Develop AI solutions in Azure

5 Days

Intermediate

Kuala Lumpur, Johor Bharu

Program Overview

AI-102: Develop AI solutions in Azure 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.

Learning outcomes:

By the end of this course, participants will be able to:
• Build and Deploy AI Applications. Participants will be able to build, fine-tune, and deploy
generative AI applications using Azure AI Foundry and its SDKs.
• Develop Functional AI Agents. Participants will be able to develop AI agents using Azure AI Foundry Agent Service and the Semantic Kernel, including integration of tools and
orchestration of multi-agent solutions.
• Implement Natural Language & Speech Solution. Participants will be able to analyze, classify, and translate text and speech using Azure Language and Speech services to create natural language applications.
• Leverage Vision and Document Intelligence. Participants will be able to implement computer vision and information extraction solutions using Azure AI services for real-time image, video, and document analysis.

Programme Module

1
Module 1: Develop Generative AI Apps in Azure
2
Module 2: Develop AI Agents on Azure
3
Module 3: Develop Natural Language Solutions in Azure
4
Module 4: Develop Computer Vision Solutions in Azure
5
Module 5: Develop AI Information Extraction Solutions in Azure

Programme Objectives

By the end of this course, participants will:

  • Introduce Azure AI Foundry Ecosystem. To provide foundational knowledge of Azure AI
    Foundry and its tools for building and managing generative AI applications.
  • Explore Multimodal AI Capabilities. To demonstrate how to create AI solutions across
    modalities—text, speech, vision, and documents—using Azure AI services.
  • Develop Ethical and Responsible AI. To guide participants in implementing responsible and performance-evaluated AI applications using Azure’s compliance and evaluation tools.
  • Enable Practical Hands-On Implementation. To equip participants with practical skills
    through guided development of AI agents, RAG systems, classification models, and
    information extraction solutions.

Who Should Attend

  • Software Engineers / Developers
  • AI / ML Developers
  • Python or C# Developers
  • Cloud Developers working on Azure
  • Solution Architects
  • Data / AI Engineers
  • Backend Developers building AI applications
  • Professionals building Generative AI, AI Agents, RAG systems, and multimodal AI solutions

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