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Build and explain core Azure AI solutions and exam-aligned AI concepts
This AI-900: Microsoft Azure AI Fundamentals session runs classroom and virtual-live in Lausanne / Morges - Switzerland on 29 June 2026. Delivered in EN.
Contact us for pricing
View course →1 day
Exam Included · Certification Available
IT Managers
Classify AI use cases before budget decisions
Business Analysts
Map business needs to Azure AI services
Risk Professionals
Evaluate AI workloads for governance and oversight
Train with practitioners. Pass with confidence.
Abilene Academy is the only PECB Titanium Partner in Switzerland — the highest accreditation tier in the industry — delivering certified training in information security, data protection, AI governance, and GRC compliance. 99% exam pass rate. 2,500+ professionals trained across 120+ countries and trusted by 600+ organizations. Multilingual programmes available.
Microsoft Trainings
A skilled specialist on Microsoft products. Has more than 15 years of empirical experience in several domains among which are Operations and Business Development, Commercial and Presales Consultancy, System and Security Engineering. Over the last five years, his training schedules extended to top executives and IT Business professionals in the Middle East, Europe, and USA.
Microsoft Trainings
Specialized in Web and Application Development and has done extensive research and implementation in Artificial Intelligence. Holder of a master’s degree in Mathematics, Ramzi is also a Microsoft Certified Trainer with more than 17 years of experience.
AI literacy becomes an operational requirement in 2025 and 2026. Teams face pressure to evaluate AI initiatives faster, document decisions, and explain why they select one service instead of another. European organizations also face sharper scrutiny on transparency, risk classification, and human oversight when they introduce AI into customer service, document processing, and content generation workflows. In that context, AI-900 matters because it gives professionals a structured way to explain what AI systems do, where Azure services fit, and which limits or controls apply before a project scales.
During the training, participants work through the Azure AI service landscape the way project teams face it in practice. They classify business scenarios into machine learning, computer vision, natural language processing, conversational AI, document intelligence, knowledge mining, or generative AI. They review image analysis, OCR, receipt extraction, speech recognition, translation, text analysis, bot capabilities, and Azure OpenAI use cases. They also connect each use case to the relevant Microsoft service and prepare for the logic and wording used in the AI-900 exam.
This course addresses gaps that many introductory AI courses ignore. Many teams can name an AI service but cannot justify the choice, define the workload correctly, or explain evidence quality and service boundaries to stakeholders. Others struggle when business, compliance, and technical teams use different language for the same problem. The training closes those gaps by focusing on service selection, workload framing, responsible AI principles, and communication that stands up in internal reviews and certification exams.
Participants leave able to explain Azure AI fundamentals clearly, identify the right service families for common scenarios, and distinguish vision, language, speech, search, and generative AI workloads without confusion. They can discuss responsible generative AI principles, interpret exam-style questions with precision, and move into more advanced Azure or AI governance training with a solid base. They also leave ready to sit the AI-900 exam and pursue the Microsoft Certified: Azure AI Fundamentals credential.
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This course runs multiple times per year, onsite and online.
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