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Building Order & Inventory Management Systems - Python & AWS

Category: Tutorials


Building Order & Inventory Management Systems - Python & AWS
Free Download Building Order & Inventory Management Systems - Python & AWS
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 17m | Size: 1.48 GB
Master Inventory Logic with Python & AWS: Build a Serverless Order Management System (Python, AWS Lambda, DynamoDB)


What you'll learn
Design and Implement Business Logic: Master core inventory concepts such as "Logical Inventory" vs. "Available Inventory" (ATP), and implement "Reorder Point".
Build a Full Serverless API: Create a scalable REST API using AWS Lambda, API Gateway, and Amazon DynamoDB from scratch.
Object-Oriented Programming in Practice: Learn how to design robust Python classes (InventoryManager) to encapsulate complex business rules.
Test-Driven Development (TDD) Approach: Perform comprehensive testing, ranging from Python Unit Tests for business logic to Integration Tests using Postman.
Data Integrity & Event Processing: Understand how to manage data consistency in a distributed system and utilize DynamoDB Streams for tracking historical data.
Requirements
AWS Account: A valid AWS account is required (The Free Tier is sufficient for this course).
asic Python Knowledge: Understanding of basic syntax (variables, functions, dictionaries). No advanced Object-Oriented Programming (OOP) knowledge is required; we will cover class design in the course.
No Supply Chain Experience Needed: We will explain all necessary logistics and inventory management concepts from the ground up.
A computer with internet access.
Description
"I know how to use AWS services, but I don't know how to combine them into a usable business system..." "What kind of calculation logic do professionals actually use behind the scenes of an inventory management system?"If you have ever asked yourself these questions, this course is designed for you.This is not just another tutorial that explains how to click buttons in the AWS console. This is a hands-on practical course where you will step into the shoes of a backend engineer and build the core engine of an Order & Inventory Management System—the heart of any E-commerce or Warehouse Management System (WMS).Why this course? Many tutorials teach tools, but few teach Domain Knowledge. In this course, we bridge that gap. You will learn the essential logic used in the logistics industry, such as:The critical difference between "Logical Inventory" and "Allocated Inventory" (Available to Promise).How to calculate Safety Stock and Reorder Points (ROP) to prevent stockouts.You will implement these concepts using Python Classes, ensuring your code is clean, reusable, and robust. Then, you will deploy this logic onto a modern Serverless Architecture using AWS Lambda, Amazon DynamoDB, and API Gateway.【Course Agenda】Section 1: Introduction & System DesignWhy inventory management matters (preventing Opportunity Loss & Overstock).Designing a Serverless Architecture (API Gateway + Lambda + DynamoDB).[Hands-on] DynamoDB Table Design & Environment Setup.Section 2:[Unit Test 1] Inventory Movement LogicWhat is "Logical Inventory"?Creating the InventoryManager class in Python.[Hands-on] Unit testing for Inbound (Receiving) and Outbound (Shipping) using Lambda test events.Section 3:[Unit Test 2] Order & Allocation LogicThe concept of "Available Inventory" (ATP).[Hands-on] Implementing "Order Allocation" logic and testing for "Insufficient Stock" errors.Section 4:[Unit Test 3] Reorder Point (ROP) ManagementCalculation methods for Lead Time and Safety Stock.[Hands-on] Implementing auto-calculation of ROP and Alerting triggers.Section 5:[Integration Test] Scenario Testing with API GatewayBuilding the REST API with Lambda Proxy Integration.Connecting to DynamoDB using Boto3.[Hands-on] Executing a full business scenario (Order -> Ship -> Alert) using Postman.Section 6: Advanced Topics (Historical Data)OLTP (Online Transaction Processing) vs. OLAP (Online Analytical Processing).[Hands-on] Implementing an automatic inventory history tracking system using DynamoDB Streams.【About the Instructor: Maruchin Tech】After majoring in Computer Science, I started my career at a major Japanese Automotive Manufacturer, engaging in Supply Chain Management (SCM) operations such as packaging, logistics cost management, and procurement. I then transitioned to an IT Consultant role, specializing in system development for the manufacturing and logistics industries. Currently, I operate an independent EdTech business and create educational content on Cloud Computing and Programming as a Udemy instructor. Holder of all AWS Certifications (as of 2025).Are you ready to build a system that works in the real world? Enroll now and let's start coding!
Who this course is for
Python Developers who want to step up from writing scripts to building real-world serverless applications on AWS.
Cloud Engineers interested in "Domain-Driven Design" and learning how to implement actual business logic behind the infrastructure.
Logistics & Supply Chain Professionals who want to understand the technical "black box" behind Warehouse Management Systems (WMS) and ERPs.
Students & Beginners looking for a practical portfolio project that goes beyond simple "Hello World" tutorials.
Homepage
https://www.udemy.com/course/wms-python-aws-en/


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