Certification Overview

To earn the Azure AI Engineer Associate certification, you must pass:
    • AI-102Designing and Implementing a Microsoft Azure AI Solution
This exam measures your ability to develop AI solutions using Azure AI services and integrate them into applications.

What AI-102 Validates

With Azure AI Engineer Associate, you demonstrate your ability to:
  • Design and implement Azure AI solutions
  • Develop computer vision applications
  • Build natural language processing (NLP) solutions
  • Implement conversational AI solutions
  • Integrate generative AI models
  • Secure and monitor AI applications

Track Details & Exam Requirements

Exam Focus Areas

The AI-102 exam covers:

🔹 Plan & Manage Azure AI Solutions

  • Azure AI services architecture
  • Security and monitoring
  • Responsible AI principles

🔹 Implement Computer Vision Solutions

  • Image analysis
  • Object detection
  • Optical character recognition (OCR)
  • Face detection concepts

🔹 Implement Natural Language Processing (NLP)

  • Text analytics
  • Sentiment analysis
  • Language translation
  • Custom language models

🔹 Implement Knowledge Mining & Search

  • Azure AI Search
  • Indexing and enrichment

🔹 Implement Conversational & Generative AI

  • Azure Bot Service
  • Azure OpenAI Service
  • Prompt engineering basics
  • Integration of large language models (LLMs)

Validity & Recertification

Certification Validity

Azure AI Engineer Associate certification is valid for 1 year. To maintain certification, you must complete a free online renewal assessment on Microsoft Learn before expiration.

Recommended Experience

Microsoft recommends:
  • Experience developing applications in C# or Python
  • Familiarity with REST APIs
  • Understanding of AI and machine learning fundamentals
  • Experience working with Azure services
There are no formal prerequisites, but Azure AI Fundamentals (AI-900) is helpful.

Who Should Pursue Azure AI Engineer?

  • AI Engineers
  • Machine Learning Engineers
  • Software Developers building AI apps
  • Cloud Developers
  • Data Professionals working with AI services

Career Benefits

  • Validates expertise in building AI-powered cloud applications
  • Enhances credibility in AI and machine learning roles
  • Prepares you for advanced AI and architect certifications
  • Opens opportunities in intelligent app development and generative AI