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TIVOX Academy · Course programme
AI training for industry
Practical AI, taught by the people who install it, using data from your own line. Three levels and seven courses, from the basics for the whole workforce to a pilot in your plant, plus 69 specialist workshops.
The three levels
From understanding AI to putting it to work
You start with what the whole company shares and continue with the track for each department. Click a course to see its full syllabus.
Hands-on, by department
With your photos, data and documents. One track for each part of the factory:
Expert
A measured pilot on your line and a project proposal.
Plus specialist workshops: AI tools · Automation and maintenance · Machine vision · Data and maintenance · Continuous improvement and energy · AI by job role · Regulation and governance · In-company formats · External audiences.
How we work
Taught by the people who install it
Every course follows the same method: your own material, little theory and a result you can use the very next day.
At your plant or live online
Groups from your company, with a trainer who designs and installs machine vision, automation and AI.
With your material
The exercises use photos of your packs, your stoppages, your breakdowns and your documents.
Two sessions and an assignment
Level 2 tracks run as two 4-hour sessions, with an assignment carried out at the participant's own workstation in between.
A written result
Every track ends with a report on the opportunities in your plant, delivered within 48 hours.
Attendance and assessment
Signed attendance records, a final test and a feedback questionnaire.
Verifiable certificate
Each certificate carries a code so it can be checked, and every participant's training is recorded.
N1-FUN · Level 1 · Fundamentals
Practical AI · Fundamentals
What AI is and what it isn't, how an assistant works under the hood, which tools exist (ChatGPT, Gemini, Copilot, Claude…) and what a GPT, a Gem, a project or a skill is for, and how to use them well and safely. With seven live tests showing how the answer changes depending on how you ask. For the whole workforce, with no prior knowledge needed, in groups of up to 25 people.
Duration4 h
Who it's forThe whole workforce
FormatAt your plant or live online
OutcomeFinal test and verifiable certificate
What you will be able to do
- Explain in your own words what AI is, its layers (machine learning, deep learning, generative AI) and how an LLM works.
- Tell the main assistants apart and know what a GPT, a Gem, a project, a skill, a connector, an agent and the “Code” tools are for.
- Recognise the typical errors of AI: made-up data, bias and overconfidence.
- Phrase requests to an assistant correctly and see how the answer changes with context, role, tone and examples.
- Apply the basic rules of privacy and confidentiality: what information must never be entered into an AI tool.
- Know what the EU AI Act expects from companies that use AI, and what your company's AI use policy is.
Syllabus · one 4-hour session
- What AI is and what it isn't · 50 min
From rules to data. The layers of AI. The three families you will see in a plant, with real examples. How a machine learns. 75 years of history. Glossary. Live test: context. - Today's AI tools · 45 min
What an LLM is: tokens, context and cut-off date. ChatGPT, Gemini, Copilot, Claude, Le Chat and open models: where each one stands. Free version versus business version. GPT, Gem, project, skill, Markdown, connectors, agents and “Code”. Live tests: prediction and role. - Myths, limits and errors · 20 min
Made-up data, bias, and why a person always checks. Live test: the same question twice. - Guided practice with an assistant · 65 min
The four parts of a good request. Live tests: tone, examples and step by step. Three exercises with tasks from your own job, and how to check the result. - Responsible and safe use · 35 min
The data traffic light, what a person always decides, and a case for discussion. - The EU AI Act and your company's policy · 15 min
Risk-based classification, AI literacy (Article 4) and the questions for your company. - Assessment and wrap-up · 10 min
Seven live tests: context, prediction, role, the same question twice, tone, examples and step by step. You see on screen how the answer changes depending on how you ask.
N2-DIR · Level 2 · Hands-on
AI in your plant · Management: where to apply it and how to decide
For management and department heads: a map of where AI delivers results in a plant, how to calculate its return, how to set up a pilot that is actually useful and what to ask a supplier. Using your company's data.
Duration8 h · two 4-hour sessions
Who it's forManagement and department heads
FormatAt your plant or live online
OutcomeOpportunities report within 48 h
What you will be able to do
- Identify the uses of AI with the highest return in a production and packaging plant.
- Estimate the cost, savings and timeline of a case using your company's data.
- Prioritise opportunities by impact and effort.
- Set up a pilot with a baseline indicator, scope and success criterion.
- Assess supplier proposals and organise the responsible use of AI in the company.
Session 1 (4 h) · Where the value is
- Map of AI uses in a plant: vision inspection, predictive maintenance, OEE and stoppages, shift assistants, office · 60 min
- How the return is calculated: today's cost of the problem, expected savings, investment and payback time · 60 min
- Data: what is needed, what your plant already has and what still needs collecting · 45 min
- Risks: EU AI Act, data, supplier dependence, the impact on people · 30 min
- Workshop: opportunity map for your plant · 45 min
Assignment between sessions: gather 3 real problems with their approximate annual cost.
