Course Overview
Learn how to use the Semantic Kernel SDK to build intelligent applications that automate tasks and perform natural language processing.
Microsoft Applied Skills – the new credentials to verify in-demand technical skills. Get trained and certified in 2024 with Microsoft Malaysia’s Learning Partner of the Year 2024 today.
What are the skills covered
- Build your kernel
- Create plugins for semantic kernel
- Give your AI agent skills
- Combine Prompts and Functions
- Use intelligent planners
- Guided project – Create an AI travel agent
Who should attend this course
- Developer
Course Curriculum
What are the Prerequisites
- Experience programming in C#.
- Visual Studio Code IDE installed.
- Familiarity with Azure and the Azure portal.
- Access to Azure OpenAI Services.
Download Course Syllabus
Course Modules
This module introduces the Semantic Kernel SDK. Learn how the kernel connects code to large language models to extend functionality with generative artificial intelligence.
Learning objectives
- Understand the purpose of Semantic Kernel.
- Understand prompting basics.
- Learn techniques for more effective prompts.
Prerequisites
- Experience programming in C#.
- Visual Studio Code IDE installed.
- Familiarity with Azure and the Azure portal.
- Access to Azure OpenAI services.
This module explores Semantic Kernel SDK plugins. Learn how plugins to the SDK are used to accomplish customized tasks and create intelligent applications.
Learning objectives
- Understand the purpose of Semantic Kernel plugins
- Learn how to use premade plugins
- Learn how to create your own plugins
Prerequisites
- Experience programming in C#.
- Visual Studio Code IDE installed.
- Familiarity with Azure and the Azure portal.
- Access to Azure OpenAI Services.
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.”
Learning objectives
- Understand native functions in the Semantic Kernel SDK.
- Learn how to create native function plugins.
- Learn how to combine prompts with native functions.
Prerequisites
- Experience programming in C#.
- Visual Studio Code IDE installed.
- Familiarity with Azure and the Azure portal.
- Access to Azure OpenAI services.
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.
Learning objectives
- Practice creating plugins with the Semantic Kernel SDK.
- Learn how to combine prompts with native functions.
Prerequisites
- Experience programming in C#.
- Visual Studio Code IDE installed.
- Familiarity with Azure and the Azure portal.
- Access to Azure OpenAI Services.
- Experience using the Semantic Kernel SDK to create prompts.
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.
Learning objectives
- Understand planners in the Semantic Kernel SDK.
- Learn how to use planners to automate function calls.
- Learn how to optimize planners.
- Learn how to use Semantic Kernel SDK to automatically invoke functions.
Prerequisites
- Experience programming in C#.
- Visual Studio Code IDE installed.
- Familiarity with Azure and the Azure portal.
- Access to Azure OpenAI services.
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.
Learning objectives
- Create plugins for the Semantic Kernel.
- Create prompts to elicit the best responses from the large language model (LLM).
- Manipulate LLM responses to guide the execution of code.
- Automatically invoke the correct plugins to complete tasks.
Prerequisites
- Experience programming in C#.
- Visual Studio Code IDE installed.
- Familiarity with Azure and the Azure portal.
- Access to Azure OpenAI services.
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Training Options
- ILT: Instructor-Led Training
- VILT: Virtual Instructor-Led Training
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Exam & Certification
To earn this Microsoft Applied Skills credential, learners demonstrate the ability to develop AI agents by using Azure OpenAI Service and the Semantic Kernel SDK.
Candidates for this credential should be familiar with Visual Studio Code, C# programming, and Azure OpenAI.
Tasks performed
- Prepare the development environment
- Run prompts with Semantic Kernel
- Improve the prompt
- Create native plug-ins for Semantic Kernel
- Implement nested functions
- Improve automation by using planners
Training & Certification Guide
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