Industrial AI & Process Optimisation

About this course

Explore Industrial AI & Process Optimisation through online lessons, practical labs and a capstone. Advanced level; estimated study time: 22 h.

Course curriculum

• Module 1 — Where AI Helps in Industry
• Module 2 — Soft Sensors
• Module 3 — Process Anomaly Detection
• Module 4 — Optimisation and Setpoint Recommendation
• Module 5 — Reinforcement Learning: Concepts and Limits
• Module 6 — Validation Across Time and Operating Regimes
• Module 7 — Human-in-the-Loop Operation
• Module 8 — MLOps at the Edge

Applied learning

• Case Study — The Advisor That Went Flat
• Lab 1 — A soft sensor for a quality variable
• Lab 2 — Setpoint optimisation with constraints
• Lab 3 — Drift monitoring
• Capstone — An Industrial AI Solution, from Use Case to Operation

Who this course is for

Engineer / Architect; Technology Professional; Enterprise Team; Data Professional

Prerequisites

NE-IND-205

Course details

Course code: NE-IND-301. Delivery: Instructor-Led / Cohort. School: Smart Industry & Industrial IoT.

Includes online lessons and practice activities. Course materials are in pilot review.