MLflow Crash Course - Model Registry and Model Deployment

Learn from the DagsHub professionals what MLflow is and why it should be part of your MLOps tool kit. Gain hands-on experience using it to track experiments, register models, and deploy them to AWS.

In this session, Yono covers the following topics:
1. Model Registry - How to log and manage your machine learning models with MLflow.
2. Model Deployment - How to deploy your machine learning model to a cloud provider.
3. Hands-on experience deploying your trained model from the MLflow registry to AWS.


📚 Additional Materials:
The Colab Notebook: https://colab.research.google.com/dri...
The Mario vs. Wario project that we used for the demo - https://dagshub.com/nirbarazida/mario...


Time-stamps
00:00 - Meet & Great
02:23 - Intro + Signup
05:57 - Recap of MLflow 101 Webinar
07:53 - Agenda
09:09 - Model Registry
15:50 - Model Deployment
19:10 - Hands-on experience - setup
27:03 - Hands-on experience - Model Registry
50:38 - Hands-on experience - Model Deployment

If you want to hear more about what we are doing at DagsHub, here are some interesting links for you:
🌐 Our Website: https://dagshub.com
📖 Our Blog: https://dagshub.com/blog/

🥰 We welcome you to join our community on Discord:   / discord  

Social Links:
🔗 LinkedIn:   / dagshub  
🐥 Twitter:   / therealdagshub  

DAGs out 🤙🏼