Develop Azure AI Apps and Agents with Microsoft Foundry for Scalable Intelligent Solutions.

Learn how to build generative AI applications and intelligent agents using Microsoft Foundry, Azure AI services and SDKs. Participants learn how to design AI solutions, integrate tools and knowledge sources, and deploy multimodal, production-ready AI applications.

  • Why get trained: Learn how to develop generative AI apps, build AI agents, integrate tools and knowledge sources, and deploy solutions using Microsoft Foundry, APIs and SDKs.
  • Why it matters: Azure AI and agentic AI capabilities help organisations automate workflows, enhance decision-making and build scalable, intelligent applications.
  • Who should attend: Software developers, AI engineers and solution builders with Python and API experience developing AI applications on Azure.

Build AI apps and agents on Azure with Trainocate Malaysia and advance your expertise in generative and agentic AI solutions. HRD Corp Claimable.

Limited Time offer: RM2499/pax inclusive exam for selected Q3-Q4 intakes (NP: RM3,374)

Overview

This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement knowledge connections or tools in your agentic applications.

This course also covers multimodal capabilities and understanding of complex content.

Build Malaysia’s AI and Data-driven Future with Trainocate. Explore the Top Data and AI Skills for 2026.

Skills Covered

  • Develop generative AI apps on Azure
  • Develop AI agents on Azure
  • Develop natural language solutions in Azure
  • Extract insights from visual data on Azure

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. You should also have programming experience.

If you’re new to AI in Azure, consider completing the following course:

Target Audience

This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Microsoft Foundry. They are familiar with Python and have knowledge on using APIs and SDKs to build agents and generative AI solutions on Azure.

Course Curriculum

Module 1: Develop generative AI apps in Azure

Generative artificial intelligence (AI) is becoming more accessible through comprehensive development platforms like Microsoft Foundry. Learn how to build generative AI applications that use language models to interact with your users.

Module 2: Develop AI agents on Azure

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 Microsoft Foundry Agent Service and Microsoft Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.

Module 3: Develop natural language solutions in Azure

Natural language solutions use language models to interpret the semantic meaning of written or spoken language, and in some cases respond based on that meaning. You can use Microsoft Foundry to develop AI apps and agents that can analyze text, transcribe and synthesize speech, and translate languages.

Module 4: Extract insights from visual data on Azure

Use generative AI, computer vision, and Content Understanding capabilities in Azure to extract insights from visual data, supporting scenarios like:

  • Image analysis
  • Image and video generation
  • Content Understanding and enrichment
  • Visual search and classification
  • Digital asset management (DAM)
  • Multimodal AI solutions

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.

x Clear all selections

August 3, 2026 - August 6, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
Included
RM 3000 RM 2499.00
PROMO

August 3, 2026 - August 6, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
Included
RM 3000 RM 2499.00
PROMO

October 5, 2026 - October 8, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 374
RM 3000

October 5, 2026 - October 8, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 374
RM 3000

November 2, 2026 - November 5, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
Included
RM 3000 RM 2499.00
PROMO

November 2, 2026 - November 5, 2026

Location: Online
Modal: VILT
Availability: TBC
Exam:
Included
RM 3000 RM 2499.00
PROMO
Trainocate exam and cert

Exam & Certification

Microsoft Certified: Azure AI App and Agent Developer Associate

This credential aligns with today’s generative and agentic architectures for planning and managing AI resources in Microsoft Foundry, building generative apps and multistep reasoning workflows, and developing production‑ready agents with multi‑agent orchestration capabilities.

Training & Certification Guide

As a candidate for this Microsoft Certification, you’re an Azure AI engineer who builds, manages, and deploys agents and AI solutions that take advantage of Microsoft Foundry.

For this exam, you should have experience developing apps by using Python, and you need to be familiar with the capabilities of general AI, generative AI, and Azure services.

Your responsibilities include:

  • Planning and managing Azure AI solutions.
  • Implementing generative AI and agentic solutions.
  • Implementing computer vision solutions.
  • Implementing text analysis solutions.
  • Implementing information extraction solutions.

In this role, you collaborate with business stakeholders, solution architects, data scientists, DevOps engineers, and cloud security engineers to design, implement, and maintain AI solutions.

  • Plan and manage an Azure AI solution (25–30%)
  • Implement generative AI and agentic solutions (30–35%)
  • Implement computer vision solutions (10–15%)
  • Implement text analysis solutions (10–15%)
  • Implement information extraction solutions (10–15%)

Frequently Asked Questions

AI-103T00 teaches you how to build generative AI applications and intelligent agents on Microsoft Azure.

This course focuses on developing end-to-end AI solutions using Microsoft Foundry, including generative AI apps, multi-agent systems, and multimodal AI capabilities such as text, vision, and speech.

Key learning areas:

  • Generative AI application development
  • AI agents and multi-agent orchestration
  • Multimodal AI (text, image, speech)
  • End-to-end AI solution design

Pro Tip: Focus on how AI agents interact with real business workflows. This is a key differentiator in modern AI roles.

This course is designed for developers building real-world AI applications and intelligent agents.

It targets software engineers who want to move beyond basic AI APIs and build full AI systems using Azure.

Best suited for:

  • Software developers
  • AI engineers
  • Cloud developers
  • Developers working with APIs and Python

Pro Tip: If you already use APIs or Python, this course helps you transition into building full AI-powered applications.

You will learn to design, build, and deploy AI-powered applications and agents at scale.

The course emphasizes practical skills needed to create production-ready AI systems, including orchestration, prompt engineering, and evaluation.

Skills gained:

  • Building generative AI apps
  • Designing AI agents and workflows
  • Implementing retrieval-augmented generation (RAG)
  • Managing AI lifecycle and performance

Pro Tip: Practice building a simple AI agent after the course. Real-world projects significantly improve your employability.

AI-103 focuses on building complete AI systems and agents, while AI-102 focused on using individual AI services.

AI-102 emphasized calling APIs for specific AI tasks. AI-103 reflects a major shift toward designing and deploying full AI applications and agent-based systems.

Key differences:

  • AI-102 (retiring):
    • API-based AI services
    • Individual capabilities (vision, NLP)
  • AI-103 (new):
    • End-to-end AI application development
    • AI agents and orchestration
    • Generative AI and prompt engineering

This shift reflects the move toward agentic AI systems and production-ready solutions.

Pro Tip: If starting fresh, prioritize AI-103. It aligns with how AI is actually built and deployed today.

Yes, it prepares you for the Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103).

This certification validates your ability to design, build, and deploy AI applications and agents using Microsoft Foundry and Azure AI services.

What it covers:

  • Generative AI and agent development
  • AI solution planning and management
  • Multimodal AI implementation
  • Production-ready AI deployment

Pro Tip: Focus on understanding full solution architecture. Certification exams increasingly test real-world scenarios, not isolated tasks.

It prepares you for next-generation AI roles focused on building intelligent applications and agents.

As organizations adopt generative AI, demand is growing for developers who can build AI-powered systems rather than just integrate APIs.

Relevant roles:

  • AI Engineer
  • AI Applications Developer
  • Generative AI Developer
  • AI Solutions Architect

AI-103 validates skills in agent-based systems, generative AI, and production deployment, which are increasingly critical in enterprise AI adoption.

Pro Tip: Roles involving AI agents and generative AI are growing rapidly. Prioritize learning these areas to stay competitive.

Speak to a Training Consultant

All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631

Preferred mode of training
Checkboxes