AI-3016: Develop generative AI apps in Azure AI Foundry portal Training

This course majorly focuses on empowering learners to deploy, design, and optimize generative AI applications with the help of Azure’s cutting-edge AI Foundry Portal.

📘 Copilot 👥 1475 Enrolled ⏱️ 1 Day 💼 Intermediate Level ⭐ 4.9 | 113 Reviews

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Course Overview

This course majorly focuses on empowering learners to deploy, design, and optimize generative AI applications with the help of Azure’s cutting-edge AI Foundry Portal. After completing this course, learners will be able to build generative AI applications such as custom copilots, that are experts in using language models and prompt flow. This directly serves customized solutions to users.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

Upcoming Schedules

Start Date	Time	Duration	Mode	Price
Nov 12, 2025	9:00 am - 5:00 pm EST	1 Day	online	$654	GTR
Nov 26, 2025	9:00 am - 5:00 pm EST	1 Day	online	$654	GTR
Dec 10, 2025	9:00 am - 5:00 pm EST	1 Day	online	$654	GTR
Dec 24, 2025	9:00 am - 5:00 pm EST	1 Day	online	$654	GTR

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What you will learn

Understand the core features and capabilities of Azure AI Foundry.
Provision and manage AI resources using Azure AI Foundry.
Deploy and optimize language models from the model catalog.
Develop AI applications using prompt flow in Azure AI Foundry.
Build RAG-based agents grounded with your own data.
Fine-tune language models to meet specific application needs.
Evaluate generative AI applications using benchmarks and metrics.
Design and deploy responsible generative AI solutions effectively.

Who Should Attend This Course?

Data Scientist
AI Engineer

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📘 AI-3016: Develop generative AI apps in Azure AI Foundry portal Outline

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
Understand when to use Azure AI Foundry
Lab: Explore the Azure AI Foundry portal

Select a language model from the model catalog.
Deploy a model to an endpoint.
Test a model and improve the performance of the model.
Lab: Explore, deploy, and chat with language models

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

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
Lab: Create a custom agent that uses your own data

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.
Lab: Fine-tune a foundation model

Understand model benchmarks.
Perform manual evaluations.
Assess your generative AI apps with AI-assisted metrics.
Configure evaluation flows in the Azure AI Foundry portal.
Lab: Evaluate the performance of your generative AI app

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

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✓ Practice Tests
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✓ Interactive Online Courses
✓ Peer Collaboration (Not in self-paced)

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