Training
Training we wrote ourselves, rebuilt around your operation
Nothing off a shelf. A programme is composed from our own library for your sector and the problems already on your list — or you join one of the open sessions we run.
- 2.500+
- Slides of our own material
- >4.000
- Professionals trained
- 29
- Countries delivered in
- 3
- Languages we deliver in
Open training · Athens
Boost Efficiency with AI Tools
Two days. Hands-on. You leave with a working AI agent.
What we bring
Twenty-two years of material, and every slide is ours
Nothing in our programmes is licensed from a franchise. That is why a course can be rebuilt around your operation instead of handed to you off a shelf — and why it is taught by the people who wrote it.
Composed for you, not adapted
An in-company programme is assembled from the library for your sector, your maturity and the problems already on your list.
We use the tools we teach
Rebuilding a programme around a client used to be weeks of deck work. With the AI tools taught in the same courses, it is now days.
Operational excellence and AI as one course
The library grew up on Lean, Six Sigma and change management, and the AI material was built on top of it — not bolted alongside it.
The library
What an in-company programme can be built from
The two flagship programmes are where most clients start. Behind them sits the rest of the library, and a programme can draw on any of it.
Lean Six Sigma belts
- Yellow Belt
- Green Belt
- Black Belt
- Green to Black Belt upgrade
Design for Lean Six Sigma
- For engineering
- For transactional processes
- IDOV and DMADV
- QFD and functional analysis
Tools and methods
- FMEA
- Design of experiments
- Statistical process control
- Statistical analysis in Python and Excel
- TPM
- 8D problem solving
- Reliability
Leadership and change
- Change management
- Leadership and facilitation
- Project management
- Executive and sponsor alignment
AI for operations
- AI tools for people who do not program
- Analysis without another licence
- Building and running agents
- Governance and responsible use
Train the trainer
- Your own people certified to teach it
- So the capability stays after we leave
Delivered in English, Spanish and German, at introductory, practitioner or expert depth. The improvement project runs inside the course, not after it.
Two programmes we run as they are
If a bespoke programme is more than you need, these two run as published — and still use your own projects as the exercises.
01
Lean Six Sigma Green Belt
Taught with Python in Excel — no Minitab licence needed
A full DMAIC Green Belt, with the statistics running in Excel with Python instead of behind a licence your team has to request and renew.
Syllabus
Foundations
- Introduction to Lean Six Sigma: history, principles, the eight wastes, value chain, sigma and variation
- Introduction to Python in Excel for non-programmers: pandas, matplotlib, seaborn and scipy.stats
- Basic statistics: distributions, normality testing, describing what the data actually says
Define
- Problem and business case, project charter, scope
- Customer requirements and choosing a KPI that can actually track progress
Measure
- Data collection plan: what data the problem needs, and how to get it without bias
- Measurement system analysis and Gage R&R — is the gauge or the process making the variation?
- Process capability: what the process is genuinely able to deliver against specification
Analyse
- The process door: value stream mapping, waste and flow analysis at the gemba
- The data door: graphical analysis, time series, histograms, Pareto, box plots and scatter plots
- Correlation, hypothesis testing and regression to confirm cause and effect rather than assume it
Improve
- Generating and selecting solutions, creativity techniques, Kaizen events
- Piloting, validating and planning implementation
Control
- Control charts and statistical process control
- Control plans, standard work and proliferating the change through the company
02
Boost Efficiency with AI Tools
From structured problem solving to building your own AI agents
A practical programme for operations people, not developers: what AI is good at, how to analyse your own data, and how to build an agent that does real work.
Syllabus
Business excellence and structured problem solving
- Operational excellence as a management system, not a toolkit
- The five principles, the eight wastes, Y = f(x), the change equation R = Q × A
- Structured problem solving end to end — and why OpEx is the foundation for anything digital
Introduction to artificial intelligence
- What AI is, how a language model actually works, and why it is not a search engine
- RAG: getting answers from your own documents; public tools versus your data boundary
- How to judge a tool, seven principles of responsible use, and privacy in practice
- Where to start and where not to — with a worked exercise
Python and Python in Excel
- Python for people who do not program: variables, functions, structure
- Python inside Excel: sending data in, getting results and charts back
- The libraries that matter: pandas, matplotlib, seaborn, scipy.stats
Extract information from your data
- What data a process improvement actually needs, and a data collection plan to get it
- Graphical analysis: time series, histograms, Pareto, box plots, scatter plots
- Correlation and its limits — reading charts without fooling yourself
AI agents
- From chatbot to agent: autonomy, tools and oversight
- Agent instructions, context engineering, and connecting to systems
- Build, publish and operate your own agent
- The Andon agent: what happens when a line stops, and what an agent should and should not do about it
Which programme fits your team?
Tell us who would attend and what you need them to be able to do afterwards. We will tell you which programme fits, and what we would adapt for your sector.