What is MLOps? | 5 Key Principles for Production-Ready AI Systems (Explained Simply) скачать в хорошем качестве

What is MLOps? | 5 Key Principles for Production-Ready AI Systems (Explained Simply)

What is MLOps and why is it critical for building real-world AI systems? In this video, we break down MLOps (Machine Learning Operations) in a simple and practical way. You’ll learn the 5 key principles that make AI systems production-ready — including versioning, monitoring, automation, reproducibility, and governance. We also explain how MLOps differs from traditional DevOps and why managing data + models is very different from managing just code. If you're an AI Engineer, Data Scientist, ML Engineer, or preparing for ML System Design interviews, this video will help you understand how modern AI systems are built, deployed, and maintained at scale. 🔥 Topics Covered: What is MLOps? Why MLOps is important Core components: Versioning, Monitoring, Automation CI/CD for ML MLOps vs DevOps Production AI lifecycle Model drift & retraining Perfect for: ✔ Beginners in AI ✔ Software Engineers moving into ML ✔ DevOps Engineers learning AI infrastructure ✔ Interview preparation Subscribe for more AI System Design, GenAI, and MLOps content 🚀