As a professional enterprise architect or developer, you are required to build new applications that leverage large language models and Generative AI.
In this one-day master class, we will demystify how Generative AI works. We will start with the basics and then dive deep into important topics such as token generation, vector similarity, embeddings, different model types, and more. Next, we will explore various levels of application for specific use cases. We will begin with simple application types that use prompt engineering and demonstrate how these can be enhanced with techniques like Retrieval-Augmented Generation (RAG).

Finally, we will showcase how plugins can help integrate Generative AI into any software system and explain techniques to reduce or even prevent hallucinations.

Through numerous demos, we will illustrate how .NET developers and developers from other backgrounds can build AI agents that execute intelligent code in any application.

You will also gain insights into Microsoft Azure AI Foundry and the Open Source Semantic Kernel, both used internally at Microsoft. We will demonstrate how these frameworks can be employed to build applications and powerful backends that integrate AI into any software system, whether running in Azure or on-premises.

Most Demos will be in C#/.NET and Visual Studio. However, you are required to have a good technical knowledge of any programming language and any IDE.