Course Briefing
Introduction to ML Deployment
🚀COURSE OVERVIEW
Serving trained models as APIs. FastAPI, model serialisation, versioning, and keeping models alive in production. This crash course is structured to provide an architectural understanding from setup to production deployment.
🎯WHAT YOU WILL LEARN
- • Core principles and architecture of ML Deployment
- • Best practices, design patterns, and common pitfalls
- • Interactive sandboxed verification and command-line execution
⚡LEARNING PHILOSOPHY
This crash course is designed for rapid architectural understanding. You will not find endless video tutorials here. Instead, you will read the core theory, analyze real-world engineering patterns, and immediately execute your knowledge in the terminal.