?What are the key benefits of implementing MLOps techniques in a machine learning project

MLOps techniques streamline model deployment, enhance collaboration, and improve model reliability, leading to faster innovation and reduced operational risks.

?How does model versioning contribute to effective MLOps practices

Model versioning helps track changes, compare model performance, and revert to previous versions if needed, ensuring model stability and reproducibility in MLOps workflows.

MLOps Techniques for Machine Learning Tutorial

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Lessons | 3

01:13:04

Introduction MLOps | 360DigiTMG

02:30:28

Kubernetes for Machine Learning | 360DigiTMG

02:48:59

MLFlow for End to End Implementation of Machine Learning | 360DigiTMG

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4.2

12 Reviews

Rabbani A

Very useful 2025-04-07

Kalaivani K

THIS IS USEFUL COURSE FOR ME 2025-04-07

Sithik Ranjan V R

It's amazing and easy to understand. 2025-04-07

AISHWARIA V 717823I103

Good course 2025-04-07

SHANGARANARAYANAN M 717823I251

GOOD COURSE 2025-04-07

Padma Priya S

Good 2025-04-07

Dharshana

This course was very useful 2025-04-06

HareHaran

GOOD 2025-04-06

VISHVAPRASATH P 717823I162

this course was really usefull for ml operation 2025-04-06

Selvล мลthลn

good 2025-04-05

Nandhini N

Good 2025-04-05

JANANI P 717823I213

the course was so helpful and i can learn many important things about it. 2025-04-04

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Introduction MLOps | 360DigiTMG

Kubernetes for Machine Learning | 360DigiTMG

MLFlow for End to End Implementation of Machine Learning | 360DigiTMG

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