Azure AI Agents AI-3026 Training Course – Design, Develop and Orchestrate Intelligent Agents
- Price
- Duration
- Number of hours
Our sessions are guaranteed from 1 registered participant (except in cases of force majeure).
Description of the Azure AI Agents AI-3026 Training Course
This Azure AI Agents training course – Developing Intelligent Agents teaches you to design, deploy and orchestrate agents capable of automating processes and enriching your applications. You will discover how to use Azure AI Foundry and Semantic Kernel to create scalable and interactive agents. The programme covers the integration of custom tools, the implementation of multi-agent architectures and intelligent workflow management. Practical workshops will allow you to build concrete solutions based on generative AI. Upon completion, you will be able to develop modern applications based on high-performance AI agents.
Also discover our AI and HR Training Course, our AI and Graphic Design Training Course, our Microsoft Copilot Prompting MS-4005 Training Course, our Generative AI and LLMs Training Course, our Microsoft AI-103 Azure AI Expert Training Course and our Creation of Voice AI Agents Training Course.
Format
Remote (recorded sessions).
It is possible to customise the training content to meet the needs of your professional project.
GOOD TO KNOW
This training course includes many exercises (60% practice) for better learning. 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.
Objectives of the Azure AI Agents AI-3026 Training Course
Upon completion of the training, the participant will be able to:
- Create, deploy and manage intelligent AI agents using Azure AI Foundry.
- Integrate advanced AI capabilities via agents into scalable and customisable solutions.
- Understand when to use AI agents and how to build them with Azure AI Agent Service and Semantic Kernel.
- Design solutions capable of automating complex workflows through contextual agents.
- Extend agent capabilities by integrating custom tools and intelligent workflows.
Prerequisites
- Familiarity with fundamental AI concepts and Azure services recommended.
- Understanding of programming concepts (APIs, data structures) and cloud computing.
- Prior experience with Azure services or AI workloads is an asset.
- Because each participant is unique, a personalised interview with our expert allows us to design a training course perfectly aligned with their objectives, level and professional challenges.
Target Audience
- Developers, data scientists and IT professionals wishing to create intelligent solutions based on Azure.
- Profiles with a basic understanding of programming and cloud looking to develop interactive and scalable agents.
Detailed Programme of the Azure AI Agents AI-3026 Training Course
Introduction to AI Agents
- Understanding the role of AI agents, considered the next generation of intelligent applications.
- Identifying use cases and automation scenarios.
Getting Started with Agent Development
Identify business use cases suited to pre-built models. Analyse documents using the Read, Layout or General Document models. Process specialised documents (financial, tax, identity documents).
Developing an Agent with Azure AI Foundry
- Building your first agent on the platform.
- Implementing deployment and management models.
Integrating Custom Tools
- Extending agent capabilities by adding specific tools.
- Designing solutions tailored to business needs.
Multi-Agent Solutions
- Decomposing complex tasks through multiple collaborative agents.
- Designing connected and intelligent architectures.
Semantic Kernel and Agent Frameworks
- Understanding the Semantic Kernel framework and its role in agent development.
- Adding plugins and running agents via the SDK.
Orchestration and Intelligent Workflows
- Orchestrating multi-agent solutions to execute coordinated tasks.
- Building agent-driven workflows for intelligent applications.
Security, Performance and Governance
- Managing the deployment, performance and compliance of AI agents.
- Implementing automation and personalisation practices.
Practical Workshops
- Creating a conversational agent.
- Integrating business tools.
- Deploying an automated multi-agent solution.
FAQ – Azure AI Agents (AI-3026) Training
What are Azure AI agents?
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.
What is the AI-3026 Microsoft course?
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.
How do you build an AI agent on Azure?
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.
What is the difference between Azure AI agents and Copilot Studio?
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.
Would you like to know about upcoming sessions ?
Would you like to schedule this training course on a specific date ? Contact us by email or by filling out the contact form.