AI-3016: Develop Custom Copilots using Azure OpenAI Studio

Course Overview

In this intensive, hands-on course offered by CounselTrain, participants will explore and utilize the core features of Azure AI Studio. The training focuses on provisioning and managing AI resources, developing language model applications with prompt flow, and enhancing these models using Retrieval Augmented Generation (RAG) techniques. Additionally, you will gain valuable insights into creating responsible generative AI solutions, including strategies to identify and mitigate potential risks.

Practical Application: Participants will engage in real-world projects to apply their newly acquired skills in developing and managing AI projects within Azure AI Studio. This practical experience ensures that you can translate theoretical knowledge into actionable expertise.

Ideal For:

Professionals with programming experience in C#
Individuals familiar with Azure
Users with Visual Studio Code IDE installed

Key Learning Outcomes:

Master Azure AI Studio’s core features for AI resource management and project development.
Develop language model applications using prompt flow techniques.
Enhance models with custom data through Retrieval Augmented Generation (RAG).
Create responsible AI solutions by understanding and mitigating potential harms.
Apply practical skills to real-world projects, reinforcing theoretical knowledge.

Schedule Dates

AI-3016: Develop Custom Copilots using Azure OpenAI Studio

13 November 2024

AI-3016: Develop Custom Copilots using Azure OpenAI Studio

13 February 2025

AI-3016: Develop Custom Copilots using Azure OpenAI Studio

13 May 2025

AI-3016: Develop Custom Copilots using Azure OpenAI Studio

13 August 2025

Course Content

Describe core features and capabilities of Azure AI Studio
Use Azure AI Studio to provision and manage an Azure AI resource
Use Azure AI Studio to create and manage an AI project
Understand when to use Azure AI Studio

Get started with prompt flow to develop language model apps in the Azure AI Studio
Understand the development lifecycle when creating language model applications
Understand what a flow is in prompt flow.
Explore the core components when working with prompt flow

Identify the need to ground your language model with Retrieval Augmented Generation (RAG)
Index your data with Azure AI Search to make it searchable for language models
Build a copilot using RAG on your own data in the Azure AI Studio

Describe an overall process for responsible generative AI solution development
Identify and prioritize potential harms relevant to a generative AI solution
Measure the presence of harms in a generative AI solution
Mitigate harms in a generative AI solution
Prepare to deploy and operate a generative AI solution responsibly

FAQs

Participants should have:

Experience programming in C#.
Familiarity with Azure services.
Visual Studio Code IDE installed.

You will gain practical skills in:

Using Azure AI Studio’s core features for AI project development.
Developing and managing language model applications.
Enhancing models with custom data through RAG techniques.
Creating responsible AI solutions by identifying and addressing potential risks

Yes, the course includes hands-on labs where participants will work on real-world projects to apply their knowledge and skills in Azure AI Studio.

To enroll in the AI-3016 course, visit the CounselTrain website or contact our customer service team for more information and registration details.

For more information about the course or to address any queries, reach out to CounselTrain’s customer service team via email or phone. Our representatives will be happy to assist you.

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