{"id":5782,"date":"2026-08-27T09:20:51","date_gmt":"2026-08-27T09:20:51","guid":{"rendered":"https:\/\/iungo.solutions\/product\/microsoft-certified-azure-ai-fundamentals-ai-900\/"},"modified":"2026-08-27T19:58:04","modified_gmt":"2026-08-27T19:58:04","slug":"microsoft-certified-azure-ai-fundamentals-ai-900","status":"publish","type":"product","link":"https:\/\/iungo.solutions\/es\/producto\/microsoft-certified-azure-ai-fundamentals-ai-900\/","title":{"rendered":"Certificaci\u00f3n de Microsoft: Fundamentos de IA de Azure (AI-900)"},"content":{"rendered":"<p>The Microsoft Certified: Azure AI Fundamentals (AI-900) qualification introduces core principles of machine learning, computer vision, natural language processing, and generative AI on Azure. Aimed at product managers, line leads, and technical planners, this course outlines practical AI workloads and ethical considerations. Candidates learn to evaluate artificial intelligence capability to automate routine operational tasks. 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Aimed at product managers, line leads, and technical planners, this course outlines practical AI workloads and ethical considerations. Candidates learn to evaluate artificial intelligence capability to automate routine operational tasks. Training your staff to AI-900 standards helps bridge the gap between business strategy and emerging technologies, enabling your organisation to identify realistic automation opportunities and deploy AI solutions responsibly.","assessment":"Candidates participate in continuous formative evaluations throughout the course, engaging with interactive knowledge checks, scenario-based practice questions, and mock examinations to monitor progress. Summative evaluation is conducted via the official invigilated Microsoft Azure AI Fundamentals (AI-900) examination, a 45-minute closed-book assessment featuring multiple-choice, drag-and-drop, and matching items. Candidates must achieve a scaled score of 700 out of 1000 or higher to demonstrate foundational competence and earn their certification.  ","progression":"Achieving this certification opens direct pathways into entry-level technical and operational roles, such as AI Project Coordinator, Junior Cloud Analyst, Business Intelligence Assistant, and Technology Consultant. Successful candidates are ideally positioned to advance towards role-based Associate credentials, including Microsoft Certified: Azure AI Engineer Associate (AI-102) or Microsoft Certified: Azure Data Scientist Associate (DP-100). Furthermore, this credential provides an authoritative stepping stone towards executive post-candidate study in artificial intelligence strategy and digital transformation.","entry_requirements":"There are no formal academic or technical prerequisites required to enrol in this foundational course, making it accessible to technical and non-technical professionals alike. A foundational awareness of internet technologies and general computing concepts is recommended to ensure optimal learning outcomes.  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