Artificial Intelligence in Operations & Supply Chain is a structured track of 15 lessons that build a complete, interview-ready understanding of the topic. Work through them in order, then use the quiz and flashcards in each lesson to revise.
What this course covers
- How AI Has Changed Operations: What Is Already Different - The concrete changes already in production, separated from vendor projections.
- The AI Impact Map: Which Operations Tasks Change and by How Much - Every operations task scored on automation, augmentation or no change.
- Machine Learning Basics for Operations Professionals - Enough of the mechanism to judge a model and a vendor claim.
- AI in Demand Forecasting and Planning - Where learned forecasts beat statistical ones, and the data they demand.
- AI in Inventory, Replenishment & Allocation - Learned replenishment policies, and the guardrails they need in production.
- AI in Procurement, Contracts & Supplier Intelligence - Spend classification, contract review and supplier risk monitoring.
- AI in Logistics: Routing, Freight & Capacity Matching - Dynamic routing and freight matching, with the constraints that break them.
- Computer Vision in Quality, Safety & Warehouse Operations - Where vision systems work reliably today, and what they still miss.
- Predictive Maintenance and Asset Reliability - Moving from scheduled to condition-based maintenance, and proving the value.
- Agentic AI: Autonomous Planning and Where It Breaks - Agents executing planning steps, and the decisions that must stay human.
- Building the Data and Governance Foundation AI Needs - The unglamorous prerequisites that determine whether any of this works.
- Building an AI Business Case in Operations - Costing an initiative and defining a benefit finance will accept.
- Where AI Fails in Operations and How to Catch It - The failure modes, and the monitoring that surfaces them before customers do.
- Staying Employable: The Operations Professional's AI Skill Set - The capabilities worth building now, in a realistic order.
- Applied: Choosing the First AI Use Case for a Supply Chain - Use cases scored on value and feasibility, ending in a sequenced plan.