Certification Overview

The Azure AI Fundamentals certification requires one exam:
    • AI-900Microsoft Azure AI Fundamentals
This exam validates foundational-level knowledge of AI concepts and Azure AI services.

What AI-900 Validates

With Azure AI Fundamentals, you demonstrate your ability to:
  • Understand basic AI and machine learning concepts
  • Identify common AI workloads
  • Describe Azure AI services
  • Understand responsible AI principles
  • Recognize computer vision and natural language processing solutions

Track Details & Exam Requirements

Exam Focus Areas

The AI-900 exam covers:

🔹 AI & Machine Learning Concepts

  • Artificial intelligence basics
  • Machine learning principles
  • Supervised vs. unsupervised learning
  • Regression, classification, and clustering

🔹 Computer Vision

  • Image classification
  • Object detection
  • Facial recognition
  • Optical character recognition (OCR)

🔹 Natural Language Processing (NLP)

  • Text analytics
  • Sentiment analysis
  • Language translation
  • Conversational AI

🔹 Generative AI & Azure AI Services

  • Azure AI services overview
  • Azure Machine Learning
  • Azure AI Studio
  • Responsible AI concepts

Validity & Recertification

Certification Validity

Azure AI Fundamentals certification does not expire (based on Microsoft’s current fundamentals-level certification policy).

Recommended Experience

There are no formal prerequisites. However, it is helpful to have:
  • Basic understanding of cloud computing
  • General IT knowledge
  • Interest in AI and emerging technologies

Who Should Pursue Azure AI Fundamentals?

  • Students entering AI and data careers
  • Business professionals working with AI solutions
  • IT professionals exploring AI technologies
  • Developers starting with AI services
  • Career changers entering the AI field

Career Benefits

  • Builds strong foundational AI knowledge
  • Enhances credibility in AI-driven environments
  • Prepares you for advanced AI certifications (AI-102, DP-100)
  • Opens pathways toward AI Engineer and Data Scientist roles