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Sessions are guaranteed from 1 registered participant (except in cases of force majeure). A preliminary interview takes place between the participant and/or a company representative to properly account for the participant’s profile (level, needs, professional context, challenges…).
Assessment: during the training, the trainer evaluates the pedagogical progress of participants through MCQs, role-play scenarios and practical exercises. Participants receive a certificate of skills validation at the end of the training.
This training course is part of our Artificial Intelligence Training Courses. Explore our other AI training courses to fully leverage machine learning, LLMs and generative AI.
Upon completion of the training, the participant will be able to:
Azure AI agents are autonomous or semi-autonomous AI components built on Azure OpenAI Service that can plan, call tools, retrieve information, and complete multi-step tasks on behalf of a user. They are typically constructed using Azure AI Foundry (formerly Azure AI Studio), the Assistants API, or Semantic Kernel, with grounding in enterprise data via Azure AI Search. MFE-IT trains professionals on building, deploying, and securing AI agents on Azure through the AI-3026 curriculum.
AI-3026 is Microsoft’s official training designation for building AI agents on Azure. It covers agent design patterns, tool calling, RAG (retrieval-augmented generation), evaluation, deployment, and monitoring within Azure AI Foundry. It targets developers and AI engineers wanting to ship production agents. The MFE-IT Azure AI Agents AI-3026 training delivers the full Microsoft curriculum with extra hands-on practice in groups of 1 to 3 participants.
Building an AI agent on Azure typically involves Azure AI Foundry to define the agent, choosing a model (GPT-4o, GPT-4o-mini), connecting tools (functions, code interpreter, file search), grounding it in Azure AI Search or your databases, securing it with Azure AD and content filters, then deploying through an SDK or REST API. Through MFE-IT’s hands-on approach, learners ship a working production-ready agent during the training itself.
Azure AI agents (AI Foundry) are code-first, developer-oriented agents giving full control over orchestration, models, and tools. Microsoft Copilot Studio is a low-code platform for business users to build copilots with prebuilt connectors and visual flows. The two are complementary and increasingly interoperable. The MFE-IT AI-3026 training clarifies when to use each platform based on team skills and use case.