🧠 In this hands-on tutorial, you’ll learn how to train a computer vision model on Databricks using MLflow. We walk through fine-tuning a pre-trained ResNet model, tracking experiments, registering the model in Unity Catalog, and performing both batch and real-time inference. This is part 5 of our end-to-end Databricks project for a smart insurance use case. 🔗 Connect With Me on LinkedIn: ⌛ Timestamps 0:00 – Intro 2:04 – Training the Model 12:27 – Batch & Real-Time Inference 16:57 – Outro