Develop Generative AI solutions using Azure OpenAI and the Semantic Kernel SDK (AZ-2005)

Course Objectives
• Build your kernel
• Create plugins for semantic kernel
• Give your AI agent skills
• Use intelligent planners
• Guided project - Create an AI travel agent

Target Audience
• Azure Developer
• AI Engineer
• Data Scientist

Prerequisites Recommended:
• Experience programming in C#.
• Visual Studio Code IDE installed.
• Familiarity with Azure and the Azure portal.
• Access to Azure OpenAI Services. 

Course Outline

1) Build your kernel
• Understand the purpose of Semantic Kernel
• Understand prompting basics
• Learn techniques for more effective prompts
• Lab: Create your endpoint
• Lab: Build a kernel object

2) Create plugins for semantic kernel
• Understand the purpose of Semantic Kernel plugins
• Learn how to use premade plugins
• Learn how to create your own plugins
• Lab: Use built-in plugins
• Lab: Write your own prompt
• Lab: Use personas in prompts
• Lab: Saving prompts to files

3) Give your AI agent skills
• Understand native functions in the Semantic Kernel SDK
• Learn how to create native function plugins
• Learn how to combine prompts with native functions
• Lab: Create native functions
• Lab: Combine prompts and functions

4) Use intelligent planners
• 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
• Lab: Create a planner
• Lab: Use a plan template
• Lab: Automatically invoke functions

5) Guided project Create an AI travel agent
• 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
• Lab: Create a currency converter
• Lab: Route user intent
• Lab: Provide context cues