
Master Demand Forecasting, Docker, Lambda, and Logistics Logic. bridging the gap between AI modeling and real-world SCM
Build an AI Automated Ordering System with Python & AWS
InstructorMaruchin Tech
Master Demand Forecasting, Docker, Lambda, and Logistics Logic. bridging the gap between AI modeling and real-world SCM
InstructorMaruchin TechComidoc has tracked 4 coupons for this course since 2026, last checked 2h ago. On average, a new coupon appears roughly every 22 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| BE02CDB01545CE9F9D5C | 33% off | Expired | 30d | |
| 50F6978FDDDD90D9F110 | 100% off | Expired | ~30 daysRan full term | |
| F710D56E189EC1943E4B | 33% off | Expired | 28d |
The curriculum integrates practical supply chain constraints, including safety stock calculations and order decision logic, alongside supervised learning techniques like Random Forest.
Instruction covers the full lifecycle of containerizing models with Docker and deploying them to AWS Lambda, including IAM configuration.
Development relies on Google Colab and AWS CloudShell, which may not reflect standard local development workflows used in many enterprise environments.
The curriculum aligns well with the stated goals of Python learners and logistics professionals through its focus on AWS and Scikit-learn.