AI-103: Azure AI App and Agent Developer Associate

Be well prepared for the exam and immediately learn how to develop and integrate AI applications and agents using Azure.

Learning Center Microsoft Certificering AI 102

AI becomes truly valuable when it is part of your applications. From smart recommendations and image recognition to generative chat and AI agents, Azure enables you to build these solutions in a structured and secure way. The AI-103 certification focuses on designing, building, and managing AI applications and agents using Azure AI Services, Azure AI Search, and Azure OpenAI. You will learn not just how to use models, but how to integrate them into reliable, scalable solutions.

Develop intelligent applications and agents with Azure AI

This certification track teaches you how to apply AI in real-world scenarios. You will gain skills you can directly use in projects. After completing the training, you will be able to:

  • Build and integrate AI applications using Azure AI Services and Microsoft Foundry
  • Apply generative AI using Azure OpenAI Service
  • Design and implement AI agents for specific use cases
  • Retrieve and process data using Azure AI Search and RAG patterns
  • Ensure security, reliability, and responsible use of AI solutions
  • Be well prepared for the Microsoft exam AI-103

What you’ll learn

The training is based on the official Microsoft exam guide and combines theory, design principles, and hands-on exercises:

  • Designing and implementing AI applications and agents
    • Using Microsoft Foundry and Azure AI Services
    • Integrating AI into web and enterprise applications
    • Designing solutions using APIs, SDKs, and models
    • Building and orchestrating AI agents 
  • Working with Azure AI Services
    • Language Services: natural language processing, sentiment analysis, text understanding
    • Vision Services: image analysis, object detection, OCR
    • Speech Services: transcription, translation, and synthesis 
  • Azure AI Search and data integration
    • Document indexing, semantic search, and query enrichment
    • Combining Retrieval-Augmented Generation (RAG) with large language models
    • Connecting data sources to AI applications 
  • Generative AI and Azure OpenAI
    • Designing applications using GPT models
    • Prompt design and system instructions
    • Evaluating and improving model output
    • Applying safety and content filtering 
  • Security and responsible usage
    • Identity and access management with Microsoft Entra ID
    • Secret management with Azure Key Vault
    • Principles of Responsible AI: fairness, reliability, and governance

Practical info

  • Target audience: AI engineers, software developers, data scientists, and solution architects building or integrating AI solutions in Azure
  • Level: Associate (experienced)
  • Duration: Tailored, depending on knowledge level and needs
  • Location: Remote or classroom-based
  • Materials: Official Microsoft course material, supplemented with practical cases
  • Cost: Depends on training needs and program duration

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