What’s Included?

icon High-Quality Video, E-book & Audiobook icon Module Quizzes icon AI Mentor icon Access for Tablet & Phone

Prerequisites

    • Intermediate experience with C# programming
    • Visual Studio Code installed and configured
    • Familiarity with Azure and Azure portal
    • Access to Azure OpenAI resources

Skills You’ll Gain

  • Intelligent App Development
  • Prompt Customization
  • Task Automation Plugins
  • AI Capability Filtering
  • Azure OpenAI Integration
  • .NET AI Embedding
  • Semantic Kernel Usage
  • Secure AI Workflows

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Tools You’ll Master

Visual Studio Code

Visual Studio Code

Azure Portal

Azure Portal

Azure OpenAI Service

Azure OpenAI Service

Semantic Kernel SDK

Semantic Kernel SDK

.NET Core

.NET Core

What You’ll Learn

Build Semantic Kernel Apps

Configure kernel for intelligent task execution.

Create Plugins & Functions

Automate tasks using custom plugins and native functions.

Run Prompts & Filters

Apply prompts and filters in smart applications.

Integrate OpenAI with C#

Develop assistants using Azure OpenAI and C#.

Course Modules

Lesson 1: Develop generative AI apps with Azure OpenAI and Semantic Kernel

Module 1: Build your kernel

Module 2: Run prompts with Semantic Kernel

Module 3: Create Semantic Kernel plugins

Module 4: Apply filters on functions

Module 5: Guided project – Create a DevOps Assistant with the Semantic Kernel SDK

Frequently Asked Questions

It’s an SDK that connects .NET code to large language models for building intelligent applications.

Yes, access to Azure OpenAI is required to complete the exercises.

It’s best for developers with intermediate C# and Azure experience.

You’ll build intelligent apps like a DevOps assistant using AI-powered prompts and plugins.

Visual Studio Code is recommended for building and testing your applications.