Session 2 (4 h) · How to decide
- Prioritising: impact–effort matrix with the 3 problems brought in · 60 min
- A well-designed pilot: baseline indicator, scope, duration and success criterion · 60 min
- Buy or build. What to ask a supplier, and warning signs · 45 min
- AI governance: use policy, owner, training and records · 30 min
- Workshop: 12-month roadmap and assessment · 45 min
Deliverable: report on the opportunities in your plant within 48 hours.
N2-CAL · Level 2 · Hands-on
AI in your plant · Quality: machine vision, false rejects and escapes
For quality staff and line technicians: how a machine sees, when to use classic vision and when deep learning, how to measure false rejects and escapes, and statistical process control with the help of AI. Using photos of your packs and your reject data.
Duration8 h · two 4-hour sessions
Who it's forQuality staff and line technicians
FormatAt your plant or live online
OutcomeOpportunities report within 48 h
What you will be able to do
- Explain how a vision system works: lighting, optics, camera and software.
- Choose between classic (rule-based) vision and deep learning depending on the defect.
- Measure an inspection system with the confusion matrix: false rejects and escapes, and what each one costs.
- Train and evaluate a simple classifier with your own photos, without programming.
- Use statistical process control (normal distribution, Cpk, thresholds) and generative AI in day-to-day quality work.
Session 1 (4 h) · How a machine sees
- The parts of a vision system: lighting, optics, camera, triggering and software · 45 min
- Classic vision versus deep learning: which defect calls for which · 45 min
- Measuring properly: confusion matrix, false reject and escape, and what each one costs · 60 min
- Practice: sort photos of your packs by hand and calculate their matrix · 60 min
- Preparing the assignment · 30 min
Assignment between sessions: collect about 50 photos of good packs and 50 defective ones, plus one month of rejects.
Session 2 (4 h) · From data to improvement
- Practice: train a classifier with your photos, without programming, and measure it · 75 min
- Statistical process control: normal distribution, Cpk and where to set the threshold · 60 min
- Generative AI in quality: summarising complaints, drafting 8D reports and work instructions · 45 min
- Improvement plan for your line and assessment · 60 min
Deliverable: quality opportunities report within 48 hours.
N2-PRO · Level 2 · Hands-on
AI in your plant · Production: OEE, stoppages and the shift
For shift leaders, supervisors and production technicians: measuring OEE properly, finding the costliest stoppages with the help of AI, building a shift dashboard and using an assistant for the shift handover. Using data from your line.
Duration8 h · two 4-hour sessions
Who it's forShift leaders, supervisors and production technicians
FormatAt your plant or live online
OutcomeOpportunities report within 48 h
What you will be able to do
- Calculate OEE from its three factors and know where each figure comes from.
- Analyse stoppages with a Pareto chart and find patterns by shift, format or changeover, with the help of AI.
- Build a simple shift dashboard.
- Use an AI assistant for shift handovers, standard work and format changeovers.
- Propose a measurable improvement plan for your line.
Session 1 (4 h) · Measuring properly
- OEE: availability, performance and quality, and the usual mistakes when measuring it · 60 min
- Where the data comes from: PLC, counters, shift reports and spreadsheets · 45 min
- Practice: calculate OEE with your data and build the stoppage Pareto with the help of an assistant · 90 min
- Preparing the assignment · 45 min
Assignment between sessions: export one month of stoppage and production data from one line.
Session 2 (4 h) · Improving with data
- Patterns: by shift, by format, after a changeover · 60 min
- The shift dashboard: what to show and what not to · 45 min
- An assistant for shift handovers and standards; AI in format changeovers (SMED) · 60 min
- Improvement plan for your line and assessment · 75 min
Deliverable: production opportunities report within 48 hours.
N2-MAN · Level 2 · Hands-on
AI in your plant · Maintenance: from reactive to predictive
For maintenance technicians and managers: analysing the breakdown history with AI, the signals that announce a failure, an assistant that looks things up in your machine manuals and how to set up a predictive maintenance pilot. Using your CMMS data and your manuals.
Duration8 h · two 4-hour sessions
Who it's forMaintenance technicians and managers
FormatAt your plant or live online
OutcomeOpportunities report within 48 h
What you will be able to do
- Tell corrective, preventive and predictive maintenance apart, and when each one pays off.
- Analyse the breakdown history with the help of AI: Pareto, MTBF and MTTR.
- Identify which signals (vibration, temperature, power draw, cycles) announce the failure of each piece of equipment.
- Safely use an assistant that looks things up in your machine manuals.
- Set up a predictive maintenance pilot on a critical asset.
Session 1 (4 h) · What your data says
- Corrective, preventive and predictive: when each one pays off · 45 min
- The data you already have: CMMS, breakdown reports, counters and machine signals · 45 min
- Practice: analyse your breakdown history with an assistant (Pareto, MTBF and MTTR) · 90 min
- Preparing the assignment · 60 min
Assignment between sessions: export the CMMS history and gather the manuals for 2 critical machines.
