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MLOps: Machine Learning Operations with Python

by Soledad Galli · Udemy

4.5
(5,500 reviews)
35K+ enrolled14 hoursUpdated 2024-12

What You'll Learn

Understand the fundamentals and key concepts of MLOps
Apply MLOps techniques to solve real-world problems
Understand the fundamentals and key concepts of ML pipelines
Apply ML pipelines techniques to solve real-world problems
Understand the fundamentals and key concepts of model deployment
Apply model deployment techniques to solve real-world problems

About This Course

Implement ML pipelines with experiment tracking, model registry, CI/CD, monitoring, and feature stores using MLflow and Airflow.

Curriculum

Module 1: MLOps & ML pipelines
6 lessons
  • Introduction to MLOps
  • MLOps in Practice
  • Hands-on Exercise: MLOps
  • Introduction to ML pipelines
  • ML pipelines in Practice
  • Hands-on Exercise: ML pipelines
Module 2: Model deployment & Monitoring
6 lessons
  • Introduction to model deployment
  • Model deployment in Practice
  • Hands-on Exercise: Model deployment
  • Introduction to monitoring
  • Monitoring in Practice
  • Hands-on Exercise: Monitoring
Module 3: Python
3 lessons
  • Introduction to Python
  • Python in Practice
  • Hands-on Exercise: Python

Instructor

Soledad Galli

Instructor at Udemy

4.5rating
35K+ students

Pros & Cons

Pros

  • Offers a certificate of completion
  • High-quality video lectures
  • Taught by Soledad Galli
  • Well-structured curriculum

Cons

  • Requires paid subscription
  • Requires significant prior knowledge
  • Self-paced requires discipline