AI-102 LAB: Build & Train a Custom Model with Azure AI Vision | Step-by-Step Guide
In this AI-102 hands-on lab, we walk through the process of creating, training, and deploying a custom AI vision model using Azure AI Vision. This session is perfect for anyone preparing for the AI-102 certification or looking to integrate custom image recognition models into real-world applications.
🔍 What You’ll Learn in This Lab:
✅ Introduction to Azure AI Vision & Custom Vision Service
✅ How to Create a Custom Image Classification & Object Detection Model
✅ Uploading & Labeling Images for Model Training
✅ Training, Testing, and Evaluating Model Performance
✅ Deploying the Model & Integrating it with Applications
✅ Best Practices for AI-102 Certification & Real-World AI Solutions
🛠️ Who Should Watch This?
AI developers & data scientists working with computer vision
IT professionals & cloud engineers preparing for AI-102 certification
Students & researchers learning AI-powered image recognition
Business professionals & startups looking to integrate AI vision into applications
📌 Key Highlights:
✅ Step-by-step hands-on lab with practical implementation
✅ Live demo of training & deploying a custom vision model
✅ Best practices & troubleshooting tips for AI-102 exam
✅ Real-world use cases of AI-powered vision model
🔗 Watch Next
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💡 Learn to build & deploy custom AI vision models with Azure today!
🔗 Additional Resources:
👉 AI-102 Exam Guide: https://learn.microsoft.com/en-us/tra...
Chapters:
00:00 ⏩ Introduction
00:42 ⏩ Create custom model training project
06:04 ⏩ Create a new datasets in resource
08:28 ⏩ Train a new model
11:15 ⏩ Test your custom model