Machine Learning System Architecture and Why it Matters | Deployment of Machine Learning Models

Описание: 🎯 Before you deploy your machine learning models, watch this.

In this video, we take a crucial step back from code to understand machine learning system architecture. The foundation that makes your models scalable, reliable, and maintainable in production.

You’ll learn:
✅ What makes up a machine learning system — from infrastructure to applications and data pipelines
✅ Why architecture matters (and how skipping this step leads to technical debt)
✅ The key principles behind designing and deploying ML systems that last
✅ What to expect in the next lectures: challenges, best practices, and design options for real-world ML deployment

If you’ve ever trained a model and wondered, “What happens next?”, this section will give you the roadmap to take your projects from experiment to production.

📘 Next up: The challenges of machine learning systems and why maintaining them is harder than building them.

To master model deployment and MLOps, check out our courses at https://www.trainindata.com/courses.

Link to presentations: https://www.trainindata.com/l/digital...

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