Microsoft AI-300 Questions: Why Managing AI in Production Matters More Than Model Training
Building or training an AI model is only one part of the challenge in Microsoft AI-300. The difficult part is understanding how that model should be managed, deployed, monitored, evaluated, and improved once it becomes part of a real production environment. AI-300 focuses on MLOps and GenAIOps across Azure, including model lifecycle operations, production deployments, monitoring, generative AI evaluation, observability, and performance optimization.