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  • 5 weeks ago
Training a machine learning model is just the startβ€”the real challenge is deploying it in production. In this Masterclass, learn how to build a production-ready inference pipeline that’s fast, scalable, and cloud-deployable.

πŸ“Œ What You’ll Learn:
βœ… What an inference pipeline is & why it matters
βœ… Structuring modular, reusable code with error handling & logging
βœ… Loading models with joblib, pickle, or ONNX
βœ… Running real-time predictions
βœ… Converting pipelines into REST APIs with Flask/FastAPI
βœ… Deploying seamlessly on AWS, GCP, or Azure

Whether you’re deploying to a web app, API, or batch pipeline, this session bridges the gap between research and real-world applications.

πŸŽ“ Boost Your Career in Data Science & AI with Imarticus Learning

PGA in Data Science & Analytics (6 months, 100% job assurance)

EPGP in Data Science & AI (11 months, designed for professionals)
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