Systems Design Crash Course for ML Engineers

In big tech companies, launching ML models is complex. Every ML model you launch will be interlaced with multiple complex systems. In practice, you will need to understand that there is no free lunch and different ML solutions need to adapt to the complexity of the system in mind. This means, you need fundamental systems design understanding to help you implement a proper ML Ops practice. Understanding systems design and ML Ops best practices will immensely help you reduce technical debt and launch your model scalably.