Microsoft AI-3016 - Develop Generative AI Apps in Azure

What you’ll learn

After completing this course, students will be able to:

• Describe Azure AI Services and considerations for using them

• Describe Azure AI Foundry and considerations for using it

• Identify appropriate developer tools and SDKs for an AI project

• Describe considerations for responsible AI

• Select a language model from the model catalog

• Deploy a model to an endpoint

• Test a model and improve the performance of the model

• Describe capabilities of the Azure AI Foundry SDK

• Use the Azure AI Foundry SDK to work with connections in projects

• Use the Azure AI Foundry SDK to develop an AI chat app

• 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 an agent using RAG on your own data in the Azure AI Foundry portal

• Understand when to fine-tune a model

• Prepare your data to fine-tune a chat completion model

• Fine-tune a base model in the Azure AI Foundry portal

• Describe an overall process for responsible generative AI solution development

• Identify and prioritise 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

• Understand model benchmarks

• Perform manual evaluations

• Assess your generative AI apps with AI-assisted metrics

• Configure evaluation flows in the Azure AI Foundry portal

Microsoft Azure at Lumify Work

As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand. We have a campus in the Philippines, too. We offer the broadest range of instructor-led training courses, from end user to architect level.  We are proud to be the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers in ANZ. 

View all Microsoft Azure at Lumify Work courses

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.

Prerequisites

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

• You should also be proficient in programming with Python or Microsoft C#.

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.