| File Name: | Build an AI Automated Ordering System with Python & AWS |
| Content Source: | https://www.udemy.com/course/python-aws-forecasting-ai-en/ |
| Genre / Category: | Ai Courses |
| File Size : | 1.6 GB |
| Publisher: | Maruchin Tech |
| Updated and Published: | December 28, 2025 |
“I built an AI model, but I don’t know how to apply it to real business problems.” Does this sound familiar? This course is not just a programming tutorial; it is a practical development guide designed to solve real-world logistics challenges using AWS and Python. We bridge the gap between “theoretical AI” and “practical business systems.” You will learn how to integrate messy, real-world constraints—such as “long lead times for overseas procurement” or “reducing inventory during the rainy season to prevent rust”—into your system architecture.
Course Highlights:
- Browser-Based Development: By using Google Colab and AWS CloudShell, you can complete the entire development flow without complex local environment setups.
- Serverless AI: We adopt AWS Lambda’s Container Image support to run heavy AI libraries (like Scikit-learn/Pandas) in a serverless environment.
- Business Logic Focus: Learn the design philosophy behind integrating AI predictions with strict business rules.
Course Agenda:
- Section 1: Introduction – Course overview and system architecture.
- Section 2: Environment Setup – Setting up Google Colab and AWS CloudShell.
- Section 3: Data Strategy & Generation – Generating dummy sales data with seasonality and weather correlation using Python.
- Section 4: Implementing AI Logic (Google Colab) – Building demand forecasting models with Scikit-learn.
- Section 5: Implementing Business Logic (Google Colab) – Coding rules for “Order Judgment” and “Safety Stock.”
- Section 6: Containerization & AWS Deploy (CloudShell) – Building Docker containers, pushing to ECR, and creating Lambda functions.
- Section 7: Simulation & Testing – Scenario testing via API integration.
- Section 8: Summary & Advanced Topics – Audit logging with DynamoDB Streams, weather API implementation, and model expansion.
About the Instructor: Maruchin Tech
After majoring in Information Engineering, I started my career at a Japanese automotive manufacturer. I spent 7.5 years in Supply Chain Management (SCM), handling packaging, procurement, and purchasing. Following that, I worked as an IT Consultant for 6 years, specializing in manufacturing and logistics sectors, focusing on Inventory Management and ERP system development.
Currently, I operate independently in the EdTech sector and create educational content on Cloud and Programming as a Udemy Instructor. Credentials: AWS All Certifications (12 Certifications as of 2025).
DOWNLOAD LINK: Build an AI Automated Ordering System with Python & AWS
Build_an_AI_Automated_Ordering_System_with_Python_AWS.part1.rar – 1000.0 MB
Build_an_AI_Automated_Ordering_System_with_Python_AWS.part2.rar – 670.8 MB
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