AI-3016: Develop Copilots with Azure AI Studio Course Outline

Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.

Overview
Unlock the full potential of AI with this comprehensive course, designed to empower professionals in developing advanced AI applications. This course delves into Azure AI Studio, guiding you through provisioning and managing AI resources, and creating AI projects with ease. Participants will gain hands-on experience with prompt flow to develop language model applications and build Retrieval Augmented Generation (RAG)-based copilots using their data.

This course also emphasizes responsible AI practices, equipping you with the skills to identify, measure, and mitigate potential harms in generative AI solutions. Ideal for those looking to enhance their AI capabilities, this course offers practical labs and real-world scenarios to ensure you can deploy and operate AI solutions responsibly.

Audience Profile
This course is ideal for AI developers, data scientists, and IT professionals who are responsible for developing, managing, or deploying AI solutions. It is also beneficial for technology managers and decision-makers looking to understand the capabilities and implementation of AI projects using Azure AI Studio.

Prerequisites
TBD

COURSE OUTLINE

Module 1: Introduction to Azure AI Studio
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
Lab: Explore Azure AI Studio

Module 2: 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.
Lab: Get started with prompt flow

Module 3: Build a RAG-based copilot solution with your own data using Azure AI Studio
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
Lab: Create a custom copilot that uses your own data

Module 4: Responsible generative AI in 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
Lab: Explore content filters in Azure AI Studio
View outline in Word

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Attend hands-on, instructor-led AI-3016: Develop Copilots with Azure AI Studio training classes at ONLC's more than 300 locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of Courses and select the one that's right for you.