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In this AI-102 hands-on lab, learn how to enhance Azure OpenAI models with your own data to create more relevant, personalized, and domain-specific AI applications. We’ll guide you through integrating custom datasets, fine-tuning GPT models, and deploying AI solutions that generate context-aware responses for your specific business needs. Whether you’re preparing for the AI-102 certification or looking to build custom AI solutions, this tutorial will equip you with essential skills! 🔍 What You’ll Learn in This Lab: ✅ Introduction to Using Custom Data with Azure OpenAI ✅ How to Connect & Ingest Your Own Data into OpenAI Models ✅ Enhancing GPT Responses with Domain-Specific Knowledge ✅ Deploying AI-Powered Apps with Custom Data Integration ✅ Hands-on Demo: Querying & Generating AI Responses Using Custom Data ✅ Best Practices for AI-102 Certification & AI Model Optimization 🛠️ Who Should Watch This? AI developers & engineers building data-driven AI applications IT professionals preparing for the AI-102 certification Data scientists & researchers working on custom AI model training Businesses & enterprises integrating Azure OpenAI with private datasets 📌 Key Highlights: ✅ Step-by-step, hands-on lab with real-world examples ✅ Use cases: AI-powered chatbots, enterprise search, knowledge retrieval ✅ Techniques to improve AI-generated responses with your own data ✅ AI-102 exam preparation tips & deployment strategies 💡 Master Custom Data Integration with Azure Open AI & Elevate Your AI Solutions! 🔗 Additional Resources: 👉 AI-102 Exam Guide: https://learn.microsoft.com/en-us/tra... 👍 Like, Share & Subscribe for more Azure AI learning & AI-102 certification prep! 🔔 Chapters: 00:00 ⏩ Login Azure Portal 01:15 ⏩ Provision an Azure OpenAI resource 02:55 ⏩ Create a search service 08:00 ⏩ Upload your data 10:10 ⏩ Deploy AI models 12:34 ⏩ Create an index 16:28 ⏩ Prepare to develop an app in visual studio code 18:28 ⏩ Configure your application 22:47 ⏩ Run your application