Azure AI Foundry Overview: Pro-Code Azure AI Tooling

This comprehensive video tutorial provides an in-depth review of pro-code Azure AI tooling in Azure AI Foundry. Explore the differences between capital "C" Copilots and little "c" copilots, understand Copilot Studio capabilities, and learn how to select the right solution for your needs. Dive into Azure AI Foundry's core capabilities, various model types, and current AI trends. The tutorial covers traditional AI services versus generative AI, portal and SDK usage, model collections, deployment options (serverless endpoints and managed compute), and interaction methods with generative AI. Additional topics include model retirement policies, evaluation techniques, tracing, fine-tuning, distillation, inferencing API, safety considerations, agents, orchestrators, Azure AI Search integration, hubs and projects, and system integration approaches. The video includes helpful resources like whiteboards, GitHub marketplace information, data storage details, and retirement documentation links.