Capital project delivery for engineering teams — from initial scoping through commissioning and handover. Built on real CDM, FAT/SAT, and risk frameworks from live industrial engagements.
Structured 35-hour programme aligned to the PMI PMP exam content outline. Combines facilitated sessions, practice questions, and live case studies from industrial engagements.
Adapting Agile and Scrum for hardware-software hybrid projects — where you can’t deploy a half-built control system on Friday afternoon. Practical patterns for SAT cycles, milestone gates, and stakeholder cadence.
End-to-end delivery of capital control system projects — URS, FDS, SDS, FAT, SAT and handover. Walks through real engineering deliverables from chemical, food & beverage, and lime production sites.
Quantitative and qualitative risk management for engineering project managers, with a deep dive into HAZOP facilitation, LOPA, and risk register stewardship across the project lifecycle.
Applied machine learning for process engineers — not data science theatre. Every course ends with a deployed model running against real industrial data, not a notebook in a folder.
A grounded introduction to supervised and unsupervised ML using industrial time-series data. Engineers leave able to frame, train, evaluate, and critique their first production-relevant model.
Isolation Forest, autoencoder, and ensemble approaches for catching incipient faults on rotating equipment. Includes the operational reality of false-positive cost and operator trust.
Classical methods (ARIMA, exponential smoothing) alongside modern deep approaches (LSTM, Temporal Fusion Transformer) applied to demand, energy, and equipment health forecasting.
From classical image processing through to modern CNNs and vision transformers, deployed on edge hardware for in-line quality inspection at production speed.
Build production-grade retrieval-augmented generation systems grounded in P&IDs, FDS documents, and operating procedures. Citation traceability, hallucination control, and on-prem deployment.
Closing the gap between a working notebook and a model that survives in production. Versioning, deployment, monitoring, and drift detection for plant-floor ML systems.
Modern software engineering practices, tailored for the industrial automation context — where uptime, traceability, and safety constraints shape every architectural decision.
A focused, no-fluff Python course for engineers who need to automate data work, build small tools, and integrate with industrial systems. From zero to writing useful scripts in five days.
Build production-grade web applications that wrap industrial data — FastAPI back-ends, React front-ends, time-series visualisation, and authentication. End with a working internal tool.
Designing data storage for industrial systems — PostgreSQL for relational data, TimescaleDB and InfluxDB for time series, and the trade-offs that matter when historian data meets analytics.
Software engineering hygiene for control and automation engineers — version control, code review, automated testing, and continuous deployment patterns adapted for the industrial reality.
The core craft — from PLC programming foundations through to functional safety. Taught by certified engineers with production experience across Siemens, Rockwell, Beckhoff, and Codra platforms.
Two parallel streams in one classroom — Siemens TIA Portal (S7-1500) and Rockwell Studio 5000 (CompactLogix). Engineers leave able to read, modify, and deploy structured PLC code on real hardware.
A rigorous, mathematics-light, methodology-first course on PID tuning for real industrial loops — from flow and pressure through to multi-variable temperature systems with significant dead time.
High-performance HMI design and SCADA development following ISA-101 principles. Hands-on labs across AVEVA, Ignition, and Codra Panorama with the focus on operator-effective interfaces.
Functional safety for control engineers — IEC 61508/61511 lifecycle, SIL determination, safety instrumented function design, and proof testing. Aligned to TÜV-style assessment expectations.
PROFINET, EtherNet/IP, OPC UA, and Sparkplug B in depth, alongside an honest treatment of the OT cyber landscape — segmentation, monitoring, and the IEC 62443 standards family.
The practical art of PLC migration — S5 to S7-1500, SLC-500 to ControlLogix, and similar journeys. STL-to-ladder conversion patterns, tag mapping, and rollback strategy.
Every programme runs in three delivery formats. We work with you to find the one that fits your team’s operating reality.
Individual engineers join a scheduled cohort with peers from other organisations. Excellent for cross-industry perspective and networking. Runs quarterly from a central UK location.
We deliver the programme at your facility with your engineers, using examples drawn from your processes and data. Most cost-effective for groups of 6 or more.
Live virtual sessions with a dedicated facilitator, paired with hands-on practical labs and asynchronous coursework. Designed for teams distributed across sites or geographies.
Tell us about your team, the discipline you’re prioritising, and your target timeline. We’ll come back within two working days with a recommended programme.
uzoeshijuliet@gmail.com