Build a Copilot App using Azure AI Studio and Semantic Kernel

Duration

2 Days

Upcoming Batch

28 September 2026 - 29 September 2026

Batch Options

8 hours & 4 hours

Language

English / Arabic

Course Overview

Creating a Copilot app using Azure AI Studio and Semantic Kernel involves integrating advanced artificial intelligence capabilities into a powerful, user-friendly application. Azure AI Studio provides a comprehensive suite of tools and services for developing AI-powered solutions, offering a robust platform to build, train, and deploy intelligent applications. By leveraging Semantic Kernel, a specialized framework designed for natural language understanding and generation, you can enhance your app’s ability to interpret and respond to user inputs with greater accuracy and context.

This integration allows you to create a Copilot app that not only assists users with tasks but also understands their needs through conversational interactions. The Semantic Kernel enables the app to process and generate natural language, making it possible to design an intuitive user experience where the AI can provide meaningful responses and recommendations. Combining the capabilities of Azure AI Studio with the Semantic Kernel opens up new possibilities for developing sophisticated, intelligent applications that can support a wide range of user activities and enhance productivity.

Schedule Dates

28 September 2026 - 29 September 2026

Build a Copilot App using Azure AI Studio and Semantic Kernel

28 December 2026 - 29 December 2026

Build a Copilot App using Azure AI Studio and Semantic Kernel

29 March 2027 - 30 March 2027

Build a Copilot App using Azure AI Studio and Semantic Kernel

05 July 2027 - 06 July 2027

Build a Copilot App using Azure AI Studio and Semantic Kernel

Course Content

Azure OpenAI’s base model and its deployment
Lab: Generate text with Azure OpenAI Service (SDK)
Lab: Generate code with Azure OpenAI Service (SDK)
Lab: Generate image with Azure OpenAI Service (SDK)

Overview of Azure AI Studio
Workflow for Building Chat Copilot using Azure AI Studio
Azure OpenAI with Assistants API
Lab: Build your own Chat Copilot using your own data (Azure AI Studio)
Lab: Build your own Chat Copilot using your own data (Assistants API)

Prompt flow Overview
Develop Prompt flows
Evaluate Prompt flows
Lab: Prompt flow design using templates (Standard flow, Chat flow & Evaluation flow)

Initialize the kernel
Give your agent skills with plugin
Improve automation with planners
Understanding embeddings
Store context in vector databases
Responsible AI using Semantic Kernel
The Schillace Law's
Hands-on/Lab: Create AI Agents using Semantic Kernel

Lab: Basic Labs on Semantic Functions
Lab: Adding plugins to Semantic Kernel
Lab: Adding memories to Semantic Kernel
Lab: Using connectors in Semantic Kernel
Lab: Chaining concept in Semantic Kernel
Lab: Integrating Bing with Azure OpenAI using Semantic Kernel

Solution Architecture of semantic kernel in a box
Demo working project on semantic kernel in a box

FAQs

Participants should have a basic understanding of AI and machine learning concepts. Familiarity with Azure services is beneficial but not mandatory.

Participants will gain skills in:

Utilizing Azure AI Studio to build, train, and deploy AI models.
Understanding and applying Semantic Kernel technology for text data interpretation.
Developing sophisticated AI-driven assistants or copilots.
Integrating advanced AI features into applications.

Yes, the certification includes practical, hands-on labs where participants will apply the concepts learned to real-world scenarios, gaining practical experience with Azure AI Studio and Semantic Kernel.

You can enroll in the Build a Copilot App using Azure AI Studio and Semantic Kernel certification program by visiting the CounselTrain website or contacting our customer service for more details.

For more information, you can reach out to CounselTrain’s customer service team via email or phone. Our representatives will be happy to assist you with any queries you may have.

Once enrolled, participants will receive access to all necessary training materials, including lecture notes, lab exercises, and additional resources through the CounselTrain learning platform.