Session 2 (4 h) · Getting ahead
- Signals that announce a failure and how to capture them · 45 min
- Simple anomaly detection with a real signal · 60 min
- An assistant built on your machine manuals: error codes and procedures; limits and safety · 60 min
- Predictive pilot plan for a critical asset and assessment · 75 min
Deliverable: maintenance opportunities report within 48 hours.
N2-ADM · Level 2 · Hands-on
AI in your job · Administration and office
For administration, purchasing, logistics and technical office staff: using AI assistants for emails, reports, minutes and spreadsheets, extracting data from invoices and orders, and automating repetitive tasks while measuring the time saved. Using real documents and tasks from your job.
Duration8 h · two 4-hour sessions
Who it's forAdministration, purchasing, logistics and technical office
FormatAt your plant or live online
OutcomeOpportunities report within 48 h
What you will be able to do
- Use an AI assistant for emails, reports, minutes and summaries with good instructions.
- Work on spreadsheets with the help of AI: formulas, tables and data cleaning.
- Extract data from documents (invoices, orders, delivery notes) and check it.
- Automate simple repetitive tasks with templates and saved instructions.
- Measure the time saved and work with privacy and quality control in mind.
Session 1 (4 h) · The assistant in everyday work
- Good instructions for office work: context, task, format and tone · 45 min
- Practice: emails, meeting minutes and summaries of long documents · 75 min
- Spreadsheets with AI: formulas, pivot tables and data cleaning · 75 min
- Privacy: which data never leaves the approved tools · 15 min
- Preparing the assignment · 30 min
Assignment between sessions: choose 3 repetitive tasks in your job and measure how long they take.
Session 2 (4 h) · Automating and measuring
- Extracting data from invoices, orders and delivery notes, and checking it · 60 min
- Templates and saved instructions for repetitive tasks · 60 min
- AI inside the tools you already use (email, documents, spreadsheets) · 45 min
- Measuring the savings on the 3 tasks, plan and assessment · 75 min
Deliverable: office opportunities report within 48 hours.
N3-EXP · Level 3 · Expert · Coming soon
AI in your plant · Expert: from idea to pilot on your line
For the team that will bring AI into the plant: choose a real case, collect the data, build a pilot (vision on your packs, an assistant on your documents or an OEE dashboard), measure it and present it to management.
Duration20 h over 8 to 12 weeks
Who it's forThe project team
FormatAt your plant or live online
OutcomeCosted project proposal
What you will be able to do
- Choose and scope a case in your plant with a measurable indicator.
- Collect and prepare the data needed.
- Build a pilot in one of three specialisms: vision and deep learning, data and OEE, or agents and automation.
- Measure the result against the baseline.
- Present the result to management, together with a costed project proposal.
Syllabus · five blocks
- Kick-off: choosing and scoping the case, baseline indicator and success criterion · 4 h
- Data: collection, labelling and preparation · 4 h
- Building the pilot in the chosen specialism · 4 h + work in the plant
- Measuring the result against the baseline · 4 h
- Presentation to management and costed project proposal · 4 h
Specialisms: vision and deep learning · data and OEE · agents and automation.
Specialist workshops
69 specialist workshops, by family
Hands-on workshops of 2 to 16 hours on a specific task in the job, grouped by family. Click a workshop to see who it is for, what you will be able to do and its syllabus.
Getting more out of AI assistants
For people who already use an assistant and want to ask better, work with their own files, documents and office tools, and reduce repetitive tasks with sound judgement.
- H-PROMPT · Practical prompting: how wording changes the answer
- H-MEDIDA · Custom assistants: GPTs, Gems, projects, skills and agents
- H-ARCHIVOS · Analyse your files: finding faults and trends with AI
- H-OFIMATICA · Copilot or Gemini in your office tools
- H-EXCEL · Excel with AI for plant data
- H-VOZ · Voice, transcription and translation on the shop floor
- H-LUP · Visual work instructions and one-point lessons with AI
- H-DOCS · An assistant built on your plant's documents
- H-SINCODIGO · No-code automations
- H-LOCAL · Local AI: when data cannot leave the plant
- H-CODE · Coding assistants for technicians (Claude Code, Codex and similar)
- H-PYTHON · Basic Python for plant engineers, with AI as co-pilot
AI alongside the technician
Manuals and alarms, PLC programs, electrical schematics, machine data and sensors, always checked on the machine and with safety first.
- A-MANUALES · Using equipment manuals with AI: alarms on drives, robots and cameras
- A-ESQUEMAS · Interpreting electrical schematics with AI
- A-PLC · Reading, explaining and changing a PLC program with AI
- A-DATOS · PLC and SCADA: where the data comes from
- A-IOT · Sensors and IoT for legacy machines
- A-EDGE · Edge computing for the line
- A-MES · MES: what it is, what it isn't and when you need one
- A-GEMELO · Digital twins: reality and expectations
- A-MAQUINAS · Machinery Regulation and components with AI
Keeping inspection sharp
From zero to training a model with your own images: lighting and optics, code reading, measurement, defects and the day-to-day care of installed systems, including our own software, TIVOX Sentinel PLUS.
