Udemy - MLOps Simplified

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Udemy - MLOps Simplified

Torrent Contents Size: 570.7 MB

Udemy - MLOps Simplified
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1. Applying the skills and knowledge learned in the course.html
HTML
2.4 KB
1. Introduction to DevOps and its importance in MLOps.html
HTML
2.7 KB
1. Introduction to MLOps and its importance in the machine learning lifecycle.html
HTML
2.6 KB
1. Introduction to best practices for MLOps.html
HTML
2.8 KB
1. Introduction to model deployment.html
HTML
2.2 KB
1. Introduction to model monitoring and management.html
HTML
3.2 KB
1. Syllabus.html
HTML
2.9 KB
2. Extra material.mp4
MP4
229.7 MB
2. Extra material.srt
SRT
31.8 KB
2. Implementing version control, testing, and documentation in MLOps.html
HTML
2.2 KB
2. Overview of the machine learning lifecycle and the role of MLOps in each stage.html
HTML
2.7 KB
2. Techniques for deploying machine learning models in production.html
HTML
2.2 KB
2. Techniques for integrating DevOps and MLOps practices.html
HTML
3.6 KB
2. Techniques for monitoring and managing machine learning models in production.html
HTML
3.8 KB
3. Hands-on deployment using various MLOps tools and frameworks.html
HTML
3.1 KB
3. Hands-on implementation using various MLOps tools and frameworks.html
HTML
3.9 KB
3. Hands-on integration using various MLOps tools and frameworks.html
HTML
3 KB
3. Hands-on monitoring and management using various MLOps tools and frameworks.html
HTML
4.3 KB
3. MLOps Overview.mp4
MP4
101.3 MB
3. MLOps Overview.srt
SRT
14.8 KB
3. MLOps specialized DevOps for Machine Learning - Stefan Nica.mp4
MP4
163.4 MB
3. MLOps specialized DevOps for Machine Learning - Stefan Nica.srt
SRT
27 KB
4. AIOps vs. MLOps What's the Difference.mp4
MP4
56.1 MB
4. AIOps vs. MLOps What's the Difference.srt
SRT
6 KB
5. Running a Kubeflow pipeline in less than 3 minutes.mp4
MP4
20 MB
5. Running a Kubeflow pipeline in less than 3 minutes.srt
SRT
0 B
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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