AI-103 Tutorial #3 — Choosing Models in Microsoft Foundry | Azure AI Foundations

Welcome back to the Azure AI Foundations series! This is Tutorial #3 of our AI-103 exam preparation path. In this video, we dive deep into one of the most critical decisions you'll make in the Azure AI ecosystem: Choosing Models in Microsoft Foundry. Microsoft Foundry acts as a unified hub for accessing, evaluating, and deploying both pre-built and open-source AI models. Understanding how to select the right model for your specific application is crucial for passing the AI-103 exam and building effective solutions. In this tutorial, you will learn: 🗓️ Microsoft Foundry Overview: How it fits into the broader Azure AI architecture. 🤝 Supported Model Ecosystem: A look at the diverse range of models available (from OpenAI, Meta, Microsoft, and more). 📊 Key Decision Factors: How to evaluate models based on performance, cost, intended use case, and required capabilities. 🎯 Best Practices for Selection: A step-by-step approach to matching the right model to your business and technical requirements. 🔔 Subscribe to stay updated on the entire AI-103 certification series! 👍 Like this video if you found it helpful! #AI103 #MicrosoftFoundry #AzureAI #AzureAI #MachineLearning #MicrosoftCert #CloudComputing #AI #ArtificialIntelligence #ModelSelection #LLM