Key Concepts of Artificial Intelligence Every AI-900 Candidate Should Know

Artificial Intelligence is no longer a futuristic abstraction—it is an operational reality embedded in modern cloud ecosystems. For candidates preparing for the Microsoft Azure AI Fundamentals (AI-900), the objective is not deep coding expertise, but conceptual clarity with business alignment. This guide distills the essential concepts you must internalize to confidently navigate both the exam and real-world AI conversations. 🧠 1. What is Artificial Intelligence? Artificial Intelligence (AI) refers to systems that can: • Learn from data • Recognize patterns • Make decisions or predictions Core Branches: • Machine Learning (ML) → Learning from data • Deep Learning (DL) → Neural network-based ML • Natural Language Processing (NLP) → Understanding human language • Computer Vision → Understanding images and videos 👉 Think of AI as a spectrum of capabilities, not a single technology. ⚙️ 2. Machine Learning Fundamentals Machine Learning is the backbone of AI. Types of Machine Learning: 🔹 Sup