Practical AI applications in infrastructure design — predictive maintenance, generative design, AI-assisted compliance checking, digital twins, and EU AI Act governance for engineering practice.
8 lessons taking you from fundamentals through to working application — written for engineers and decision-makers, not students.
Why this course exists. AI in engineering is moving from demo to production. Predictive maintenance is shipping in real BMS systems. Generative design is in Revit, Tekla, Rhino. The EU AI Act is regulating what you can and cannot deploy. This course is the working engineer's tour.
Who it's for. Senior engineers and team leads who need to evaluate AI vendors, design AI-aware workflows, and avoid the EU AI Act traps. Not a coding course — a decision-making course.
How it's written. Eight lessons that separate genuine engineering value from vendor hype. With case studies on what works, what doesn't, and where the regulatory boundaries actually sit.
Read in order, or jump to the lesson you need. Each lesson stands alone but the course flows from foundation to application.
AI fundamentals — supervised, unsupervised, reinforcement learning. Models, training, inference.
Predictive maintenance — vibration, thermal, current signature analysis.
Generative design — topology optimisation, parametric exploration.
AI-assisted compliance checking — code review of MEP, structural, regulatory.
Digital twins — IFC, real-time sensor integration, what-if simulation.
AI in BMS — anomaly detection, comfort optimisation, demand response.
EU AI Act 2024/1689 — risk classification, high-risk AI systems, obligations.
Case studies and 2030 outlook — what works now, what is hype, where we are heading.
Structured to support self-certified CPD logging. Each lesson provides clear learning objectives, technical content, knowledge checks, and downloadable evidence — the four elements UK chartered bodies recognise for self-certified CPD entries.
Eight outcomes. Read the course end-to-end and you’ll be able to act on each one without looking up the standard.
Distinguish AI types ML, deep learning, LLMs — and what each is good for.
Evaluate predictive maintenance vendors with engineering rigour.
Use generative design in real workflows, not demos.
Run AI-assisted compliance without overestimating the output.
Build digital twin strategy from BIM to operational telemetry.
Optimise BMS with AI while preserving safety and reliability.
Apply EU AI Act classification to your engineering use cases.
See where AI is heading for buildings, infrastructure, and grid.
First 2 lessons are free, no signup. For the rest, pick what fits.
Team licences from £99/seat (5+ seats). Contact hello@novtriq.tech.
Three companion courses that pair well with AI in Engineering.
No signup, no card. Read the first lessons, take the quizzes — then decide.
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