You don't need a data science team to add AI features to your application. This session shows application developers how to integrate AI capabilities using APIs, SDKs, and patterns that fit into a normal development workflow. We'll cover five practical feature types: classification, summarization, semantic search, data extraction, and content generation. You'll see how to call LLM APIs, generate and use embeddings for similarity search, build RAG pipelines grounded in your data, and implement function calling. Along the way, we'll demonstrate the libraries, plugins, and APIs you can use to enable AI capabilities in your existing applications. No PhD required.

You will learn:

• About the tooling available to integrate language models into existing .NET applications
• How to provide guidance and recommendations around error handling, testing, and cost control
• The process with an existing application