Introduction
The Microsoft Azure AI Fundamentals (AI-900) certification was designed to validate foundational knowledge of artificial intelligence, machine learning, computer vision, natural language processing, and generative AI on Microsoft Azure.
It was suitable for both technical and non-technical learners and did not require advanced data science or software engineering experience.
Although AI-900 has now been retired, its topics remain valuable for understanding the foundations of Azure AI.
AI-900 Exam Syllabus
The final AI-900 skills measured by Microsoft covered five major areas:
| Exam Domain | Weight |
|---|
| AI workloads and considerations | 15–20% |
| Machine learning principles on Azure | 15–20% |
| Computer vision workloads | 15–20% |
| Natural Language Processing (NLP) | 15–20% |
| Generative AI workloads | 20–25% |
1. AI Workloads and Responsible AI
Important concepts included:
- Computer vision
- Natural language processing
- Document processing
- Generative AI
- Responsible AI principles
- Fairness
- Reliability and safety
- Privacy and security
- Inclusiveness
- Transparency
- Accountability
2. Machine Learning on Azure
Candidates needed to understand:
- Regression
- Classification
- Clustering
- Deep learning
- Transformer architecture
- Features and labels
- Training and validation datasets
- Automated machine learning
- Azure Machine Learning
- Model management and deployment
3. Computer Vision
Key topics included:
- Image classification
- Object detection
- Optical character recognition (OCR)
- Face detection and analysis
- Azure AI Vision
- Azure AI Face
4. Natural Language Processing
Important areas included:
- Key phrase extraction
- Entity recognition
- Sentiment analysis
- Language modeling
- Speech recognition and synthesis
- Translation
- Azure AI Language
- Azure AI Speech
5. Generative AI
Generative AI represented the largest individual AI-900 domain.
Focus areas included:
- Generative AI concepts
- Generative AI models
- Common generative AI scenarios
- Responsible AI considerations
- Azure AI Foundry
- Azure OpenAI Service
- Azure AI Foundry model catalog
AI-900 Practice Questions
Question 1
Which machine learning technique is commonly used to predict a continuous numerical value?
A. Classification
B. Regression
C. Clustering
D. Object detection
Answer: B. Regression
Question 2
Which AI workload is primarily used to identify objects within an image?
A. Sentiment analysis
B. Translation
C. Object detection
D. Speech synthesis
Answer: C. Object detection
Question 3
Which responsible AI principle focuses on protecting user information?
A. Inclusiveness
B. Transparency
C. Privacy and security
D. Accountability
Answer: C. Privacy and security
Question 4
Which technology is designed to generate new text, images, or other content?
A. Generative AI
B. Clustering
C. OCR
D. Regression
Answer: A. Generative AI
Question 5
What is the primary purpose of a validation dataset in machine learning?
A. To replace training data
B. To evaluate and tune a model during development
C. To store production predictions
D. To create user accounts
Answer: B. To evaluate and tune a model during development
How to Prepare for Azure AI Fundamentals
If you are using AI-900 material to build your fundamentals, follow this approach:
Step 1: Learn AI fundamentals
Understand common AI workloads and responsible AI principles.
Step 2: Study machine learning
Focus on regression, classification, clustering, datasets, and Azure Machine Learning.
Step 3: Learn Azure AI services
Understand the purpose and capabilities of vision, language, speech, and generative AI services.
Step 4: Practice scenario-based questions
Learn to identify the appropriate Azure AI service from a business scenario.
Step 5: Move to the current AI-901 exam
For a certification attempt in 2026, use the current AI-901 Azure AI Fundamentals study guide rather than preparing specifically for retired AI-900. Microsoft currently lists AI-901 as the Azure AI Fundamentals exam and gives it a passing score of 700.
AI-900 vs AI-901
| AI-900 | AI-901 |
|---|
| Retired June 30, 2026 | Current replacement |
| Azure AI Fundamentals | Azure AI Fundamentals |
| Foundational AI concepts | Updated AI solution development fundamentals |
| No programming experience required | Includes foundational Python knowledge |
| Legacy exam | Current exam |
Microsoft's AI-901 guidance indicates that candidates should have conceptual Azure AI knowledge along with foundational Python coding and familiarity with Azure resources.
Final Thoughts
The AI-900 Microsoft Azure AI Fundamentals exam provided a strong foundation in AI, machine learning, computer vision, NLP, generative AI, and responsible AI. While AI-900 is now retired, the knowledge remains useful for beginners entering Azure AI.
Microsoft AI-901 Exam and Certification
Microsoft AI-901 Study Guide
Written By: Tannu Singh
Published on: 07/09/2026
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