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[ DevCourseWeb com ] Udemy - MLOps Simplified
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Get Bonus Downloads Here.url (Size: 570.67 MB) (Files: 28)
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1. Welcome
1. Syllabus.html
2. Introduction to MLOps
1. Introduction to MLOps and its importance in the machine learning lifecycle.html
2. Overview of the machine learning lifecycle and the role of MLOps in each stage.html
3. MLOps Overview.mp4
3. MLOps Overview.srt
4. AIOps vs. MLOps What's the Difference.mp4
4. AIOps vs. MLOps What's the Difference.srt
5. Running a Kubeflow pipeline in less than 3 minutes.mp4
5. Running a Kubeflow pipeline in less than 3 minutes.srt
3. Model Deployment
1. Introduction to model deployment.html
2. Techniques for deploying machine learning models in production.html
3. Hands-on deployment using various MLOps tools and frameworks.html
4. Model Monitoring and Management
1. Introduction to model monitoring and management.html
2. Techniques for monitoring and managing machine learning models in production.html
3. Hands-on monitoring and management using various MLOps tools and frameworks.html
5. DevOps and MLOps Integration
1. Introduction to DevOps and its importance in MLOps.html
2. Techniques for integrating DevOps and MLOps practices.html
3. Hands-on integration using various MLOps tools and frameworks.html
6. MLOps Best Practices
1. Introduction to best practices for MLOps.html
2. Implementing version control, testing, and documentation in MLOps.html
3. Hands-on implementation using various MLOps tools and frameworks.html
7. Capstone Project
1. Applying the skills and knowledge learned in the course.html
2. Extra material.mp4
2. Extra material.srt
3. MLOps specialized DevOps for Machine Learning - Stefan Nica.mp4
3. MLOps specialized DevOps for Machine Learning - Stefan Nica.srt
Bonus Resources.txt
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