Introducing the Azure AI serverless API models and the Inference API
Large language models get all the attention. But for Business Central developers building real-world AI solutions, small language models (SLMs) deployed as serverless APIs are often the smarter, leaner and more practical choice.
In this 60-minute expert session, Business Central and Azure MVP Stefano Demiliani introduces you to Azure AI Studio, walks you through the world of SLMs, and shows you how to deploy and consume AI models as serverless APIs in your BC development projects.
Stefano brings deep, hands-on expertise in both Business Central and Azure, making him uniquely placed to bridge the gap between AI infrastructure and practical AL development.
This session gives you the foundation to start integrating Azure AI models into your extensions in a way that is scalable, cost-effective and production-ready. The AI models your solutions need do not have to be big to be powerful.
6. Agenda
- Intro to Azure AI Studio
- Intro to Small Language Models
- Deploying AI models as serverless APIs
- Consuming AI models as serverless APIS
- Q&A
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Who is this course for?
Experienced Business Central developers who want to understand Azure AI Studio, explore the potential of small language models, and learn how to deploy and consume AI models as serverless APIs in their extensions.
What will you learn?
- What Azure AI Studio is and how it fits into the AI development landscape for Business Central developers
- What small language models are, how they differ from large language models and why they matter for BC development
- How to deploy AI models as serverless APIs using Azure AI Studio
- How to consume serverless AI APIs from your Business Central AL extensions
- How to make informed decisions about which AI model type fits your specific use case