{"id":4864,"date":"2020-04-19T19:43:13","date_gmt":"2020-04-19T19:43:13","guid":{"rendered":"https:\/\/www.testpreptraining.com\/tutorial\/?page_id=4864"},"modified":"2020-04-19T19:43:13","modified_gmt":"2020-04-19T19:43:13","slug":"google-ai-platform-formerly-cloud-ml-engine-google-professional-data-engineer-gcp","status":"publish","type":"page","link":"https:\/\/www.testpreptraining.ai\/tutorial\/google-ai-platform-formerly-cloud-ml-engine-google-professional-data-engineer-gcp\/","title":{"rendered":"Google AI Platform (Formerly Cloud ML Engine) Google Professional Data Engineer GCP"},"content":{"rendered":"<ul>\n<li>used to train machine learning models at scale,<\/li>\n<li>to host trained model in the cloud,<\/li>\n<li>to use model to make predictions about new data.<\/li>\n<li>Machine Learning services by Google are\n<ul>\n<li>Machine Learning Engine<\/li>\n<li>Cloud Vision API<\/li>\n<li>Cloud Translation API<\/li>\n<li>Cloud AutoML<\/li>\n<li>BigQuery ML<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>services offered<\/p>\n<ul>\n<li>Prepare: use Cloud Storage or BigQuery to store data and use built-in data labeling service to label training data.<\/li>\n<li>Build and run: build ML applications on GCP with a managed Jupyter Notebook service providing fully configured environments<\/li>\n<li>Manage: can manage models, experiments, and end-to-end workflows using the AI Platform interface within the GCP console, or for on-premises using Kubeflow Pipelines.<\/li>\n<li>Share: discover ML pipelines, notebooks, and other AI content.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>used to train machine learning models at scale, to host trained model in the cloud, to use model to make predictions about new data. Machine Learning services by Google are Machine Learning Engine Cloud Vision API Cloud Translation API Cloud AutoML BigQuery ML services offered Prepare: use Cloud Storage or BigQuery to store data and&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[617],"tags":[619,623,726,622,618,621],"class_list":["post-4864","page","type-page","status-publish","hentry","category-google-gcp","tag-data-engineer","tag-gcp","tag-google-ai-platform-formerly-cloud-ml-engine","tag-google-certification","tag-google-cloud","tag-professional-data-engineer"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Google AI Platform (Formerly Cloud ML Engine) Google Professional Data Engineer GCP - Testprep Training Tutorials<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.testpreptraining.ai\/tutorial\/google-ai-platform-formerly-cloud-ml-engine-google-professional-data-engineer-gcp\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google AI Platform (Formerly Cloud ML Engine) Google Professional Data Engineer GCP - Testprep Training Tutorials\" \/>\n<meta property=\"og:description\" content=\"used to train machine learning models at scale, to host trained model in the cloud, to use model to make predictions about new data. 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