Build and Orchestrate AI Agents on Azure with Azure AI Foundry.

  • Why get trained: Learn how to build, deploy and manage AI agents using Azure AI Foundry, Microsoft Agent Framework, Semantic Kernel, MCP tools and multi-agent workflows.
  • Why it matters: AI agent skills help organizations automate complex tasks, improve decision-making and create scalable AI-powered business applications on Azure.
  • Who should attend: Developers, data scientists and IT professionals who want to create intelligent AI agents and multi-agent solutions on Microsoft Azure.

Accelerate AI transformation with Microsoft AI Skills for Everyone. Start building intelligent AI agents with Trainocate Malaysia and gain practical Azure AI Foundry skills. HRD Corp Claimable.

Overview

Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework.

By the end of this learning path, you will have the skills needed to develop AI agents on Azure.

As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:

This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.

Skills Covered

  • Get started with AI agent development on Azure
  • Develop an AI agent with Azure AI Foundry Agent Service
  • Integrate custom tools into your agent
  • Develop an AI agent with Semantic Kernel
  • Orchestrate a multi-agent solution using Semantic Kernel

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.

Target Audience

AI Engineer

Course Curriculum

Module 1: Get started with AI agent development on Azure

AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.

Learning objectives

By the end of this module, you’ll be able to:

  • Describe core concepts related to AI agents
  • Describe options for agent development
  • Create and test an agent in the Azure AI Foundry portal

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.

Module 2: Develop an AI agent with Azure AI Foundry Agent Service

This module provides engineers with the skills to begin building agents with Azure AI Foundry Agent Service.

Learning objectives

By the end of this module, you’ll be able to:

  • Describe the purpose of AI agents
  • Explain the key features of Azure AI Foundry Agent Service
  • Build an agent using the Foundry Agent Service
  • Integrate an agent in the Foundry Agent Service into your own application

Prerequisites

Module 3: Integrate custom tools into your agent

Built-in tools are useful, but they may not meet all your needs. In this module, learn how to extend the capabilities of your agent by integrating custom tools for your agent to use.

Learning objectives

By the end of this module, you’ll be able to:

  • Describe the benefits of using custom tools with your agent.
  • Explore the different options for custom tools.
  • Build an agent that integrates custom tools using the Azure AI Foundry Agent Service.

Prerequisites

Module 4: Develop an AI agent with Semantic Kernel

This module provides engineers with the skills to begin building Azure AI Foundry Agent Service agents with Semantic Kernel.

Learning objectives

By the end of this module, you’ll be able to:

  • Use Semantic Kernel to connect to an Azure AI Foundry project
  • Create Azure AI Foundry Agent Service agents using the Semantic Kernel SDK
  • Integrate plugin functions with your AI agent

Prerequisites

Module 5: Orchestrate a multi-agent solution using Semantic Kernel

Learn how to use the Semantic Kernel SDK to develop your own AI agents that can collaborate for a multi-agent solution.

Learning objectives

By the end of this module, you’ll be able to:

  • Build AI agents using the Semantic Kernel SDK
  • Develop multi-agent solutions
  • Create custom selection and termination strategies for agent collaboration

Prerequisites

Dates & Locations

Let’s make it work for you

Can’t find a date that fits? Need to train your whole team? Looking for a discount?
Speak to one of our learning experts today.

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August 7, 2026 - August 7, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1200

August 7, 2026 - August 7, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1200

November 6, 2026 - November 6, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1200

November 6, 2026 - November 6, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1200
Trainocate exam and cert

Exam & Certification

Note: There is no exam directly associated with this course. However, Microsoft offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving Microsoft certification is one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our full range of Microsoft certifications and start building the skills that matter today.

Training & Certification Guide

Addressing the AI Skills Gap in Malaysia

The Artificial Intelligence (AI) surge across global industries has created immense potential for innovation and economic growth. For Malaysia, AI is pivotal in its ambition to become a digital-first economy. However, despite this goal, the country faces a significant AI skills gap—a shortfall in the number of skilled professionals equipped to meet the rising demands for AI expertise across various industries.

This blog examines the causes, impact, and initiatives underway to bridge this gap, ensuring Malaysia remains competitive in the digital age.

AI Mastery Program: Learn AI with Microsoft in 2025

Artificial Intelligence (AI) has been one of the hottest topics in the tech industry for the past decade. With its rapid advancements and potential to impact our daily lives, learning AI has become a highly sought-after skill.

We are thrilled to announce the launch of our Microsoft AI Mastery Program in 2024, made possible through our partnership with Microsoft, a renowned leader in AI technology. This program is tailored for individuals and tech professionals passionate about acquiring and mastering the fundamental and advanced principles of AI.

Top AI Skills Malaysia Needs Today: Advance Your IT Career in 2025

In the quest for AI-driven innovation, Malaysia seeks sharp minds with the right IT skills. Data science, machine learning—these are the tools in high demand. This article examines the AI skills Malaysia needs, the industries driving this change, and how to develop these skills to enhance your career trajectory.

In-demand Cloud Technology Skills – Insights from Malaysia’s Job Market

As Malaysia accelerates its digital transformation journey, cloud technology has emerged as a critical component of the nation’s economic growth. The adoption of cloud services is driving innovation across various sectors, from finance to manufacturing, and creating a robust demand for skilled cloud professionals.

This article dives into the most in-demand cloud technology skills in Malaysia, backed by market data and insights from industry reports, and highlights the key roles that are shaping the future of cloud technology.

Azure Certification Path 2025: Where to start with Azure Certifications

Targeting the most valuable Azure certifications for 2025? In the evolving landscape of cloud computing, Azure certifications stand out by offering professionals the leverage to thrive. This article presents a focused rundown of crucial Azure certifications, shining a light on their career-boosting effects and elucidating steps to get certified. No fluff – just actionable insights to empower your journey in the cloud.

The Future of Cloud Careers in Malaysia 2025

As Malaysia advances its digital economy, the demand for cloud professionals is growing rapidly. Cloud technology has become an essential part of the modern IT landscape, and businesses across various sectors are increasingly relying on cloud infrastructure to drive digital transformation.

This article explores the current state of cloud careers in Malaysia, key roles and career pathways, and emerging cloud trends that are shaping the future of cloud technology.

Frequently Asked Questions

AI-103T00: Develop AI Apps and Agents on Azure

This course is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services.

Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction. The course will use C# or Python as the programming language.

AI-300T00: Operationalize Machine Learning and Generative AI Solutions

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning.

This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

DP-700T00: Microsoft Fabric Data Engineer

This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes.

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