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Ai-900-requisites
📘 AI-900: Microsoft Azure AI Fundamentals – Learning Journey & Project Repository This repository documents my preparation journey and conceptual understanding of the AI-900: Microsoft Azure AI Fundamentals certification. It is a personal knowledge base for learning and experimenting with Microsoft’s cloud-based AI services.
🎓 AI-900: Microsoft Azure AI Fundamentals – Learning & Practice Repository
This repository is a comprehensive collection of learning resources, practice assessments, and notes created while preparing for and successfully clearing the AI-900: Microsoft Azure AI Fundamentals certification exam.
❓ Why AI-900?
The AI-900 certification is an excellent entry point for students, beginners, and professionals interested in:
- Understanding Artificial Intelligence and Machine Learning concepts
- Gaining practical exposure to Azure AI Services
- Laying the foundation for advanced certifications like DP-100, AI-102, or Azure Data Engineer
🧠 Core Domains Covered in AI-900
1. Describe Artificial Intelligence workloads and considerations (15–20%)
- Common AI workloads: prediction, classification, regression, anomaly detection
- Responsible AI: fairness, reliability, privacy, transparency
2. Describe fundamental principles of machine learning on Azure (30–35%)
- Types of ML: supervised, unsupervised, reinforcement learning
- Lifecycle: data collection, preparation, training, deployment
- Tools: Azure Machine Learning Studio, Automated ML
3. Describe features of computer vision workloads on Azure (15–20%)
- Tasks: image classification, object detection, OCR
- Services: Computer Vision API, Custom Vision, Face API
4. Describe features of Natural Language Processing (15–20%)
- NLP tasks: sentiment analysis, key phrase extraction, language detection
- Services: Azure Text Analytics, Language Studio
5. Describe features of conversational AI workloads (15–20%)
- Use cases: chatbots, virtual agents
- Services: Azure Bot Service, Language Understanding (LUIS), QnA Maker
🛠 Technologies & Tools Used
| Tool/Service | Purpose |
|---|
| Azure AI Services |
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📘 Study notes, key concepts, and learning resources for Microsoft Azure AI-900: Azure AI Fundamentals certification. Includes personal takeaways, visual breakdowns, and LinkedIn-ready materials.
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