hands-on lab

Explore the Components and Tools of the Azure AI Foundry

Difficulty: Beginner
Duration: Up to 40 minutes
Students: 34
On average, students complete this lab in20m
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.

Description

Azure AI Foundry is a comprehensive web portal that consolidates a range of Azure AI services into a unified development environment. With Azure AI Foundry, you can achieve the following tasks:

  • Deploy models from the model catalog to real-time inferencing endpoints for client application utilization.
  • Deploy and test generative AI models using the Azure OpenAI service.
  • Integrate data from custom sources to support a retrieval-augmented generation (RAG) approach for prompt engineering in generative AI models.
  • Utilize prompt flow to define workflows that integrate models, prompts, and custom processing.
  • Implement content safety filters within a generative AI solution to mitigate potential risks.
  • Enhance a generative AI solution by incorporating multiple AI capabilities through Azure AI services.

Learning objectives

Upon completion of this intermediate-level lab, you will be able to:

  • Create an Azure AI hub and AI projects
  • Understand the different AI models and prompt flows
  • Fine-tuning the existing models and understanding the content filters

Intended audience

  • Software Engineers
  • AI Engineer
  • Cloud Architects
  • DevOps Engineers


Prerequisites

Familiarity with the following will be beneficial but is not required:

  • Azure AI Services

Covered topics

Hands-on Lab UUID

Lab steps

0 of 2 steps completed.Use arrow keys to navigate between steps. Press Enter to go to a step if available.
  1. Logging in to the Microsoft Azure Portal
  2. Analyse the Key Components and Tools Featured in Azure AI Foundry