AI in Manufacturing
A ~36-minute playbook for plant managers and VPs of manufacturing. 6 plays, 3 anti-plays, the OT/IT bridge filter, and 4 trust trip-wires. Voice: Emma.
8
Chapters
~36 min
Duration
Intermediate
Level
No
Certification
Who this is for
For plant managers, VPs of manufacturing, plant engineers, quality + maintenance leaders, and operations directors.
How this course works
- 8 audio-narrated slide chapters · ~36 min of focused content
- Narrated by Emma (Azure neural voice)
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- 6 plant-floor plays that ship — predictive maintenance, vision quality, energy, scheduling, safety, throughput
- 3 pitches that disappoint — and the OT/IT bridge filter that separates them
- How to design the OT/IT bridge that makes AI on the shop floor possible
- The digital-twin reality applied honestly — what works, what's marketing, what breaks at production scale
- The ISA-95 stack as the deployment frame — where AI plugs in safely vs where it threatens uptime
- A 12-month plant roadmap with OEE and quality KPIs as the success measure
- The trust trip-wires — worker safety, equipment integrity, regulatory disclosure
Course content
8 chapters · ~36 min
Welcome
A 1-minute orientation — what the course covers, how to navigate, and what you walk out with. No audio on this screen.
The manufacturing AI landscape
6 plays · 3 anti-plays · OT/IT bridge filter (plant engineering + IT + AI team in room from day one).
Predictive maintenance for plants
3 sensor coverage decisions · the narrative layer engineers act on · 3 project killers (data quality · alert fatigue · CMMS disconnect).
Quality vision AI
3 messy challenges (lighting · drift · novel defects) · 3-stage operator labelling loop · false-confidence year-2 failure mode + 3 disciplines.
Process optimisation with AI
3 signals AI surfaces (multi-parameter · drift · best-shift) · operator-led experiment design · 3 overfitting guards.
Plant-floor supply chain integration
3 signal flows (demand · material · equipment) · 3 re-planning cadences (strategic monthly · tactical weekly · operational real-time) · 3 failure modes.
Safety AI
3 use cases (PPE · near-miss · ergonomic) · the line nobody crosses (support, not surveillance) · 3 failure modes specific to safety AI.
Digital twin: pragmatic, not megaproject
The megaproject trap · 3 targeted twins that ship in 4-6 months · 3 discipline rules (6-mo TTV · 1 bounded use case · plant engineers in design).
Making it stick: your plant AI roadmap
12-month plant rollout · 4 trust trip-wires · interactive Markdown builder for your plant manager + VP Manufacturing.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.