Development of AI agents with Azure OpenAI and Semantic Kernel SDK (AZ-2005)
.svg)
.svg)
.svg)
Machine Learning Engineer
1. create your kernel
This module introduces Semantic Kernel SDK. Learn how the kernel combines code with large language models to extend functions with generative artificial intelligence.
2. creating plug-ins for Semantic Kernel
This module explores plug-ins for Semantic Kernel SDK. Learn how to use plug-ins for SDK to perform customized tasks and create intelligent applications.
3. extend your AI agents with skills
This module explores native functions in the Semantic Kernel SDK. Learn how native functions can perform customized tasks, effectively giving your AI agent a "skill".
4. using intelligent plans
This module introduces different ways to automatically call functions using Semantic Kernel SDK. Learn how planners can create plans to execute tasks and how you can optimize planners to optimize performance.
5th Guided Project - Creating an AI Travel Agent
This module will guide you through the steps required to develop a proof of concept for an AI travel assistant using the Semantic Kernel SDK. At the end of this module, you will complete a small chatbot application.
- Understanding the purpose of the Semantic Kernel
- Understanding the basics of prompting
- Learning techniques for more effective prompts
- Understanding the purpose of Semantic Kernel plugins
- Using ready-made plugins and creating your own plugins
- Understanding the native functions in the Semantic Kernel SDK
- Creating plugins for native functions
- Combining prompts with native functions
- Understanding the planners in the Semantic Kernel SDK
- Using planners to automate function calls
- Optimizing planners
- Using the Semantic Kernel SDK to automatically call functions
- Creating plugins for the Semantic Kernel
- Creating prompts to elicit the best answers from the large language model (LLM)
- Manipulating LLM responses to control the execution of code
- Automatic invocation of the right plugins to perform tasks
This course consists of training training and is led by a trainer who supervises the participants live. Theory and practice are taught with live demonstrations and practical exercises. The video conferencing software Zoom is used.
Participants should have the following knowledge:
- Programming experience with C#
- Installed Visual Studio Code IDE
- Familiarity with Azure and the Azure portal
- Access to Azure OpenAI services
.svg)