- V-BASE · Machine vision from scratch: camera, optics and lighting
- V-LUZ · Lighting and optics: where an inspection is won or lost
- V-METODO · Classic vision or deep learning: when to use each
- V-OCR · Code reading and OCR: dates, batch numbers and DataMatrix
- V-DEFECTOS · Defect library: how to build and maintain it
- V-ENTRENA · Training a deep learning model with your own images
- V-MEDIR · Measuring with vision: calibration and repeatability
- V-3D · 3D and hyperspectral vision: what is possible today
- V-TECNICO · The plant's vision technician: maintaining inspection
- V-SENTINEL · TIVOX Sentinel PLUS power user
Plant data you can base decisions on
OEE calculated properly, dashboards, reports, CMMS history, vibration, anomaly alerts and product loss, using the data your plant already has.
- D-CALIDAD · Why AI projects fail on the shop floor: data quality
- D-OEE · OEE calculated properly: definitions, micro-stoppages and pitfalls
- D-CUADRO · Line dashboard: OEE, stoppages and rejects with the help of AI
- D-INFORMES · Automatic reports with an AI analyst
- D-GMAO · CMMS history with AI
- D-VIBRA · Vibration for predictive maintenance: the basics
- D-ANOMALIAS · Anomaly detection in machine signals
- D-MERMAS · Overfilling and product loss with weighing data
Continuous improvement and energy, with data
8D, statistics, lean, kaizen, SMED and TPM with AI as co-pilot, and energy and compressed air consumption measured per unit produced.
- M-8D · 8D, 5 Whys and Ishikawa with AI as co-pilot
- M-ESTAD · Plant statistics with AI: SPC, capability, measurement and basic Six Sigma
- M-LEAN · Lean with AI: waste, measured with data
- M-KAIZEN · One-day kaizen on your line
- M-SMED · SMED with video and AI
- M-TPM · Autonomous maintenance (TPM) with AI
- E-ENERGIA · Energy per unit produced
- E-AIRE · Compressed air: leaks and consumption with sensors
AI in every job
Workshops designed for each profile in the company: operators, shift supervisors, middle managers, planning, purchasing, sales and the board.
- P-OPERARIO · AI for line operators
- P-TURNO · AI for shift supervisors: handover, shift report and the 5-minute meeting
- P-MANDOS · Middle managers: bringing AI to the team
- P-PLANIF · AI for production planning
- P-COMPRAS · Plant purchasing track with AI
- P-COMERCIAL · Technical sales track with AI: from request for quotation to follow-up
- P-CONSEJO · Session for the board and owners
Regulation, quality and AI governance
Bringing order to the use of AI in the company, the EU AI Act, cybersecurity on the line, and data integrity, GMP, HACCP and BRCGS and IFS audits when cameras and AI are involved.
- R-GOBIERNO · AI governance in the company
- R-AIACT · The EU AI Act for industry: beyond Article 4
- R-CIBER · Basic cybersecurity on the line
- R-ALCOA · ALCOA+ data integrity in inspection systems
- R-ANEXO22 · Annex 22: AI in a GMP environment
- R-APPCC · HACCP with vision: automatic control points
- R-BRC · BRCGS and IFS audits with AI
Making AI stick in the company
AI champions in every area and in-house trainers who deliver the courses to their own workforce.
For other audiences
Senior managers, associations and clusters, machinery manufacturers and their service teams, vocational training teachers and universities.
- X-DIRECCION · Executive programme: AI strategy in operations, with a plant visit
- X-JORNADA · Hands-on AI on the shop floor event for associations and clusters
- X-FABRICANTES · Machinery manufacturers: integrating vision and AI into your machine
- X-SERVICIO · Manufacturers' service technicians: diagnosis with AI
- X-FP · Vocational training teachers: vision, cobots and applied AI for the classroom
- X-UNIVERSIDAD · Seminar: industrial vision and AI on the shop floor, from the people who install it
H-PROMPT · Workshop · AI tools
Practical prompting: how wording changes the answer
For people who already use an AI assistant and want to ask better. You write the same request several ways to see on screen what changes, and practise the techniques that improve the result most, using real tasks from your job.
Duration4 h
Who it's forAll staff with some hands-on experience
FormatAt your plant or live online
OutcomeA prompt library by job role
What you will be able to do
- Build a good prompt: role, context, task, format, examples, constraints and quality criteria.
- Use the techniques that improve the result most: let it ask first, several options, self-critique and templates.
- Ask for the format you need: table, text, Markdown or JSON.
- Avoid the typical mistakes: ambiguity, double requests and excessively long conversations.
- Prompt well with files and images and check what comes back.
Syllabus
- Anatomy of a good prompt · 45 min
- Techniques that multiply results · 60 min
- Typical mistakes: words, language, length and order · 50 min
- With files and images · 40 min
- Your prompt library · 35 min
H-MEDIDA · Workshop · AI tools
Custom assistants: GPTs, Gems, projects, skills and agents
For building useful, safe AI assistants for your team: when a chat is enough and when a GPT, a Gem, a project, a skill or an agent makes sense. You build live a shift-handover assistant and another with a machine's manuals, in whichever tool your company uses.
