Short link: go.techtrainertim.com/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. 🎯
- Name: Microsoft Azure AI Fundamentals
- Exam Code: AI-900
- Last Updated: April 24, 2024
- Official Page: Microsoft Learn AI-900
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.
| 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
Quick navigation: see the curated Docs Index for a guided tour of demos, apps, and course materials.
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
- Get started with artificial intelligence on Azure
- Create no-code predictive models with Azure Machine Learning
- Explore computer vision in Microsoft Azure
- Explore natural language processing
- Explore Azure OpenAI Service
- Azure AI Platform
- Azure OpenAI Service
- Azure Cognitive Services
- Azure Machine Learning
- Microsoft Responsible AI
- Official Microsoft AI-900 Sample Questions
- Microsoft Learn AI-900 Practice Assessment
- Whizlabs AI-900
- MeasureUp AI-900
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
- 💻 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
- Name: Tim Warner
- Title: Microsoft MVP & Certified Trainer
- Website: techtrainertim.com
- GitHub: @timothywarner
- LinkedIn: Timothy Warner
- Twitter: @TechTrainerTim
- YouTube: Tech Trainer Tim
- Email: tim@techtrainertim.com
- Microsoft Learn: TimothyWarner
This course material is licensed under the MIT License. See the LICENSE file for details.