https://github.com/timothywarner/ai900
AI-900 Azure AI Fundamentals certification prep (May 2025 exam) - Hands-on demos for O'Reilly & MS Press courses by Microsoft MVP Tim Warner
https://github.com/timothywarner/ai900
2025update ai ai-900 azure certification-prep cognitive-services openai oreilly
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AI-900 Azure AI Fundamentals certification prep (May 2025 exam) - Hands-on demos for O'Reilly & MS Press courses by Microsoft MVP Tim Warner
- Host: GitHub
- URL: https://github.com/timothywarner/ai900
- Owner: timothywarner
- License: mit
- Created: 2020-09-16T11:52:10.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2025-09-02T17:45:08.000Z (about 1 month ago)
- Last Synced: 2025-09-05T11:02:30.848Z (about 1 month ago)
- Topics: 2025update, ai, ai-900, azure, certification-prep, cognitive-services, openai, oreilly
- Language: HTML
- Homepage: https://techtrainertim.com
- Size: 68.3 MB
- Stars: 58
- Watchers: 5
- Forks: 29
- Open Issues: 11
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: docs/CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
- Security: docs/SECURITY.md
- Agents: AGENTS.md
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README
# 🤖 ✨ Microsoft Azure AI Fundamentals (AI-900) Certification Prep (2nd Edition)
[](https://techtrainertim.com) [](https://github.com/timothywarner) [](https://www.linkedin.com/in/timothywarner)
Short link: [go.techtrainertim.com/ai900](https://github.com/timothywarner/ai900/)
Welcome to the official preparation course for the Microsoft Azure AI Fundamentals (AI-900) certification exam. This training program is designed to help you master Azure AI services and achieve certification. 🎯
## 📝 Exam Information
- **Name**: Microsoft Azure AI Fundamentals
- **Exam Code**: AI-900
- **Last Updated**: April 24, 2024
- **Official Page**: [Microsoft Learn AI-900](https://learn.microsoft.com/credentials/certifications/azure-ai-fundamentals/)
## 🎓 Course Overview
This course provides hands-on experience and in-depth knowledge of Microsoft Azure AI services, including Azure OpenAI Service, Cognitive Services, Machine Learning, and responsible AI practices.
## 🎯 Certification Exam Domains
| Domain | Weight |
|------------------------------------------------------------|------------|
| Describe Artificial Intelligence workloads and considerations | 15-20% |
| Describe fundamental principles of machine learning on Azure | 20-25% |
| Describe features of computer vision workloads on Azure | 15-20% |
| Describe features of Natural Language Processing workloads | 15-20% |
| Describe features of generative AI workloads on Azure | 15-20% |
For the complete, detailed exam objectives, see [AI-900-exam-objectives.md](./docs/AI-900-exam-objectives.md)
Quick navigation: see the curated [Docs Index](./docs/INDEX.md) for a guided tour of demos, apps, and course materials.
## 🎯 Learning Objectives
By completing this course, you will:
- 🚀 Understand core AI concepts and Microsoft's approach to responsible AI
- 💻 Gain practical experience with Azure Machine Learning
- 🔍 Implement computer vision solutions using Azure Cognitive Services
- 🗣️ Build natural language processing solutions with Azure services
- 🤖 Create generative AI solutions with Azure OpenAI Service
- 📝 Prepare effectively for the AI-900 certification exam
## 📚 Official Learning Resources
### Microsoft Learn Paths
- [Get started with artificial intelligence on Azure](https://docs.microsoft.com/en-us/learn/paths/get-started-with-artificial-intelligence-on-azure/)
- [Create no-code predictive models with Azure Machine Learning](https://docs.microsoft.com/en-us/learn/paths/create-no-code-predictive-models-azure-machine-learning/)
- [Explore computer vision in Microsoft Azure](https://docs.microsoft.com/en-us/learn/paths/explore-computer-vision-microsoft-azure/)
- [Explore natural language processing](https://docs.microsoft.com/en-us/learn/paths/explore-natural-language-processing/)
- [Explore Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/explore-azure-openai/)
### Azure Documentation
- [Azure AI Platform](https://azure.microsoft.com/en-us/overview/ai-platform/)
- [Azure OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/)
- [Azure Cognitive Services](https://azure.microsoft.com/en-us/services/cognitive-services/)
- [Azure Machine Learning](https://docs.microsoft.com/en-us/azure/machine-learning/)
- [Microsoft Responsible AI](https://www.microsoft.com/en-us/ai/responsible-ai)
### Practice Resources
- [Official Microsoft AI-900 Sample Questions](https://learn.microsoft.com/credentials/certifications/resources/practice-assessments)
- [Microsoft Learn AI-900 Practice Assessment](https://learn.microsoft.com/credentials/certifications/azure-ai-fundamentals/practice/assessment?assessment-type=practice&assessmentId=26)
- [Whizlabs AI-900](https://www.whizlabs.com/microsoft-azure-certification-ai-900/)
- [MeasureUp AI-900](https://www.measureup.com/ai-900-microsoft-azure-ai-fundamentals.html)
## 🛠️ Hands-on Labs & Demos
This repository contains practical demos and hands-on labs for each exam domain:
- **AI Workloads & Considerations**: Responsible AI principles, Azure AI services overview
- **Machine Learning on Azure**: Azure ML workspace, automated ML, no-code ML
- **Computer Vision**: Image analysis, face detection, OCR, custom vision
- **Natural Language Processing**: Text analytics, translator, language understanding
- **Generative AI**: Azure OpenAI Service, prompt engineering, responsible AI practices
## 📋 Prerequisites
- 💻 Basic understanding of cloud computing concepts
- 🌐 Familiarity with Microsoft Azure (helpful but not required)
- 🔑 Microsoft Azure subscription (free trial or paid)
- 📝 Interest in artificial intelligence and machine learning
## 👨🏫 Instructor Contact
- **Name:** Tim Warner
- **Title:** Microsoft MVP & Certified Trainer
- **Website:** [techtrainertim.com](https://techtrainertim.com)
- **GitHub:** [@timothywarner](https://github.com/timothywarner)
- **LinkedIn:** [Timothy Warner](https://linkedin.com/in/timothywarner)
- **Twitter:** [@TechTrainerTim](https://twitter.com/TechTrainerTim)
- **YouTube:** [Tech Trainer Tim](https://youtube.com/c/TimothyWarner)
- **Email:** [tim@techtrainertim.com](mailto:tim@techtrainertim.com)
- **Microsoft Learn:** [TimothyWarner](https://learn.microsoft.com/users/timothywarner/transcript)
## 💬 License
This course material is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.