Develop AI Agents on Azure is a comprehensive, hands-on course designed for learners who want to build intelligent AI agents on Microsoft Azure. The program explores how next-generation intelligent applications can be designed, developed and orchestrated using Azure AI Foundry, Microsoft Foundry Agent Service and the Microsoft Agent Framework.

AI agents go beyond conventional applications by being able to reason towards goals, use tools, take actions and collaborate with other agents. This course examines how these capabilities can be implemented on Azure and gives learners practical experience building both single-agent and multi-agent solutions.

Throughout the program, participants learn how to create agents with Microsoft Foundry Agent Service, manage development and testing through the Microsoft Foundry extension in Visual Studio Code, and extend agent capabilities with built-in and custom tools. The course also covers MCP-based tool integration, collaborative agent architectures, orchestration with Microsoft Agent Framework and agent discovery and communication through the A2A protocol.

Practical exercises and module-level assessments help learners move beyond theory and gain the confidence required to design production-ready AI agent solutions for real-world business and technical use cases.

We can organize this training at your preferred date and location. Contact Us!

Prerequisites

Participants should have:

A basic understanding of programming concepts such as functions, APIs and data structures
Familiarity with cloud computing concepts and Microsoft Azure fundamentals
An interest in building AI-driven applications using modern development tools

Previous experience with Azure services or AI workloads is useful, but not required.

Who Should Attend

This course is designed for:

Developers building intelligent applications on Microsoft Azure
Data scientists and machine learning practitioners extending existing solutions with AI agents
IT professionals and solution architects designing scalable AI-driven systems
Engineers adopting agent-based approaches for automation, orchestration and collaboration

It is also suitable for anyone looking to improve their ability to create interactive and extensible AI agents for business or personal projects.

What You Will Learn

By the end of the course, learners will be able to:

Explain what AI agents are and how they are used in modern intelligent applications.
Develop AI agents using Microsoft Foundry Agent Service and Azure AI Foundry.
Build, test and deploy AI agents using the Microsoft Foundry extension in Visual Studio Code.
Extend AI agents with built-in, custom and MCP-hosted tools.
Design and implement multi-agent solutions using connected and orchestrated agents.
Use the Microsoft Agent Framework to create, extend and orchestrate Azure AI agents.
Enable agent discovery and communication using the A2A protocol.

Training Outline

Module 1: Get Started with AI Agent Development on Azure

This module introduces AI agents as a core building block for next-generation applications on Microsoft Azure.

Introduction to AI agents and intelligent applications
Understanding what AI agents are
How agents differ from traditional applications
Options for developing AI agents on Azure
Overview of Microsoft Foundry Agent Service
Exercise exploring AI agent development concepts and tools
Module assessment and summary

Module 2: Develop an AI Agent with Microsoft Foundry Agent Service

This module provides practical guidance for creating functional AI agents with Foundry Agent Service.

Introduction to agent development with Foundry
Understanding AI agent capabilities and behaviours
Creating agents with Microsoft Foundry Agent Service
Configuring agents for real-world scenarios
Exercise building an AI agent with Foundry Agent Service
Module assessment and summary

Module 3: Develop AI Agents with the Microsoft Foundry Extension in Visual Studio Code

This module focuses on developer workflows for building and managing AI agents in Visual Studio Code.

Introduction to the Microsoft Foundry extension
Getting started with agent development in Visual Studio Code
Developing and testing agents locally
Extending agent capabilities with integrated tools
Exercise building an AI agent with the Foundry extension
Module assessment and summary

Module 4: Integrate Custom Tools into Your Agent

This module explores how AI agents can be extended beyond built-in capabilities using custom tools.

Introduction to agent extensibility
Understanding when custom tools are required
Options for implementing custom agent tools
Integrating custom tools into agent workflows
Exercise building an AI agent with custom tools
Module assessment and summary

Module 5: Develop a Multi-Agent Solution with Microsoft Foundry Agent Service

This module introduces collaborative AI patterns and connected agents.

Introduction to multi-agent solutions
Understanding connected agents
Agent collaboration patterns
Designing a multi-agent solution with Foundry Agent Service
Exercise developing a multi-agent application with Foundry
Module assessment and summary

Module 6: Integrate MCP Tools with Azure AI Agents

This module examines how MCP-hosted tools can provide dynamic tool access for AI agents.

Introduction to MCP tools
Dynamic tool access
Understanding MCP tool discovery
MCP server and client architectures
Integrating agent tools through MCP
Using Azure AI agents with MCP servers
Exercise connecting MCP tools to Azure AI agents
Module assessment and summary

Module 7: Develop an AI Agent with Microsoft Agent Framework

This module introduces the Microsoft Agent Framework SDK for building Azure AI agents.

Introduction to Microsoft Agent Framework
Understanding agents built with the framework
Creating an Azure AI agent with Microsoft Agent Framework
Adding tools to Azure AI agents
Exercise developing an Azure AI agent with the Agent Framework SDK
Knowledge check and summary

Module 8: Orchestrate a Multi-Agent Solution Using Microsoft Agent Framework

This module focuses on coordinating multiple agents through different orchestration patterns.

Introduction to agent orchestration
Understanding orchestration concepts within the Agent Framework
Concurrent orchestration
Sequential orchestration
Group chat orchestration
Handoff orchestration
Magentic orchestration
Exercise developing a multi-agent solution
Knowledge check and summary

Module 9: Discover Azure AI Agents with A2A

This module introduces the A2A protocol for remote agent discovery and communication.

Introduction to A2A
Remote agent collaboration
Defining an A2A agent
Implementing an agent executor
Hosting an A2A server
Connecting to an A2A agent
Exercise connecting to remote Azure AI agents using A2A
Module assessment and summary

Why Choose Us

Experience Develop AI agents on Azure in Canada through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
Flexible and Scalable Delivery: Access live virtual classrooms from Canada and worldwide, with flexible planning options for individual and corporate training needs.

Experience Develop AI agents on Azure in a focused classroom environment in Canada. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Develop AI agents on Azure in Canada solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

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Develop AI agents on Azure Training in Canada

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Module 1: Get Started with AI Agent Development on Azure

Module 2: Develop an AI Agent with Microsoft Foundry Agent Service

Module 3: Develop AI Agents with the Microsoft Foundry Extension in Visual Studio Code

Module 4: Integrate Custom Tools into Your Agent

Module 5: Develop a Multi-Agent Solution with Microsoft Foundry Agent Service

Module 6: Integrate MCP Tools with Azure AI Agents

Module 7: Develop an AI Agent with Microsoft Agent Framework

Module 8: Orchestrate a Multi-Agent Solution Using Microsoft Agent Framework

Module 9: Discover Azure AI Agents with A2A

Why Choose Us

Develop AI agents on Azure Training Course in Canada Schedule

Develop AI agents on Azure Training in Canada

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Module 1: Get Started with AI Agent Development on Azure

Module 2: Develop an AI Agent with Microsoft Foundry Agent Service

Module 3: Develop AI Agents with the Microsoft Foundry Extension in Visual Studio Code

Module 4: Integrate Custom Tools into Your Agent

Module 5: Develop a Multi-Agent Solution with Microsoft Foundry Agent Service

Module 6: Integrate MCP Tools with Azure AI Agents

Module 7: Develop an AI Agent with Microsoft Agent Framework

Module 8: Orchestrate a Multi-Agent Solution Using Microsoft Agent Framework

Module 9: Discover Azure AI Agents with A2A

Why Choose Us

Online Instructor-Led Training (VILT)

Classroom-Based Training

Onsite / In-House Training

Develop AI agents on Azure Training Course in Canada Schedule