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Build a Supply Chain Inventory App with Python & Azure.
Udemy MOOC / Non-credit all levels

Build a Supply Chain Inventory App with Python & Azure.

About this course

INVENTORY APP · PYTHON · DASH · FLASK · MYSQL · AZURE · CLOUD DEPLOYMENT · SUPPLY CHAIN DEVOPS · CRON · REPLENISHMENT ALGORITHM · INVENTORIZE★ The Only Course on Udemy That Builds, Deploys, and Automates a Complete Inventory App in PythonSearch any online learning platform. You will find courses on inventory management. You will find courses on Python. You will find courses on Dash. You will not find another course that combines all three into one end-to-end project: building a production-grade inventory replenishment algorithm, wrapping it in a real-time Dash web application, connecting it to a MySQL database, scheduling it with Cron to run automatically, and deploying the entire system to Azure so it is accessible from any browser, anywhere. This course does all of that. It is genuinely one of a kind.★ Built by the Co-Founder of Keip — a SaaS Platform for Retail and Supply Chain ManagementHaytham is the co-founder of Keip — a software-as-a-service product built specifically for retail and supply chain management and analytics. Building a cloud-deployed supply chain application is not a theoretical exercise for him: it is his daily professional reality. The architecture, database design, algorithm structure, Dash layout patterns, Flask deployment approach, and Azure configuration in this course all reflect real decisions made building and maintaining a live SaaS product. You are learning from a software product founder, not a developer who added a DevOps module.★ A Real Client. A Real Algorithm. A Real Deployment — Mango Incorporation as Your First ProjectThis is a project-based course. Mango Incorporation is hiring you to optimise their stock replenishment and automate the process. You will investigate their data, design the algorithm, connect to a live database, build a web application that displays real-time inventory status, configure alarms, and deploy the entire

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