TL;DR: Responsible AI in Microsoft Foundry is not a final “safety layer” you add at the end. It is a development process: discover risks, measure them, mitigate them, then govern the system in production. Microsoft’s learning module on responsible AI walks through that lifecycle in 9 units, and …

TL;DR: The Microsoft Learn module on optimizing generative AI model performance is really about one big idea: don’t treat model quality, grounding, and fine-tuning as separate conversations. In Microsoft Foundry, you improve performance by combining prompt engineering, RAG, and fine-tuning in the right order, then validating the result …

TL;DR: Modern generative AI apps are no longer just “chat interfaces.” The real power comes when models can use tools—call APIs, query databases, trigger workflows, and interact with enterprise systems. Using capabilities like function calling (via the Responses API), Azure AI integrations, and agent orchestration, you can turn …

TL;DR: Microsoft Foundry gives you a practical, enterprise-friendly path to build chat apps around modern model endpoints, SDKs, and identity-aware access. The training module walks you through the real build flow: explore models in the chat playground, choose the right endpoint and SDK, then implement with either the Responses …