🤖 ✨ Microsoft Azure AI Fundamentals (AI-900) Certification Prep (2nd Edition)

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. 🎯

📝 Exam Information

• Name: Microsoft Azure AI Fundamentals
• Exam Code: AI-900
• Last Updated: April 24, 2024
• Official Page: Microsoft Learn AI-900

🎓 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

For the complete, detailed exam objectives, see AI-900-exam-objectives.md

🎯 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
• Create no-code predictive models with Azure Machine Learning
• Explore computer vision in Microsoft Azure
• Explore natural language processing
• Explore Azure OpenAI Service

Azure Documentation

• Azure AI Platform
• Azure OpenAI Service
• Azure Cognitive Services
• Azure Machine Learning
• Microsoft Responsible AI

Practice Resources

• Official Microsoft AI-900 Sample Questions
• Microsoft Learn AI-900 Practice Assessment
• Whizlabs AI-900
• MeasureUp AI-900

🛠️ 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
• GitHub: @timothywarner
• LinkedIn: Timothy Warner
• Twitter: @TechTrainerTim
• YouTube: Tech Trainer Tim
• Email: [email protected]
• Microsoft Learn: TimothyWarner

💬 License

This course material is licensed under the MIT License. See the LICENSE file for details.