What you’ll learn
After completing this course, students will be able to:
Describe core features and capabilities of Azure AI Foundry
Use Azure AI Foundry to provision and manage an Azure AI resource
Use Azure AI Foundry to create and manage an AI project
Select a language model from the model catalog
Deploy a model to an endpoint
Test a model and improve the performance of the model
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
Understand model benchmarks.
Perform manual evaluations
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 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 Foundry
Explore and deploy models from the model catalog in Azure AI Foundry portal
Get started with prompt flow to develop language model apps in the Azure AI Foundry
Build a RAG-based agent with your own data using Azure AI Foundry
Fine-tune a language model with Azure AI Foundry
Evaluate the performance of generative AI apps with Azure AI Foundry
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.
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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.