Udemy MLOps Simplified

Udemy MLOps Simplified
     Get Bonus Downloads Here.url -


     1. Syllabus.html -


     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 -


     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 -


     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 -


     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 -


     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 -


     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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