Home Microsoft AI Training CoursesAZ-2005 Develop Generative AI solutions using Azure OpenAI and the Semantic Kernel SDK
AZ-2005 Develop Generative AI solutions using Azure OpenAI and the Semantic Kernel SDK
Guaranteed to Run
Price
$695.00
Duration
1 Day
Delivery Methods
Virtual Instructor Led Private Group
Delivery
Virtual
ESTDescription
Objectives
Prerequisites
Content
Course Description
Learn how to use the Semantic Kernel SDK to build intelligent applications that automate tasks and perform natural language processing.
Course Objectives
- Semantic Kernel Fundamentals – Understand its purpose, role, and integration with large language models
- Prompt Engineering – Apply techniques for effective and optimized prompting
- Plugins – Use pre-built plugins and create custom plugins to extend AI capabilities
- Native Functions & Agent Skills – Build native function plugins to equip AI agents with specialized skills
- Prompts + Functions – Combine prompts with functions and create nested workflows for complex tasks
- Intelligent Planners – Automate function calls and optimize planning with the Semantic Kernel SDK
- Automatic Function Invocation – Enable context-aware, user-driven function execution
- Hands-on Project – Build a practical AI solution (e.g., AI travel agent) with plugins, routing, and contextual responses
Who Should Attend?
- C# Developers working with the Semantic Kernel SDK
- Azure Professionals integrating AI into cloud solutions
- AI/ML Developers & IT Staff building copilots and intelligent agents with Azure OpenAI
Course Prerequisites
- Experience programming in C#.
- Visual Studio Code IDE installed.
- Familiarity with Azure and the Azure portal.
- Access to Azure OpenAI Services.
Course Content
Module 1: Build Your Kernel
- What is Semantic Kernel
- Why use it
- How to build a kernel
Module 2: Create Plugins
- Explore built-in plugins
- Optimize and save prompts
Module 3: Equip AI Agents with Skills
- Understand and use native functions
Module 4: Combine Prompts and Functions
- Integrate functions into prompts
Module 5: Intelligent Planners & Automation
- AI planners and their use
- Planner optimization
- Automatic function invocation
Module 6: Guided Project – AI Travel Agent
- Build a functional agent with prompts, plugins, and context handling
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