What Is MLOps | Introduction to MLOps | MLOps | DevOps Tutorial For Beginners | Intellipaat
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Welcome to our YouTube channel! In this video on What is MLOps, we will be exploring the exciting field of MLOps - the intersection of machine learning and DevOps. If you're curious about how machine learning models are deployed, monitored, and maintained in production, this video is perfect for you.
MLOps, short for Machine Learning Operations, is a set of practices and techniques that enable the seamless integration of machine learning models into the software development and deployment lifecycle. It aims to bridge the gap between data scientists, who create machine learning models, and operations teams, who manage production environments, ensuring that machine learning models are reliable, scalable, and maintainable in real-world applications.
Whether you are a data scientist, machine learning engineer, software developer, or simply interested in understanding the cutting-edge field of MLOps, this video will provide you with valuable insights. Don't forget to like, comment, and subscribe to our channel for more informative content on MLOps and other related topics. Let's explore the world of MLOps together!
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🔵 Following topics are covered in this session:
0:00 - Introduction
1:08 - What is MLOps?
2:12 - MLOps Workflow
4:04 - MLOps Tools & Technologies
6:30 - Benefits of MLOps
8:34 - Challenges in Implementing MLOps
10:56 - MLOps Best Practices
12:58 - Conclusion
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