Duration4 h
Who it's forSupervisors, technicians and office staff
FormatAt your plant or live online
OutcomeA spec sheet for your assistant
What you will be able to do
- Choose the right tool for each task using a decision tree.
- Write instructions that work and prepare the documents you upload.
- Build, step by step, a shift-handover assistant and a manual-lookup assistant.
- Understand how a skill is made and design an agent with permissions, human approval and logging.
- Test, maintain and share an assistant without risks.
Syllabus
- Which tool for what: the decision tree · 30 min
- Instructions and documents that work · 40 min
- Step-by-step build: shift handover and a machine's manuals · 60 min
- Skills: anatomy and the 8D report example · 30 min
- Agents: permissions, human approval and logging · 25 min
- Testing, maintenance and the risks of a shared assistant · 25 min
- Your assistant's spec sheet · 20 min
H-ARCHIVOS · Workshop · AI tools
Analyse your files: finding faults and trends with AI
For technicians, supervisors and quality staff who want to find faults and trends in their own data: PLC, SCADA, CMMS and ERP exports, PDFs and photos. How to prepare the file, what stays out, how to ask for an analysis that shows its working and how to check every figure.
Duration4 h
Who it's forTechnicians, supervisors, quality and maintenance
FormatAt your plant or live online
OutcomeA checked finding and its action
What you will be able to do
- Prepare an exported file for analysis with AI and decide which data is not uploaded.
- Ask for an analysis that calculates with code and shows its working.
- Look for the typical patterns: Pareto, trends, shifts, before and after a change, and outliers.
- Extract information from PDFs, photos and screenshots, knowing where AI gets it wrong.
- Always check the result and turn the finding into an action on the shop floor.
Syllabus
- Preparing the file and deciding what is uploaded · 40 min
- Asking for a good analysis · 35 min
- Typical patterns, case by case · 45 min
- Photos, PDFs and screenshots · 20 min
- Always check · 20 min
- Pair exercise: find the fault · 60 min
- From finding to action · 10 min
H-OFIMATICA · Workshop · AI tools
Copilot or Gemini in your office tools
For office staff and supervisors who want to make the most of the AI assistant their company already has inside email, meetings, documents and spreadsheets, such as Copilot or Gemini. All with a single practical case: an order that gets complicated.
Duration4 h
Who it's forOffice staff and supervisors
FormatAt your plant or live online
OutcomeThree tasks of your own for the following week
What you will be able to do
- Know what data the built-in assistant can see and why permissions matter.
- Summarise long email threads and draft replies without changing commitments.
- Produce the minutes and action items from a transcribed meeting.
- Draft, review and compare documents without changing their substance.
- Ask questions of a spreadsheet and check everything before sending it.
Syllabus
- The assistant your company already pays for · 20 min
- What the assistant sees: data and permissions · 30 min
- Email: summarising, replying and checking the tone · 35 min
- Meetings: transcript, minutes and action items · 35 min
- Documents: drafting, reviewing and comparing · 30 min
- Asking a spreadsheet · 35 min
- Combined exercise: email, meeting and spreadsheet · 25 min
- Always check, and your plan for the week · 20 min
H-EXCEL · Workshop · AI tools
Excel with AI for plant data
For technicians, supervisors and technical office staff who work with plant data in Excel: stoppages, shifts, rejects and hours. AI proposes and explains the formulas, Excel calculates them and you check them.
Duration4 h
Who it's forTechnicians, supervisors and technical office
FormatAt your plant or live online
OutcomeA month of stoppages counted properly, with its Pareto
What you will be able to do
- Put plant data into a table you can actually work with.
- Ask AI for formulas that work first time in your Excel, without uploading the sheet.
- Calculate durations that cross midnight, shifts and production days correctly.
- Build the stoppage Pareto with pivot tables and charts for the meeting.
- Check any formula before trusting it.
Syllabus
- A well-built sheet · 20 min
- Asking for and understanding formulas · 30 min
- Dates, times and shifts · 35 min
- Summing and looking up · 30 min
- Pivot tables and Pareto · 35 min
- Charts for the meeting · 15 min
- Checking the AI's formula · 20 min
- Pair practice: a month of stoppages on one line · 45 min
H-VOZ · Workshop · AI tools
Voice, transcription and translation on the shop floor
For supervisors, quality and HR: using dictation, transcription and machine translation on the shop floor while knowing what to review. From dictating reports in a noisy environment to translating instructions for colleagues who speak other languages.
Duration2 h
Who it's forSupervisors, quality and HR
FormatAt your plant or live online
OutcomeMinutes and a translated instruction, both reviewed
What you will be able to do
- Dictate reports and notes on the shop floor so they are understood first time.
- Spot speech recognition errors that read well: figures, batch numbers and negatives.
- Transcribe a meeting, with attendees informed, and turn it into reviewed minutes.
