore and prepare data using Insights and Table Explorer, develop code with Gemini\u00a0assistance, visualize […]<\/p>\n","protected":false},"author":6436,"featured_media":12394,"template":"","meta":{"footnotes":""},"stm_lms_course_taxonomy":[58],"metadata":{"stm_lms_product_id":["28576"],"_edit_lock":["1781182101:6767"],"_edit_last":["6767"],"permalink_customizer":["google-cloud-certification\/gemini-in-bigquery-for-data-practitioners"],"permalink_customizer_regenerate_status":["1"],"_thumbnail_id":["12394"],"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 use Gemini in BigQuery to explore data, generate code, visualize workflows, and build AI-powered analytics solutions using SQL queries, BigQuery ML, and Python notebooks on Google Cloud."],"_banner_description":["field_612c733ed3564"],"overview_section_heading":["Course Overview of Gemini in BigQuery for Data Practitioners "],"_overview_section_heading":["field_64538867ffdd0"],"after_completing_course_heading":["After completing Gemini in BigQuery for Data Practitioners, 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 Gemini in BigQuery for Data Practitioners "],"_key_features_heading":["field_645388ceffdd1"],"key_features":["8"],"_key_features":["field_6103aaff28229"],"who_should_attend_heading":["Who should Attend Gemini in BigQuery for Data Practitioners?"],"_who_should_attend_heading":["field_645388faffdd2"],"who_should_attend":["8"],"_who_should_attend":["field_6103ab0d2822a"],"prerequisites_heading":["Prerequisites of Gemini in BigQuery for Data Practitioners "],"_prerequisites_heading":["field_64538a51ffdd3"],"prerequisites_text":["

  • Prior experience with SQL and\/or Python programming\r\n
  • Basic knowledge of machine learning concepts \r\n
  • Basic understanding of Generative AI \r\n
  • Familiarity with data analytics workflows is recommended \r\n
  • Interest in AI-powered analytics and data exploration 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