Data, Analytics & AI Category Banner Image

Microsoft AI-3016 - Develop Copilots with Azure AI Studio

  • Length 1 day
Course overview
View dates &
book now
Course locations >>

Why study this course

Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom Copilots that use language models and prompt flow to provide value to your users.

This one-day course prepares you for an Applied Skills credential.
For more than 30 years, Microsoft's industry-recognised certifications have provided proof of world-class technical proficiency for in-demand job roles. In today’s ever-changing business environment, there are also times when you need verified project-specific skills. Microsoft Applied Skills is a new verifiable credential that validates that you have the targeted skills needed to implement critical projects aligned to business goals and objectives. Applied Skills gives you a new opportunity to put your skills centre-stage, empowering you to showcase what you can do and what you can bring to key projects in your organisation.

Request Course Information


What you’ll learn

After completing this course, students will be able to:

  • 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 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 prioritise potential harms relevant to a generative AI solution

  • Mitigate harms in a generative AI solution

  • Prepare to deploy and operate a generative AI solution responsibly


Microsoft Solutions Partner - Cloud - Training Services Logo

Microsoft Azure at Lumify Work

Lumify Work has been delivering effective training across all Microsoft products for over 30 years. We are proud to be both Australia's and New Zealand’s first Microsoft Gold Learning Solutions Partner and the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers (MCTs) in ANZ. All Lumify Work Microsoft Azure courses follow Microsoft Official Curriculum (MOC) and are led by MCTs.


Who is the course for?

This course is designed for data scientists and AI engineers with existing knowledge of generative AI models and Python who want to create, customise, and deploy their own Copilots.


Course subjects

  • Introduction to Azure AI Studio.

  • Explore and deploy models from the model catalog in Azure AI Studio

  • Get started with prompt flow to develop language model apps in the Azure AI Studio

  • Build a RAG-based copilot solution with your own data using Azure AI Studio

  • Integrate a fine-tuned language model with your copilot in the Azure AI Studio

  • Evaluate the performance of your custom copilot in the Azure AI Studio

  • Responsible generative AI


Prerequisites

You should be familiar with fundamental AI concepts and services in Azure. Consider completing the Microsoft Azure AI Fundamentals course first.


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


Request Course Information

Awaiting course schedule

If you would like to receive a notification when this course becomes available, enter your details below.

Personalise your schedule with Lumify USchedule

Interested in a course that we have not yet scheduled? Get in touch, and ask for your preferred date and time. We can work together to make it happen.



Loading