{"course":{"productid":35160,"modality":1,"active":true,"language":"fr","title":"Vertex AI for Machine Learning Practitioners","productcode":"VAIMLP","vendorcode":"GO","vendorname":"Google","fullproductcode":"GO-VAIMLP","courseware":{"has_ekit":false,"has_printkit":true,"language":""},"url":"https:\/\/portal.flane.ch\/course\/google-vaimlp","objective":"<p>By the end of the course, learners will be able to:<\/p>\n<ul>\n<li>Understand the key components of Vertex AI and how they work together to support your ML workflows.<\/li><li>Configure and launch Vertex AI Custom Training and Hyperparameter Tuning Jobs to optimize model performance.<\/li><li>Organize and version your models using Vertex AI Model Registry for easy access and tracking.<\/li><li>Configure serving clusters and deploy models for online predictions with Vertex AI Endpoints.<\/li><li>Operationalize and orchestrate end-to-end ML workflows with Vertex AI Pipelines for increased efficiency and scalability.<\/li><li>Configure and set up monitoring on deployed models<\/li><\/ul>","essentials":"<p>Experience building and training custom ML models. Familiar with Docker.<\/p>","audience":"<p>Machine Learning Engineers, Data Scientists<\/p>","outline":"<h5>Module 1 - Training, Tuning, and Deploying Models on Vertex AI<\/h5><ul>\n<li>Understand Containerized Training Applications<\/li><li>Understand Vertex AI Custom Training and Tuning Jobs<\/li><li>Understand how to track and version your trained models in Vertex AI Model Registry<\/li><li>Understand Online Deployment with Vertex AI Endpoints<\/li><\/ul><h5>Module 2 - Orchestrating end-to-end Workflows with Vertex AI Pipelines<\/h5><ul>\n<li>Understand Kubeflow<\/li><li>Understand pre-built and lightweight Python components<\/li><li>Understand how to compile and execute pipelines on Vertex AI<\/li><\/ul><h5>Module 3 - Model Monitoring on Vertex AI<\/h5><ul>\n<li>Understand Feature Drift and Skew<\/li><li>Understand Model Monitoring for models deployed to Vertex AI Endpoints<\/li><\/ul>","summary":"<p>This instructor-led one-day course is designed for engineers and data scientists familiar with machine learning models who want to become proficient in using Vertex AI for custom model workflows. This practical, hands-on course will provide you with a deep dive into the core functionalities of Vertex AI, enabling you to effectively leverage its tools and capabilities for your ML projects.<\/p>","objective_plain":"By the end of the course, learners will be able to:\n\n\n- Understand the key components of Vertex AI and how they work together to support your ML workflows.\n- Configure and launch Vertex AI Custom Training and Hyperparameter Tuning Jobs to optimize model performance.\n- Organize and version your models using Vertex AI Model Registry for easy access and tracking.\n- Configure serving clusters and deploy models for online predictions with Vertex AI Endpoints.\n- Operationalize and orchestrate end-to-end ML workflows with Vertex AI Pipelines for increased efficiency and scalability.\n- Configure and set up monitoring on deployed models","essentials_plain":"Experience building and training custom ML models. Familiar with Docker.","audience_plain":"Machine Learning Engineers, Data Scientists","outline_plain":"Module 1 - Training, Tuning, and Deploying Models on Vertex AI\n\n\n- Understand Containerized Training Applications\n- Understand Vertex AI Custom Training and Tuning Jobs\n- Understand how to track and version your trained models in Vertex AI Model Registry\n- Understand Online Deployment with Vertex AI Endpoints\nModule 2 - Orchestrating end-to-end Workflows with Vertex AI Pipelines\n\n\n- Understand Kubeflow\n- Understand pre-built and lightweight Python components\n- Understand how to compile and execute pipelines on Vertex AI\nModule 3 - Model Monitoring on Vertex AI\n\n\n- Understand Feature Drift and Skew\n- Understand Model Monitoring for models deployed to Vertex AI Endpoints","summary_plain":"This instructor-led one-day course is designed for engineers and data scientists familiar with machine learning models who want to become proficient in using Vertex AI for custom model workflows. This practical, hands-on course will provide you with a deep dive into the core functionalities of Vertex AI, enabling you to effectively leverage its tools and capabilities for your ML projects.","skill_level":"Intermediate","version":"1.0","duration":{"unit":"d","value":1,"formatted":"1 jour"},"pricelist":{"List Price":{"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":850},"IT":{"country":"IT","currency":"EUR","taxrate":20,"price":650},"US":{"country":"US","currency":"USD","taxrate":null,"price":595},"GB":{"country":"GB","currency":"GBP","taxrate":20,"price":660},"CA":{"country":"CA","currency":"CAD","taxrate":null,"price":820},"DE":{"country":"DE","currency":"EUR","taxrate":19,"price":950},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":950},"SE":{"country":"SE","currency":"EUR","taxrate":25,"price":950},"FR":{"country":"FR","currency":"EUR","taxrate":19.6,"price":790}}},"lastchanged":"2025-09-30T15:56:14+02:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-course-schedule\/35160","source_lang":"fr","source":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-course\/google-vaimlp"}}