This course runs for a duration of 1 Day.
The class will run daily from 8 AM CT to 4 PM CT.
Class Location: Virtual LIVE Instructor Led - Virtual Live Classroom.
Course Overview
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.
1 - Plan and Prepare to Develop AI Solutions on Azure
What is AI?
Foundry Tools
Microsoft Foundry
Developer Tools and SDKs
Responsible AI
Module Assessment
2 - Choose and Deploy Models from the Model Catalog in Microsoft Foundry Portal
Explore the Model Catalog
Deploy a Model to an Endpoint
Optimize Model Performance
Module Assessment
3 - Develop an AI App with the Microsoft Foundry SDK
What is the Microsoft Foundry SDK?
Work with Project Connections
Create a Chat Client
Module Assessment
4 - Get Started with Prompt Flow to Develop Language Model Apps in Microsoft Foundry
Understand the Development Lifecycle of a Large Language Model (LLM) App
Understand Core Components and Explore Flow Types
Explore Connections and Runtimes
Explore Variants and Monitoring Options
Module Assessment
5 - Develop a RAG-Based Solution with Your Own Data Using Microsoft Foundry
Understand How to Ground Your Language Model
Make Your Data Searchable
Create a RAG-Based Client Application
Implement RAG in a Prompt Flow
Module Assessment
6 - Fine-Tune a Language Model with Microsoft Foundry
Understand When to Fine-Tune a Language Model
Prepare Your Data to Fine-Tune a Chat Completion Model
Explore Fine-Tuning Language Models in Microsoft Foundry Portal
Module Assessment
7 - Implement a Responsible Generative AI Solution in Microsoft Foundry
Plan a Responsible Generative AI Solution
Map Potential Harms
Measure Potential Harms
Mitigate Potential Harms
Manage a Responsible Generative AI Solution
Module Assessment
8 - Evaluate Generative AI Performance in Microsoft Foundry Portal
Assess the Model Performance
Manually Evaluate the Performance of a Model
Automated Evaluations
Module Assessment
Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.