- Prepare and review a translation, and know that a safety translation is validated by a person who speaks that language.
Syllabus
- Voice and language on the shop floor · 15 min
- Dictating in noise · 20 min
- Transcribing a meeting · 25 min
- Translating for operators · 30 min
- Pair practice: voice notes, meeting and instruction · 20 min
H-LUP · Workshop · AI tools
Visual work instructions and one-point lessons with AI
For quality, maintenance and anyone who trains on the shop floor: going from a video, some photos or an expert's notes to a clear work instruction or one-point lesson, in several languages too. With validation at the workstation and a single current copy.
Duration4 h
Who it's forQuality, maintenance and in-house training
FormatAt your plant or live online
OutcomeA new instruction and its one-point lesson
What you will be able to do
- Choose between a work instruction, a one-point lesson or a procedure.
- Capture the work at a workstation with permission and ask AI for a draft with no made-up data.
- Take and annotate real photos of each step, never generated images.
- Translate with a glossary and check the translation.
- Validate the instruction with the person who does the job and give it a version.
Syllabus
- Which document is needed · 25 min
- Capturing the work · 30 min
- Writing the instruction with AI · 40 min
- Annotated photos and the one-point lesson · 40 min
- Several languages · 25 min
- Validate, version and publish · 25 min
- Pair exercise · 45 min
H-DOCS · Workshop · AI tools
An assistant built on your plant's documents
For IT, quality and documentation managers who are going to set up an assistant that answers from the plant's procedures and manuals. How it works under the hood, how to prepare the documents, who sees what and how to check that it answers well before opening it to everyone.
Duration8 h · two 4-hour sessions
Who it's forIT, quality and documentation managers
FormatAt your plant or live online
OutcomeThe pilot spec sheet and its question bank
What you will be able to do
- Understand how an assistant answers from documents and why it sometimes fails.
- Scope a pilot and prepare searchable documents, in their current version only.
- Decide permissions so that nobody sees through the assistant what they cannot see in the folder.
- Write instructions that require it to cite the source and say “not stated”.
- Approve and monitor the assistant with a question bank that has answers and sources.
Syllabus
- How an assistant works with the plant's documents · 45 min
- Pilot scope and document inventory · 40 min
- Preparing searchable documents · 60 min
- Current versions, obsolete documents and cross-references · 55 min
- Practice: the inventory of a fictitious plant · 40 min
- Permissions: who sees what · 40 min
- Instructions for the document assistant, and citations · 40 min
- The question bank: checking the answers · 70 min
- Maintenance, owner and indicators · 40 min
- The pilot plan · 40 min
H-SINCODIGO · Workshop · AI tools
No-code automations
For technicians, quality and administration staff who want to reduce repetitive work with no-code automation tools such as Power Automate, n8n or Make. With permissions, an owner, logging and nothing that acts on a machine.
Duration8 h
Who it's forTechnicians, quality and administration
FormatAt your plant or live online
OutcomeThe spec sheet for a flow ready to build
What you will be able to do
- Decide which tasks are worth automating and which are not.
- Design a flow: trigger, steps, conditions, errors and logging.
- Set up an alert when OEE drops and send quality forms to a table.
- Chain approvals and add an AI step with review by a person.
- Test, launch and maintain a flow with its owner.
Syllabus
- What gets automated and what does not · 45 min
- Anatomy of a flow: trigger, steps, conditions and errors · 60 min
- Governance: permissions, owner, logging and what is off limits · 50 min
- Case 1: an email alert when OEE drops · 85 min
- Case 2: quality forms into Excel · 60 min
- Case 3: chaining approvals · 55 min
- An AI step with human review · 60 min
- Testing, launching and maintaining · 55 min
H-LOCAL · Workshop · AI tools
Local AI: when data cannot leave the plant
For IT/OT and technical management who keep hearing “we can't upload anything to the cloud”. What the real options are, what an AI model running on your own hardware is, what it needs and how it performs, and how to decide with sound criteria.
Duration4 h
Who it's forIT/OT and technical management
FormatAt your plant or live online
OutcomeDecision sheets for three plant cases
What you will be able to do
- Tell apart the three ways out: cloud with a contract, local AI or not using it.
- Understand what an open model is and what hardware it needs, in simple terms.
- Measure how it performs against a cloud assistant with your own tests.
- Review licences, the plant network, permissions and maintenance.
- Decide with a criteria sheet and plan a pilot without overbuying.
Syllabus
- The “we can't upload anything to the cloud” objection and the three ways out · 25 min
- What an open model is · 35 min
- Hardware and performance · 40 min
- Licences, provenance, plant network and maintenance · 45 min
- When it pays off: cloud, local, a mix or nothing · 35 min
- Group exercise: three plant cases · 40 min
- A well-planned local pilot · 10 min
H-CODE · Workshop · AI tools
Coding assistants for technicians (Claude Code, Codex and similar)
For automation, IT/OT and technicians with some programming experience: writing scripts, analysing logs and building small in-house tools with a coding assistant such as Claude Code, Codex or Copilot. With backups, permissions, tests and nothing that touches a machine without review.
