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Microsoft’s Integrate your agent with Microsoft 365 module teaches how to publish a Foundry agent into Microsoft Teams and Microsoft 365 Copilot, use Work IQ to ground the agent in workplace data, and test/troubleshoot the integrated experience. The module is intermediate-level, spans 9 units, and is …

TL;DR

Built-in agent tools are useful, but they do not cover every enterprise scenario. Microsoft’s Integrate custom tools into your agent module teaches you how to extend a Foundry agent with your own APIs, services, or even other agents. The module is aimed at intermediate developers, AI engineers …

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Microsoft’s Integrate MCP Tools with Azure AI Agents module shows how to connect Foundry agents to Model Context Protocol (MCP) servers so the agent can dynamically discover and call external tools at runtime. The module is intermediate, spans 7 units, and focuses on three practical skills: understanding …

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Microsoft’s “Develop AI agents with Microsoft Foundry and Visual Studio Code” module is about building agents the way real teams ship software: in a proper development environment, with a managed agent platform, testing in integrated playgrounds, and deployment into applications. The module teaches the basics of AI …

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Microsoft’s Develop AI agents on Azure learning path is not about building a chatbot with a fancy prompt. It is about learning how to build production-grade agents using Microsoft Foundry Agent Service and Microsoft Agent Framework, with the full stack: IDE-based development, custom tools, MCP, enterprise knowledge …

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 …

TL;DR

This Microsoft Learn path is not just about “building a chatbot.” It is a six-module progression that takes you from planning your Azure AI environment, to selecting and evaluating models, to building chat apps, adding tools, tuning performance with prompt engineering/RAG/fine-tuning, and finally shipping responsibly. It …