AI-3026: Develop AI agents on Azure
New course: Malware Analysis v2.0 is now available! Back to courses

AI-3026: Develop AI agents on Azure

Official Microsoft Learn course AI-3026 on building AI agents in Azure AI Foundry and integrating them with business tools. Includes Microsoft Learn paths, labs, configuration decisions and team scenarios.

About this course

Course AI-3026: Develop AI agents on Azure is structured as a practical path for teams working with AI agent development, deployment and management in Azure AI Foundry. The program is based on official Microsoft Learn elements, including: Develop AI agents on Azure. Participants work through concepts, configuration, service dependencies, design decisions and checks that should be reviewed before applying the solution in a business environment. The scope covers Azure AI Foundry, custom tools, MCP, Foundry IQ, Microsoft 365 integration, agent workflows, Semantic Kernel, multi-agent solutions and A2A communication. Each block closes with risks, good practices, limitations and next steps, so the material can support operational readiness, team skills development and further Microsoft knowledge validation.

What you will learn

Follow the official Microsoft Learn paths connected with course AI-3026: Develop AI agents on Azure.
Understand the course role in AI agent development, deployment and management in Azure AI Foundry and the dependencies between Microsoft services.
Practice configuration, integration and operational scenarios described in the training modules.
Recognize common mistakes, limitations, technical costs and design decisions that affect implementation.
Prepare a post-course checklist for use in a business environment.
Connect the material with the work of development, operations, security or business user teams.
Plan the next learning or skills validation path using Microsoft Learn materials.

Syllabus

1 200 PLN

Catalog training price

Register
Duration1 day
Module1
Attendance confirmationYes

Requirements

  • Basic programming experience.
  • General familiarity with cloud technologies and AI concepts.
  • Knowledge of APIs, prompts and application integration fundamentals is helpful during the labs.