AI & Data
Microsoft AB-100: Enterprise AI Agents with Microsoft Foundry
Building an enterprise AI agent is less about finding a clever prompt and more about assembling a governed runtime around…
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AI & Data
Microsoft AB-100: AI Agent Orchestration for Business Workflows
Agentic AI becomes genuinely useful when it can participate in a business process rather than merely answer a question. That…
AI & Data
Microsoft AB-100: AI Agent Governance in Regulated Industries
AI agents create a governance problem that is different from ordinary chatbots. A chatbot primarily produces information. An agent can…
AI & Data
Microsoft AI-300: Responsible AI in Production
Responsible AI becomes concrete only when a system is exposed to real users, real data, and real consequences. Principles such…
AI & Data
Microsoft AI-300: Prompt Versioning and Release Management
A prompt is production logic when changing it can change what an AI application says or does. That makes prompt…
AI & Data
Microsoft AI-300: Model Evaluation & Monitoring in Microsoft Foundry
Putting a generative AI application into production creates two separate questions. The first is operational: is the service available, responsive,…
AI & Data
Microsoft AI-300: Managing Model and Data Drift
A machine-learning model can remain technically available while becoming less useful. The endpoint responds, latency stays normal, and error rates…
AI & Data
Microsoft AI-300: Generative AI MLOps in Azure
Generative AI changes the operating model of machine learning. A conventional model release can often be described in terms of…
AI & Data
Microsoft DP-700: Spark Notebooks in Microsoft Fabric
Notebooks are one of the most flexible ways to work with Apache Spark in Microsoft Fabric. They let a data…