Building a Production-Ready MLOps Pipeline: From ML Model to API Deployment
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About Event
Most Machine Learning projects stop after building the model.
But what happens next?
In this hands-on workshop, we will build a complete production-ready MLOps pipeline using a real project and explore what it takes to move from training an ML model to deploying it as an API.
Together, we will work through:
• Building and structuring a real ML project
• Experiment tracking with MLflow
• Containerizing applications with Docker
• Serving models using FastAPI
• Understanding how production ML systems are built
This session is designed to be practical, beginner-friendly, and focused on real-world workflows rather than theory alone.
If you have ever built an ML model and wondered, “What next?” — this workshop is for you.
Come ready to build