In the evolving landscape of intelligent systems, theory alone rarely moves the needle. Real capability is forged in execution—where models meet messy data, APIs meet constraints, and ideas meet production reality. If you are preparing for the Microsoft Azure AI-102 certification hands-on labs are not optional—they are your competitive edge. Below is a structured, outcome-driven set of practical exercises designed to transform conceptual knowledge into deployable expertise. 🔹 1. Build Your First AI-Powered Web App Objective: Create an intelligent application using Azure AI services. What to Practice: • Integrate APIs from Azure Cognitive Services • Build a simple UI (React / HTML) that interacts with AI endpoints • Handle API responses and display insights dynamically Outcome: You understand how AI services plug into real-world applications—not just as theory, but as working systems. 🔹 2. Natural Language Processing with Text Analytics Objective: Extract meaning from unstructured text.…