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
AI-3016: Develop Custom Copilots using Azure OpenAI Studio
AI-3016: Develop Custom Copilots using Azure OpenAI Studio
AI-3016: Develop Custom Copilots using Azure OpenAI Studio
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.