https://github.com/microsoftcloudessentials-learninghub/ai-900studyguide
Study Guide for AI-900 Microsoft certification. Check the official Microsoft documentation for official materials.
https://github.com/microsoftcloudessentials-learninghub/ai-900studyguide
ai-900-questions ai-900-questions-answers artificial-intelligence certification computer-vision custom-vision machine-learning microsoft microsoft-azure natual-language-processing nlp-machine-learning
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Study Guide for AI-900 Microsoft certification. Check the official Microsoft documentation for official materials.
- Host: GitHub
- URL: https://github.com/microsoftcloudessentials-learninghub/ai-900studyguide
- Owner: MicrosoftCloudEssentials-LearningHub
- License: apache-2.0
- Created: 2025-02-06T23:23:31.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-11-14T05:03:06.000Z (7 months ago)
- Last Synced: 2025-11-14T07:08:44.057Z (7 months ago)
- Topics: ai-900-questions, ai-900-questions-answers, artificial-intelligence, certification, computer-vision, custom-vision, machine-learning, microsoft, microsoft-azure, natual-language-processing, nlp-machine-learning
- Homepage:
- Size: 710 KB
- Stars: 1
- Watchers: 0
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- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Study Guide: Azure AI Fundamentals (AI-900)
Costa Rica
[](https://github.com/)
[brown9804](https://github.com/brown9804)
Last updated: 2025-07-22
----------
> A landing zone is a general `cloud framework that sets up the core structure for all workloads`. Each use case (like an app, data pipeline, or API) then builds on top of this framework, using the `same environments (Dev → Test → UAT → Prod) and CI/CD pipelines to move code safely into production.` It’s general by design, but `applied per use case.`
> [!NOTE]
> The questions and answers provided in this study guide are for practice purposes only and are not official practice questions. They are intended to help you prepare for the [AI-900 Microsoft certification exam](https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900). For additional preparation materials and the most up-to-date information, please refer to the [official Microsoft documentation](https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/?practice-assessment-type=certification). Read all here [Study guide for Exam AI-900: Microsoft Azure AI Fundamentals](https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900)
> `How we move from basic coding all the way to AI agents?`
```mermaid
flowchart LR
A[Scripting: Line-by-line instructions] --> B[Machine Learning: Packages + statistical foundations]
B --> C[LLMs: Reasoning, understanding, human-like responses]
C --> D[Agents: LLMs with ability to act]
%% Styling
classDef step fill:#4a90e2,stroke:#333,stroke-width:2px,color:#fff,font-weight:bold;
class A,B,C,D step;
%% Extra notes
A:::step
B:::step
C:::step
D:::step
```
More details about it here (Click to expand)
> - We all `start with scripting`, no matter the language, it’s the first step. `Simple/complex instructions, written line by line`, to get something done
> - Then comes `machine learning`. At this stage, we’re not reinventing the math, we’re `leveraging powerful packages built on deep statistical and mathematical foundations.` These tools let us `automate smarter processes, like reviewing claims with predictive analytics. You’re not just coding anymore; you’re building systems that learn and adapt.`
> - `LLMs`. This is what most people mean when they say `AI.` Think of `yourself as the architect, and the LLM as your strategic engine. You can plug into it via an API, a key, or through integrated services. It’s not just about automation, it’s about reasoning, understanding, and generating human-like responses.`
> - And finally, `agents`. These are LLMs with the `ability to act`. They don’t just respond, `they take initiative. They can create code, trigger workflows, make decisions, interact with tools, with other agents. It’s where intelligence meets execution`
## Content
- [Artificial Intelligence: Sample Questions and Answers](./0_AI-questions.md)
- [Machine Learning: Sample Questions and Answers](./1_ML-questions.md)
- [Computer Vision: Sample Questions and Answers](./2_CV-questions.md)
## Skills measured
- Describe Artificial Intelligence workloads and considerations
- Describe fundamental principles of machine learning on Azure
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
- Describe features of generative AI workloads on Azure
> [!TIP]
> Check out [Certification poster](https://arch-center.azureedge.net/Credentials/Certification-Poster-en-us.pdf)
Badge from [Credly](https://www.credly.com/org/microsoft-certification/badge/microsoft-certified-azure-ai-fundamentals)
Refresh Date: 2025-08-05