Manufacturing and industrials
AI and robotics training for manufacturing and industrials
This is the sector where the robotics catalogue does most of its work, and where the gap is rarely engineering. It is the operators who have to run the cell, the supervisors who have to keep it safe, and the managers who have to specify the next one without repeating what went wrong with the last. Training runs on the plant's own processes, on the machines actually in use.
For the people doing the work day to day.
Built around manufacturing and industrials work
6 courses · 38 facilitated hours
From Spreadsheets to Systems
Somewhere in your team a spreadsheet has quietly become the system: everyone depends on it, one person understands it, nothing backs it up. This course is about recognising that moment and moving on from it deliberately.
Addresses: Tools & Access, Daily Practice
Individual Contributor, Team Lead, Manager
Course outlineRobotics: What It Can and Cannot Do
A grounded introduction for people whose work is about to involve a robot. Separates what the technology genuinely does well from what the trade press implies, using real deployments and real failure modes.
Addresses: Confidence & Skills, Tools & Access
Individual Contributor, Team Lead, Manager
Course outlineRunning and Troubleshooting a Robotic Cell
For the people who own the cell on a shift. Covers the routine - changeovers, first-off checks, common faults - and the judgement of when to fix, when to stop, and when to call someone.
Addresses: Daily Practice, Tools & Access
Individual Contributor, Team Lead
Course outlineVision Systems and Automated Inspection
Cameras that inspect every part sound simple until lighting drifts, false rejects pile up, and nobody trusts the reject bin. Hands-on with how inspection systems actually behave and how to keep them honest.
Addresses: Tools & Access, Daily Practice
Individual Contributor, Team Lead
Course outlineWarehouse and Logistics Automation in Practice
Automated storage, mobile robots and conveyor systems as they actually behave in a working site: at peak, with awkward stock, and when one unit goes down mid-shift.
Addresses: Daily Practice, Tools & Access
Individual Contributor, Team Lead, Manager
Course outlineWorking Alongside a Cobot
Collaborative robots share a workspace with people, which makes them an operational and behavioural question rather than only a technical one. Hands-on with the daily reality: starting it, guiding it, stopping it, and knowing when not to.
Addresses: Confidence & Skills, Daily Practice
Individual Contributor, Team Lead
Course outlineWhat this sector brings into the room
- The integrator leaves and the cell becomes yours
- Running and troubleshooting a robotic cell, first-line diagnosis, when to escalate and when not to. The cost of a stopped line is usually the argument that wins the training budget.
- Safety is a working practice, not a document
- Guarding, risk assessment, and the habits that survive a busy shift. Supervisors work through their own workcells rather than a textbook layout.
- Specifying the next deployment properly
- What to ask for, what the payback actually depends on, what it costs to run once the integrator has gone, and who inside the business owns it afterwards.
- The operations system is a spreadsheet
- A large amount of manufacturing runs on one workbook that one person understands. The technology track deals with that honestly, including when to leave it alone.
Also runs for any sector
These work the same way whoever is in the room. They are still delivered on your own material, so they are no less specific to you - the sector simply is not what changes them.
AI Foundations for Every Role
A facilitated introduction for staff who have little or no structured experience with AI tools. Participants leave having used AI on their own real work, with a clear view of what these systems can and cannot do.
Addresses: Confidence & Skills, Daily Practice
Individual Contributor, Team Lead
Course outlineAI Tooling and Integration Clinic
A short clinic for teams whose tools are in place but underused or disconnected. Run against your organisation's actual toolset rather than a generic demo stack.
Addresses: Tools & Access
Individual Contributor, Team Lead, Manager
Course outlineEmbedding AI in Daily Workflows
Moves participants from ad hoc use to repeatable practice. Each participant maps one of their own recurring workflows and rebuilds it with AI in the loop.
Addresses: Daily Practice, Tools & Access
Individual Contributor, Team Lead
Course outlineGetting Value From the Tools You Already Own
Most organisations have more unused capability sitting inside licences they already pay for than in anything they are about to buy. This is a working audit of what you have, what it can do, and what to switch on first.
Addresses: Tools & Access
Individual Contributor, Team Lead, Manager
Course outlinePrompting and Output Verification
A working session on getting reliable results and, more importantly, on checking them. Built around the verification habits that separate occasional AI users from dependable ones.
Addresses: Confidence & Skills, Responsible Use
Individual Contributor, Team Lead, Manager
Course outlineWhich of these does your organisation actually need?
The readiness assessment scores each person across five dimensions and maps the gaps onto this catalogue, by department and by role. Five minutes per person, and it answers the question with a measurement rather than a guess.