{"id":24157,"date":"2025-09-09T13:03:40","date_gmt":"2025-09-09T12:03:40","guid":{"rendered":"https:\/\/staging.univga.org\/?post_type=courses&#038;p=24157"},"modified":"2026-05-06T16:02:04","modified_gmt":"2026-05-06T15:02:04","slug":"certified-health-ai-specialist-univga-2","status":"publish","type":"courses","link":"https:\/\/univga.org\/en\/courses\/specialiste-de-lia-en-sante-certifie-univga-2\/","title":{"rendered":"UNIVGA Certified AI Specialist in Healthcare"},"content":{"rendered":"<p>This training targets professionals who leverage AI for healthcare organizations and clinical systems. You will learn to master the complete chain: clinical data engineering (HL7 FHIR, DICOM), advanced modeling (CNN, Transformers), optimization, and deployment through standard practices and tools (Docker, Kubernetes, ONNX). The program integrates data governance, compliance with regulatory frameworks (GDPR, ISO 27799), and real case studies from healthcare institutions and private actors. The UNIVGA method combines <strong>MLOps<\/strong> By the end of the program, you will be able to industrialize clinical models, establish security and auditability practices, and manage end-to-end AI projects within mixed clinical\/IT teams. The training accelerates skill development to obtain technical or managerial responsibilities, facilitate internal mobility, and develop consulting or freelance offers. The UNIVGA Professional Certificate certifies your operational skills and enhances your visibility on your CV and LinkedIn. <strong>written courses<\/strong>, <strong>PDF supports<\/strong> and <strong>case studies<\/strong>, accessible 24\/7 asynchronously; expected pace: 5-8 hours\/week over ~2 months to balance training and professional activity.<\/p>\n<p>E-learning and Educational Technologies - UNIVGA GROUP<\/p>","protected":false},"excerpt":{"rendered":"<p>Cette formation vise les professionnels qui mettent l&rsquo;IA au service des organisations de sant\u00e9 et des dispositifs cliniques. Vous apprendrez \u00e0 ma\u00eetriser la cha\u00eene compl\u00e8te : ing\u00e9nierie des donn\u00e9es cliniques (HL7 FHIR, DICOM), mod\u00e9lisation avanc\u00e9e (CNN, Transformers), optimisation et mise en production via des pratiques MLOps et outils standards (Docker, Kubernetes, ONNX). 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