Скачать или смотреть MLOps Explained Fast — Tools, Code Workflow & Emerging Players

MLOps (Machine Learning Operations) is the backbone of deploying, scaling, and managing real-world AI systems.
In this video, we break down the core tools, coding workflows, and the niche MLOps platforms professionals are using today — in a clear, practical, and easy-to-understand way.

Whether you're a beginner or an ML engineer, this guide shows you how modern MLOps works from end to end.

🔥 In this video, you’ll learn:

What MLOps is and why it matters

The full ML lifecycle: data → training → deployment → monitoring

Essential MLOps tools (open-source + enterprise)

Real code workflows (CI/CD for ML, pipelines, orchestration)

Niche and emerging players you should know

How MLOps differs from DevOps

How to choose the right MLOps stack

Future trends in ML engineering

Perfect for developers, data scientists, ML engineers, and teams deploying AI at scale.#ai #ArtificialIntelligence #MachineLearning #AITools #AIUpdates #ChatGPT #OpenAI #TechNews #AITrends2025 #FutureOfAI AI Disclosure: The narration and video visuals were generated or assisted by a Large Language Model and synthetic media tools