Duration8 h · two 4-hour sessions
Who it's forAutomation, IT/OT and technicians with some programming experience
FormatAt your plant or live online
OutcomeThe plan for your tool
What you will be able to do
- Give the assistant a task and review its plan before the code.
- Work with copies and git to save every step and roll back.
- Review what changes and ask for tests with a known result.
- Keep passwords and keys out of the code.
- Take a tool towards the shop floor only with review, backup, testing and a person in charge.
Syllabus
- An assistant that programs in your folder · 40 min
- Folder, git and permissions · 60 min
- Giving it a task · 50 min
- Practice: the alarm log · 90 min
- Reviewing what changes · 45 min
- Tests with a known result · 45 min
- Secrets and data · 30 min
- From the tool to the machine · 40 min
- Practice: a complete tool · 60 min
- The plan for your tool · 10 min
H-PYTHON · Workshop · AI tools
Basic Python for plant engineers, with AI as co-pilot
For process, quality and maintenance engineers who are not programmers: analysing SCADA exports with Python, with AI as a co-pilot that writes and explains each step. You understand it, run it and check it.
Duration16 h · four 4-hour sessions
Who it's forProcess engineering, quality and maintenance
FormatAt your plant or live online
OutcomeYour own scripts and a checked finding
What you will be able to do
- Read and check a SCADA export.
- Clean data without making anything up: duplicates, gaps and impossible values.
- Group by hour, shift, day and batch, and join several sources.
- Make readable charts and calculate Cpk, MTBF and MTTR.
- Leave scripts that rerun by themselves every week.
Syllabus
- Why Python, with AI as co-pilot · 45 min
- The environment and the first lines · 50 min
- Reading the SCADA CSV · 80 min
- The first chart · 65 min
- Diagnosing the file · 40 min
- Cleaning with pandas · 80 min
- Dates, shifts and grouping · 70 min
- Combining files and joining sources · 50 min
- Charts that can be read · 60 min
- Basic statistics with pandas · 50 min
- Cpk in Python · 80 min
- Functions and scripts that last · 50 min
- MTBF and MTTR from SCADA · 70 min
- A report that rebuilds itself · 45 min
- Asking for and checking the code · 35 min
- Final exercise: the file from a new SCADA · 80 min
A-MANUALES · Workshop · Automation and maintenance
Using equipment manuals with AI: alarms on drives, robots and cameras
For maintenance and electromechanical technicians: a library of the official manuals for your equipment and an assistant that explains an alarm, its probable causes and what to check, with the page to verify it. Each pair solves three alarms with the manual of a piece of equipment from their plant.
Duration4 h
Who it's forMaintenance and electromechanical technicians
FormatAt your plant or live online
OutcomeThree alarms solved and a manuals library
What you will be able to do
- Build a library of manuals for the exact model and version.
- Ask well when an alarm appears and request checks from the safest to the most complex.
- Solve alarms on drives, robots, cameras, servo motors and PLCs.
- Check every answer on the page of the manual it cites.
- Work safely: lockout/tagout and safety functions that are never touched.
Syllabus
- Why manuals are the best use of AI in maintenance · 20 min
- Your manuals library · 30 min
- How to ask when an alarm appears · 35 min
- Step-by-step cases: drive, robot, vision, servo motor and PLC · 60 min
- Parameters, translations and procedures from the manual · 35 min
- Verification and safety · 20 min
- Exercise: three alarms with their manual · 30 min
A-ESQUEMAS · Workshop · Automation and maintenance
Interpreting electrical schematics with AI
For electricians and maintenance technicians: using an AI assistant to read machine electrical schematics, locate components across sheets, trace a signal and prepare a measurement plan. Always checking against the original schematic and on the machine.
Duration4 h
Who it's forElectricians and maintenance technicians
FormatAt your plant or live online
OutcomeFinal test and verifiable certificate
What you will be able to do
- Read a machine schematic: components, sheets, cross-references and terminals.
- Know what AI does well with a schematic and where it goes wrong.
- Ask it to explain a circuit, trace a signal or prepare a measurement plan.
- Check everything against the original schematic and on the machine.
- Work with electrical safety and protect the confidentiality of schematics.
Syllabus
- How to read a machine schematic · 55 min
- AI and the schematic: what it can do, what it can't and how to prepare the query · 35 min
- The six requests, case by case · 65 min
- Electrical safety and confidentiality · 25 min
- Exercise: the pump that won't start · 50 min
A-PLC · Workshop · Automation and maintenance
Reading, explaining and changing a PLC program with AI
For automation and maintenance technicians who inherit undocumented programs: asking an assistant to explain the machine, its sequence, its inputs and outputs and its alarms, and proposing changes with their impact analysis. Safety functions are never touched.
Duration8 h · two 4-hour sessions
Who it's forAutomation and maintenance technicians
FormatAt your plant or live online
OutcomeA machine document and a planned change
What you will be able to do
- Recognise the parts of a PLC program and its languages.
