Welcome to this hands-on AI-900 lab session, where we dive deep into fine-tuning GPT models using Azure AI Foundry! Fine-tuning allows developers to customize AI models for specific industries, use cases, and data sets, improving response accuracy and relevance. Whether you're preparing for the Microsoft AI-900 Certification or working on AI-driven applications, this tutorial will provide a step-by-step walkthrough of fine-tuning GPT models in Azure.<br /><br />🔍 What You’ll Learn in This Video:<br />1️⃣ Introduction to Fine-Tuning GPT Models in Azure AI Foundry<br />2️⃣ Why Fine-Tuning is Essential for Custom AI Applications<br />3️⃣ Setting Up Azure AI Foundry for GPT Model Fine-Tuning<br />4️⃣ Uploading & Preparing Training Data for Customization<br />5️⃣ Training and Deploying a Fine-Tuned GPT Model<br />6️⃣ Testing & Optimizing Model Performance for Real-World Use Cases<br /><br />🛠️ Who Is This For?<br />AI & ML Enthusiasts exploring custom AI solutions<br />Developers & data scientists working on AI-powered applications<br />Professionals preparing for the Microsoft AI-900 Certification<br />Businesses looking to customize AI for customer support, automation, & NLP<br /><br />📌 Key Highlights:<br />✅ Hands-on demo of GPT fine-tuning in Azure AI Foundry<br />✅ Customizing AI models for industry-specific applications<br />✅ Training and deploying AI models with real-world datasets<br />✅ Optimizing GPT models for better accuracy & efficiency<br /><br /> Explore Our Other Azure Courses Practice Material on: https://www.youtube.com/@skilltechclub
