The AI-900 exam leads to the Microsoft Certified: Azure AI Fundamentals credential, which validates foundational knowledge of AI concepts and Azure AI services. It is designed for IT managers evaluating first AI use cases, business analysts mapping operational needs to Azure service families, and cybersecurity or compliance professionals who need to discuss AI governance credibly.
The AI-900 exam leads to the Microsoft Certified: Azure AI Fundamentals credential, which validates foundational knowledge of AI concepts and Azure AI services. It is designed for non-technical professionals who need to understand, evaluate, and communicate about AI capabilities.
Target participants include IT managers evaluating first AI use cases, business analysts mapping operational needs to Azure service families, and cybersecurity or compliance professionals who need to discuss AI governance credibly with delivery teams.
No hands-on AI engineering background is required — basic digital literacy and general cloud awareness are sufficient. The course is delivered in one day and costs CHF 71 in Switzerland.
Non-technical professionals who skip AI-900 and participate in AI initiative discussions using vendor marketing language consistently misjudge service capabilities and make incorrect scope decisions. They confuse 'AI-powered' with the specific workload category being deployed — which creates downstream misalignment between business requirements and technical delivery that is expensive to fix.
Well-prepared AI-900 candidates arrive with concrete scenarios from their own organization. They spend the course mapping Azure service families to real use cases they own — not generic textbook examples. They leave with a structured framework for evaluating AI proposals from vendors and technical teams, which is exactly what the role requires.
“The person who can ask the right questions about an AI system is as valuable as the person who builds it. AI-900 builds the first kind.”
This course prepares participants to design, implement, and manage enterprise-scale analytics solutions with Microsoft Fabric. It addresses the operational reality of modern analytics teams that must ingest, model, secure, and serve data across lakehouses, warehouses, pipelines, notebooks, and semantic models. Participants work across the full delivery chain from ingestion to governed reporting performance. Abilene Academy teaches the official Microsoft curriculum through active consultants who translate platform features into delivery decisions and exam-ready execution. It is designed for experienced data professionals who already build models, transform data, and deliver analytics outputs.
View courseAZ-900 is a one-day course that builds foundational knowledge of Microsoft Azure. It covers cloud concepts, core Azure services, and the solutions and management tools used to run workloads.
View courseThis course prepares participants to design, build, and deploy AI applications using Azure AI services and Azure AI Foundry. Participants address real implementation challenges such as integrating document intelligence, orchestrating multi turn conversations, and deploying vision models at scale. They also handle API based architectures, SDK integration, and performance constraints across services. Abilene Academy uses consultant led labs and real deployment scenarios rather than theoretical walkthroughs. This course targets developers and engineers building production AI systems on Azure.
View courseNo technical or coding experience is required for AI-900. The course and exam are designed for professionals with basic digital literacy and general awareness of cloud applications.
byEmmanuel LORANG
The AI-900 exam covers Azure AI workloads including machine learning, computer vision, natural language processing, conversational AI, document intelligence, and generative AI. Candidates must classify AI scenarios, map them to Azure services, and describe responsible AI principles.
byLekë ZOGAJ
AI-900 is a foundational certification covering AI concepts and Azure service categories — it is appropriate for non-technical roles who need to understand and evaluate AI solutions. AI-102 is a technical certification requiring coding experience in Python or C# and validates the ability to build and deploy AI applications on Azure.
byEmmanuel LORANG
No technical or coding experience is required for AI-900. The course and exam are designed for professionals with basic digital literacy and general awareness of cloud applications.
AI-900 is a foundational certification covering AI concepts and Azure service categories — it is appropriate for non-technical roles who need to understand and evaluate AI solutions. AI-102 is a technical certification requiring coding experience in Python or C# and validates the ability to build and deploy AI applications on Azure.
The AI-900 exam covers Azure AI workloads including machine learning, computer vision, natural language processing, conversational AI, document intelligence, and generative AI. Candidates must classify AI scenarios, map them to Azure services, and describe responsible AI principles.
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