Learn how to use the Semantic Kernel SDK to build intelligent applications that automate tasks and perform natural language processing.
Level: Intermediate
Product: Azure OpenAI Service
Audience/Role: AI EngineerDeveloper
Subject: Natural language processing
Build your kernel
This module introduces the Semantic Kernel SDK. Learn how the kernel connects code to large language models to extend functionality with generative artificial intelligence.
Create plugins for semantic kernel
This module explores Semantic Kernel SDK plugins. Learn how plugins to the SDK are used to accomplish customized tasks and create intelligent applications.
Give your AI agent skills
This module explores native functions in the Semantic Kernel SDK. Learn how native functions can accomplish customized tasks, effectively giving your AI agent a "skill."
Combine Prompts and Functions
This module demonstrates how to combine functions and prompts with the Semantic Kernel SDK. Nesting functions within prompts can allow your code to complete tasks large language models can't typically complete on their own.
Use intelligent planners
This module introduces different ways to automatically invoke functions using the Semantic Kernel SDK. Learn how planners can generate plans to accomplish tasks and how to fine-tune planners to optimize performance.
Guided project - Create an AI travel agent
This module guides you through the steps required to develop a proof-of-concept AI Travel assistant with the Semantic Kernel SDK. By the end of this module, you complete a small chatbot application.
This one-day, instructor-led training is recommended as preparation for the assessment Develop AI agents using Microsoft Azure OpenAI and Semantic Kernel
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