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 …

TL;DR

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 …

TL;DR

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 …

TL;DR

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

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 …

The AI ecosystem is evolving insanely fast. New tools, frameworks, and agent platforms are emerging every week.

Here’s a curated list of important AI tools, agent frameworks, and infrastructure layers you should know about in 2026.

Short descriptions. No fluff. Just signal.

🧠 AI Agent Frameworks

LangChain — The most widely …