Bridging Models, Prompts, and Agents: The Future of AI Apps in Azure AI Foundry

# Session Introduction

Title: Bridging Models, Prompts, and Agents: The Future of AI Apps in Azure AI Foundry
Artificial Intelligence is no longer just about training models — it’s about orchestrating the entire AI application lifecycle. Modern AI solutions demand seamless integration of data, foundation models, prompt engineering, orchestration agents, and responsible AI governance. That’s where Azure AI Foundry comes in.
In this session, we will explore how Azure AI Foundry empowers developers and architects to bridge the gap between raw models and production-grade AI applications. You’ll see how prompts, fine-tuning, and orchestration agents come together as the core building blocks of scalable AI apps.
We’ll dive into the technical and architectural view of Foundry:

• How to connect data pipelines with pre-trained models.
• How to build and manage prompt workflows effectively.
• How agents enable task automation, reasoning, and decision-making.
• How to ensure security, compliance, and responsible AI in every step.

Through a live demo, we’ll walk step-by-step from a use case idea to a working AI application, showcasing how Azure AI Foundry simplifies complexity into modular, reusable, and governed AI components.
By the end of this session, you’ll gain a blueprint for architecting AI solutions that go beyond experimentation — solutions that are scalable, trustworthy, and ready for the enterprise.