ML Project Architecture Tutorial | scalable & Clean Code

Deploying ML on Cloud isn’t just about code, it’s about writing the right code in the right place.

📌 In this session, you’ll learn how to:
✅ Apply clean architecture to ML workflows
✅ Organise projects with proper folder/file structure
✅ Write modular, testable & scalable code
✅ Get deployment-ready with Docker, APIs & CI/CD

Why it matters?
🔹 Scalable 🔹 Easy to debug 🔹 Production-ready 🔹 Team-friendly

🎓 Level up with the Postgraduate Program in Data Science & Analytics (PGA)
6 months | 100% Job Assurance | 2000+ Hiring Partners | 25+ Projects