40 CLI v2 Commands to Deploy ML Models! The Azure Hack Nobody Talks About

🚀 The FASTEST way to deploy ML models on Azure that even senior engineers don't know about! Stop watching 30-minute tutorials - I'll show you the 2-command hack that actually works.

💎 THE SAUCE:
Just 2 commands. No fluff. No complexity. Pure deployment magic.

⚡️ SPEED RUN:
00:00 - Intro
2:50 - Create endpoint
08:40 - deployment
25:15 - Deploy Live traffice
32:00 - Delete the deployment


🔥 THE COMMANDS:
az ml online-endpoint create `
--file ./deploy/endpoint.yml `
--resource-group rg_demo03 `
--workspace-name ws_demo_pipeline03

az ml online-deployment create `
--file ./deploy/deployment.yml `
--resource-group rg_demo03 `
--workspace-name ws_demo_pipeline03

az ml online-deployment delete `
--name blue `
--endpoint-name fruit-endpoint `
--resource-group rg_demo03 `
--workspace-name ws_demo_pipeline03 `
--yes


That's it. Seriously.

🎁 BONUS:
I show you exactly how to fix the most common errors that'll save you hours of debugging!

❌ What this is NOT:
Not a boring Azure tutorial
Not theoretical ML talk

✅ What this IS:
Quick deployment hack
Real working example
Production-ready setup


More Azure Learning Resources:
Code: [https://github.com/DeepKnowledge1/azu...]

Azure Machine Learning (DP-100) Playlist: [   • Azure ML : Python, MLOps &CI/CD  ]
Azure DevOps Playlist: [   • Azure DevOps for Python Devs  ]

Follow Me for More Content:
Medium: [  / deepp.knowledge  ]


⭐️ LEVEL UP your ML game! Hit subscribe for more Azure hacks that actually work in real life!

⚔️ STACK USED:
Azure ML
Python
LightGBM
MLflow

💡 Pro Tip: Save this video - you'll thank me later when you need to deploy fast!

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