Azure OpenAI in .NET
Azure OpenAI in .NET
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 7m | 261 MB
Instructor: Robert Eichenseer
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 7m | 261 MB
Instructor: Robert Eichenseer
Explore the world of Azure OpenAI through the lens of a .NET developer. Join Robert Eichenseer—a senior services engineer at Microsoft—as he provides an overview of Azure OpenAI, demonstrating how to enrich existing application functionality with AI or use it to create brand-new .NET projects. Throughout the course, Robert includes hands-on challenges and demos that lend a real-world context to each lesson.
Learning objectives
- Explore the structure and functionality of Azure OpenAI.
- Learn how OpenAI models can be made available on Azure.
- Describe the basic functionality of an LLM.
- Explore the basics of the REST interfaces and SDKs provided by Microsoft.
- Integrate AI models into your applications using REST calls or the SDK.
- Review how embeddings support the semantic search for information.
- Discover when and how to use embeddings to execute queries.
- Review three functionalities or strategies of Semantic Kernel.
Azure OpenAI in .NET
