AI Deployment & MLOps

Course Overview

Building AI models is only one part of the modern AI ecosystem. Real-world value comes from deploying, managing, scaling, monitoring, and maintaining AI systems in production environments. This practical CRIBI Academy course introduces participants to AI deployment pipelines, APIs, cloud infrastructure, model serving, and modern MLOps workflows. Participants will gain hands-on exposure to deploying AI applications using Flask, FastAPI, Docker, cloud platforms, APIs, and production-oriented workflows. The course bridges the gap between AI experimentation and real-world operational systems, helping participants understand how modern AI products are built, deployed, monitored, and maintained. The training also introduces practical concepts in scalable AI architecture, deployment automation, inference systems, monitoring, infrastructure thinking, and production readiness. By the end of the course, participants will understand how to transition AI systems from development environments into usable products and operational services.