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Kubernetes and MLOps for Machine Learning

Track :

Artificial Intelligence

Lessons no : 28

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Master container orchestration using Kubernetes for scalable machine learning deployment and management
  • Implement MLOps pipelines to automate model training, testing, and deployment processes effectively
  • Utilize Kubernetes features like Helm, ConfigMaps, and Secrets for secure and efficient ML model operations
  • Apply best practices for monitoring, logging, and troubleshooting ML models in Kubernetes environments
  • Design CI/CD workflows tailored for machine learning models using Kubernetes and MLOps tools
  • Optimize resource allocation and scaling strategies for machine learning workloads on Kubernetes
  • Integrate Kubernetes with popular MLOps platforms for seamless model versioning and lifecycle management
  • Ensure compliance, security, and governance in deploying machine learning models with Kubernetes and MLOps
  • Leverage Kubernetes operators and custom resources to automate ML model deployment and updates
  • Develop robust, scalable, and reproducible machine learning workflows using Kubernetes and MLOps principles

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 28
Introduction to MLOps | Part 1 | 360DigiTMG
00:05:31

Introduction to MLOps | Part 1 | 360DigiTMG
Introduction to MLOps | Part 2 | 360DigiTMG
00:27:13

Introduction to MLOps | Part 2 | 360DigiTMG
Introduction to MLOps | Part 3 | 360DigiTMG
00:11:54

Introduction to MLOps | Part 3 | 360DigiTMG
Introduction to MLOps | Part 4 | 360DigiTMG
00:08:19

Introduction to MLOps | Part 4 | 360DigiTMG
Introduction to MLOps | Part 5 | 360DigiTMG
00:13:16

Introduction to MLOps | Part 5 | 360DigiTMG
Introduction to MLOps | Part 6 | 360DigiTMG
00:09:00

Introduction to MLOps | Part 6 | 360DigiTMG
Kubernetes for Machine Learning | Part 7 | 360DigiTMG
00:31:28

Kubernetes for Machine Learning | Part 7 | 360DigiTMG
Kubernetes for Machine Learning | Part 8 | 360DigiTMG
00:13:34

Kubernetes for Machine Learning | Part 8 | 360DigiTMG
Kubernetes for Machine Learning | Part 9 | 360DigiTMG
00:26:40

Kubernetes for Machine Learning | Part 9 | 360DigiTMG
Kubernetes for Machine Learning | Part 10 | 360DigiTMG
00:03:56

Kubernetes for Machine Learning | Part 10 | 360DigiTMG
Kubernetes for Machine Learning | Part 11 | 360DigiTMG
00:04:11

Kubernetes for Machine Learning | Part 11 | 360DigiTMG
Kubernetes for Machine Learning | Part 12 | 360DigiTMG
00:02:05

Kubernetes for Machine Learning | Part 12 | 360DigiTMG
Kubernetes for Machine Learning | Part 13 | 360DigiTMG
00:02:05

Kubernetes for Machine Learning | Part 13 | 360DigiTMG
Kubernetes for Machine Learning | Part 14 | 360DigiTMG
00:06:05

Kubernetes for Machine Learning | Part 14 | 360DigiTMG
Kubernetes for Machine Learning | Part 15 | 360DigiTMG
01:03:47

Kubernetes for Machine Learning | Part 15 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 16 | 360DigiTMG
00:12:57

MLFlow for End to End Implementation of Machine Learning | Part 16 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 17 | 360DigiTMG
00:07:56

MLFlow for End to End Implementation of Machine Learning | Part 17 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 18 | 360DigiTMG
00:02:10

MLFlow for End to End Implementation of Machine Learning | Part 18 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 19 | 360DigiTMG
00:06:12

MLFlow for End to End Implementation of Machine Learning | Part 19 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 20 | 360DigiTMG
00:05:34

MLFlow for End to End Implementation of Machine Learning | Part 20 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 21 | 360DigiTMG
00:10:38

MLFlow for End to End Implementation of Machine Learning | Part 21 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 22 | 360DigiTMG
00:10:40

MLFlow for End to End Implementation of Machine Learning | Part 22 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 23 | 360DigiTMG
00:03:21

MLFlow for End to End Implementation of Machine Learning | Part 23 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 24 | 360DigiTMG
00:08:16

MLFlow for End to End Implementation of Machine Learning | Part 24 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 25 | 360DigiTMG
00:20:36

MLFlow for End to End Implementation of Machine Learning | Part 25 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 26 | 360DigiTMG
00:19:26

MLFlow for End to End Implementation of Machine Learning | Part 26 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 27 | 360DigiTMG
00:21:01

MLFlow for End to End Implementation of Machine Learning | Part 27 | 360DigiTMG
MLFlow for End to End Implementation of Machine Learning | Part 28 | 360DigiTMG
00:20:18

MLFlow for End to End Implementation of Machine Learning | Part 28 | 360DigiTMG


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VISHVAPRASATH P 717823I162 

this course is very useful for using kubernates
2025-04-07

SUGANTHARAJ T 717823I158 

good video and materials
2025-04-06

SREE NITHYA K J 

Good
2025-04-06

ajiboye ebenezer 

The course is comprehensive
2025-03-29

Sriram Rajasekar 

good
2025-02-01

VARUN PITTALA 

good
2024-12-17

IBRAHIM KHAN 

very good
2024-09-14

Jeevilin 

nice
2024-02-21

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Kubernetes and MLOps course, In this course we explore Kubernetes and MLOps, empowering efficient machine learning model deployment and management.