Microsoft Azure AI Fundamentals
AI-901 AI Concepts
Teach machine learning, vision, OCR, speech, NLP and service-selection distinctions. AI-901 is active after AI-900 retired, so this page focuses on current Microsoft guidance and scenario-based readiness.
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AI-901 AI concepts preparation should connect official objectives to realistic practice. This guide uses original explanations and current AI-901 positioning so you do not waste time preparing for the retired AI-900 exam.
AI-901 replaced retired AI-900 for Azure AI Fundamentals.
Microsoft lists 700 as the passing score.
AI concepts plus Microsoft Foundry implementation awareness.
Use original scenarios, explanations and mixed review.
Quick Answer
AI-901 AI concepts include machine learning task types, computer vision, OCR, speech and natural language processing. The exam can ask you to identify which capability fits a scenario and what kind of input or output is involved.
Classification
Classification predicts a category. If a scenario asks whether an email is spam, whether a claim is high risk or which product type an image shows, classification is likely.
Exam Tip: AI-901 preparation should follow the current Microsoft exam page and study guide. Use older AI-900 material only when it still matches the AI-901 objectives.
| Area | What it covers | How to practise |
|---|---|---|
| AI concepts | Workloads, capabilities, responsible AI | Name the workload and decision clue. |
| Microsoft Foundry | Build, evaluate and manage AI apps or agents | Connect scenario to implementation step. |
| Machine learning | Classification, regression, clustering | Identify input, output and prediction type. |
| Vision and language | OCR, image analysis, speech, NLP | Read the data type before choosing service. |
| Generative AI | Prompts, grounding, foundation models | Identify source, risk and control. |
Regression
Regression predicts a number. Sales forecast, price estimate, energy usage prediction and delivery time estimate are common clues.
Clustering
Clustering groups similar items without predefined labels. Customer segmentation and pattern discovery are typical examples.
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Computer Vision
Computer vision interprets images and video. It can support object detection, image classification, face-related features and spatial analysis depending on the service and scenario.
OCR and Document Understanding
OCR extracts text from images or documents. Do not confuse it with image classification; OCR reads text, while classification labels an image or item.
Speech and Language
Speech services handle audio input or output. Natural language processing handles text tasks such as sentiment, key phrase extraction, translation, summarisation or intent detection.
Exam Tip: AI-901 preparation should follow the current Microsoft exam page and study guide. Use older AI-900 material only when it still matches the AI-901 objectives.
Common Mistake
Candidates often answer with the most familiar service instead of the capability. Read the input and output first: image, text, audio, document, number or category.
Final Concept Advice
Build a table of scenario clues. AI-901 rewards being able to translate business needs into the correct AI capability.
Quick Answer Practice Depth
For AI-901 AI concepts, turn this topic into a short practice routine. Read one scenario, identify the input and outcome, choose the workload or service, then explain why two alternative answers are weaker. This explanation-first habit is what makes practice valuable instead of passive memorisation.
When a question mentions a business goal, ask whether it needs prediction, classification, extraction, generation, translation, summarisation, grounding or governance. That simple checklist keeps your answer tied to the scenario and helps you avoid choosing a service name only because it sounds familiar.
Classification Practice Depth
For AI-901 AI concepts, turn this topic into a short practice routine. Read one scenario, identify the input and outcome, choose the workload or service, then explain why two alternative answers are weaker. This explanation-first habit is what makes practice valuable instead of passive memorisation.
When a question mentions a business goal, ask whether it needs prediction, classification, extraction, generation, translation, summarisation, grounding or governance. That simple checklist keeps your answer tied to the scenario and helps you avoid choosing a service name only because it sounds familiar.
Regression Practice Depth
For AI-901 AI concepts, turn this topic into a short practice routine. Read one scenario, identify the input and outcome, choose the workload or service, then explain why two alternative answers are weaker. This explanation-first habit is what makes practice valuable instead of passive memorisation.
When a question mentions a business goal, ask whether it needs prediction, classification, extraction, generation, translation, summarisation, grounding or governance. That simple checklist keeps your answer tied to the scenario and helps you avoid choosing a service name only because it sounds familiar.
Related AI-901 Guides
Use these guides to move from broad AI-901 preparation into the topic you need next.
Frequently Asked Questions
Is AI-901 the replacement for AI-900?
Yes. AI-900 retired on June 30, 2026, and AI-901 is the current route for Azure AI Fundamentals.
Is AI-901 beginner friendly?
Yes, but candidates should still understand Azure AI concepts, Microsoft Foundry basics and Python syntax at a fundamentals level.
What score do I need?
Microsoft lists a passing score of 700 for AI-901.
Can I use old AI-900 material?
Some concepts transfer, but your final preparation should follow current AI-901 objectives.
Does Heycademy copy official questions?
No. Heycademy uses original practice examples and explanations.
Where should I practise after reading?
Use the Heycademy quick test and app practice flow to move from reading into timed and untimed practice.
Use the Heycademy App With This Guide
If you already have access, you can log in to the Heycademy app and continue your AI-901 practice there. Use the app after reading this guide to move from advice into timed practice, explanations and focused review.
Ready to begin?
Start preparing today
Build confidence with structured practice and clear guidance.
Final Preparation Note
Before booking or taking the real exam, confirm the latest details on Microsoft Learn and follow the exam provider instructions. Heycademy is independent and is not affiliated with or endorsed by Microsoft.
This content uses original practice examples and avoids official or live exam questions.