👨‍🏫 Instructor-Led Training

AI-3016: Develop Generative AI Apps in Azure AI Foundry Portal

Course Code: AI-3016
Duration: 1 Day
Level: Intermediate
Category: AI and Machine Learning

Course Overview

Build and Launch Real-World Generative AI Solutions with Azure AI Studio

Unlock the power of generative AI with Microsoft's cutting-edge Azure AI Foundry Portal. This hands-on course teaches you how to design, build, and deploy intelligent applications using GPT-4, Prompt Flow, Retrieval-Augmented Generation (RAG), fine-tuning, and automated evaluation—all within the Azure AI Studio ecosystem.

What You’ll Learn

  • Navigate Azure AI Studio: Learn how to create and manage AI projects, model deployments, and prompt workflows in a secure enterprise-ready environment.

  • Deploy State-of-the-Art Models: Discover how to work with powerful foundation models like GPT-4, Llama 2, and Phi-2, and deploy them within your own Azure subscription.

  • Use Your Own Data (RAG): Enhance AI responses using your private data with Retrieval-Augmented Generation and data connectors.

  • Fine-Tune and Evaluate: Train your own variants of foundation models and compare their performance using Azure AI Studio’s built-in evaluation tools.

  • Ensure Responsible AI: Explore content filtering, safety policies, and model monitoring using Microsoft’s built-in responsible AI tools.

  • Accelerate with Prompt Flow: Build multi-step generative AI apps that combine prompts, tools, and logic using Prompt Flow visual pipelines.

Who Should Take This Course

  • Developers and AI engineers ready to bring generative AI into production

  • Data scientists interested in deploying and customizing foundation models

  • Technical managers evaluating Microsoft's AI stack for their organizations

  • Teams seeking a secure, scalable, and cost-effective way to integrate LLMs

Course Format

  • 100% hands-on with step-by-step labs in your own Azure environment

  • Taught by a live ASI Expert

  • Includes lab exercises on model deployment, prompt engineering, fine-tuning, data integration, and evaluation

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