MLOps Course – Build Machine Learning Production Grade Projects

MLOps, short for Machine Learning Operations, refers to the practice of applying DevOps principles to machine learning. This MLOps course will guide you through an end-to-end MLOps project, covering everything from data ingestion to deployment, using state-of-the-art tools like ZenML, MLflow, and various MLOps libraries.

💻 Code: https://github.com/ayush714/mlops-projects-course/tree/main

✏️ Course created by @AyushSinghSh

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:28) MLOps Fundamentals (introduction to mlops)
⌨️ (0:32:54) Fundamentals of Zenml
⌨️ (0:45:31) Customer Satisfaction project
⌨️ (0:45:51) Dataset of Olist customer dataset
⌨️ (0:49:01) Installing necessary libraries
⌨️ (0:55:01) Creating blueprint of steps
⌨️ (1:08:06) Zenml Dashboard
⌨️ (1:13:46) Implementing steps
⌨️ (1:15:01) Working on data cleaning
⌨️ (1:33:41) Working on model development
⌨️ (1:41:09) Working on evaluation model
⌨️ (1:48:36) Run pipeline
⌨️ (1:54:28) Implementing experiment tracker
⌨️ (2:11:02) Deployment pipeline
⌨️ (2:58:08) Streamlit app

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

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