AZ-2005 Training: Develop AI agents using Azure OpenAI and the Semantic Kernel SDK

Overview

In our Azure AI Semantic Kernel training course, you will learn how to create intelligent, responsive AI agents by integrating large language models with your own code using the Semantic Kernel SDK. This course teaches you to build your kernel as well as how to start developing plugins and using planners to automate complex tasks. Be empowered to build AI agents that can really understand and respond to natural language in such innovative ways!

Audience Profile

This course is ideal for developers and AI enthusiasts who are experienced in programming with C# and are also looking to expand their skills by incorporating modern AI capabilities into their applications. Whether you are just developing a simple chatbot or implementing a complex AI system, this course provides you the foundational knowledge as well as the practical skills necessary to leverage the real power of Azure OpenAI and the Semantic Kernel SDK.

Get Started by Building Your Kernel

• Understand what the Semantic Kernel SDK is and how it extends AI capabilities
• Learn the basics of setting up and configuring your Semantic Kernel
• Create your own endpoint and build a kernel object to start integrating AI into your applications

Expand AI Capabilities with Custom Plugins

• Explore how to use and create plugins within the Semantic Kernel SDK
• Understand how plugins can perform customized tasks to enhance AI functionality
• Develop your own plugins to accomplish specific tasks within your intelligent applications

Equip Your AI Agent with Specialized Skills

• Learn how to create native functions that give your AI agent new abilities
• Understand the integration of native functions with LLMs to accomplish complex tasks
• Practice creating and implementing native functions that add specific skills to your AI agent

Combine Functions and Prompts for Advanced Interactions

• Discover how to nest functions within prompts to create more sophisticated AI interactions
• Learn how to design prompts that use functions to handle tasks beyond the scope of LLMs
• Experiment with combining functions and prompts to provide richer user experiences

Automate Task Management with Intelligent Planners

• Explore how planners can automatically invoke functions based on user input
• Learn to create and fine-tune planners for optimized performance
• Develop adaptive AI agents that respond intelligently to dynamic scenarios

Bring It All Together with a Guided AI Project

• Follow a step-by-step guide to develop an AI assistant using the Semantic Kernel SDK
• Apply the knowledge and skills you’ve gained throughout the course to create a proof-of-concept application
• Demonstrate your ability to integrate LLMs, plugins, and planners into a functional AI agent