- Export a program to text without the confidential parts.
- Have AI explain the machine, and check it against the machine and with the technician.
- Propose changes with their impact analysis.
- Take a change to the machine through a safe workflow: backup, review, test and a person in charge.
Syllabus
- IEC 61131-3 languages and program structure · 50 min
- Getting the program into text without the confidential parts · 40 min
- AI explains the machine: five requests · 100 min
- Checking against the machine, the document and the assignment · 50 min
- Proposing changes and asking for the impact analysis · 75 min
- Commenting, documenting and converting between languages · 40 min
- Code for technicians with exported projects · 30 min
- The safe workflow and what is never done with AI · 35 min
- Final exercise: the case packer program · 50 min
A-DATOS · Workshop · Automation and maintenance
PLC and SCADA: where the data comes from
For automation technicians, IT and technical managers who get asked for “the line data”. Without clean data there is no AI on the shop floor, and clean data is prepared at the source: from the sensor to the PLC, to the historian and to the AI, without stopping the line or putting the machine at risk.
Duration8 h · two 4-hour sessions
Who it's forAutomation technicians, IT and technical managers
FormatAt your plant or live online
OutcomeSignal list and extraction plan for a pilot
What you will be able to do
- Follow the path of a data point from the sensor to the AI and know who is responsible for each stage.
- Read PLC tags as a data source.
- Document a signal list with unit, range, frequency and owner.
- Choose how to read the data: historian, OPC UA, MQTT or gateways.
- Extract data from a running line in read-only mode, without touching the program.
Syllabus
- Without clean data there is no plant AI: the path of a data point · 30 min
- PLC tags and data types · 60 min
- The signal list · 60 min
- How they are read: OPC UA, MQTT and other routes · 70 min
- Preparing the assignment: twenty signals from one of your machines · 20 min
- Historians, frequency and sampling · 70 min
- Practice: the historian extract · 55 min
- Extracting data without stopping or endangering the machine · 60 min
- Final exercise: signal list and extraction plan · 35 min
- From data to AI: what to have in place before a pilot · 10 min
A-IOT · Workshop · Automation and maintenance
Sensors and IoT for legacy machines
For maintenance and engineering: bringing predictive maintenance to older lines with vibration, temperature, current and consumption sensors, without touching the PLC. Which machine to fit with sensors first, which sensor for each failure and how to install it safely.
Duration8 h · two 4-hour sessions
Who it's forMaintenance and engineering
FormatAt your plant or live online
OutcomeSensor plan for your first machine
What you will be able to do
- Choose, with clear criteria, which machines without data to fit with sensors first.
- Pick the right sensor for each failure.
- Plan the installation safely and with qualified staff.
- Get the data onto a screen with alerts that someone acts on.
- Maintain the sensors and look after the network and cybersecurity.
Syllabus
- Machines without data: where to start · 40 min
- What each sensor measures · 60 min
- Installing it safely · 60 min
- Practice: what to fit with sensors on an older line · 80 min
- Gateways and communications · 60 min
- Dashboards and alerts · 50 min
- Batteries and sensor maintenance · 60 min
- Network, cybersecurity and your plan · 60 min
A-EDGE · Workshop · Automation and maintenance
Edge computing for the line
For IT/OT and engineering staff who decide where an inspection or a model runs: next to the machine, on the plant server or in the cloud. Response times, what happens if the network goes down, the hardware in an industrial environment and its security.
Duration4 h
Who it's forIT/OT and engineering
FormatAt your plant or live online
OutcomeDecision sheets for four plant cases
What you will be able to do
- Split the work between the machine, the plant server and the cloud.
- Calculate the response time from camera to ejector using the worst case.
- Design what happens if the network or the hardware fails.
- Choose, protect and update the hardware next to the line.
- Decide where each thing runs with a criteria sheet.
Syllabus
- Edge, plant server and cloud: what goes in each layer · 30 min
- Latency and response time: from the camera to the ejector · 40 min
- If the network goes down: island mode, store and forward, and heartbeat · 30 min
- The hardware on the shop floor: environment, health, updates and spares · 35 min
- Cybersecurity, remote access, backups and a person in charge · 40 min
- Deciding where it runs: sheet and four cases · 45 min
- Before going live: the start-up checklist · 10 min
A-MES · Workshop · Automation and maintenance
MES: what it is, what it isn't and when you need one
For management, production and IT staff who have to decide whether their plant needs an MES. What it solves and what it doesn't, compared with an OEE dashboard or a spreadsheet, what it takes to maintain and where to start.
Duration4 h
Who it's forManagement, production and IT
FormatAt your plant or live online
OutcomeA decision sheet for your plant
What you will be able to do
- Explain what an MES is and what it isn't.
- Place it between the ERP and control, with an owner for each piece of data.
- Tell when an MES is needed and when a dashboard is enough.
- Plan a right-sized first step and know where AI fits in.
- Ask a supplier the necessary questions.
Syllabus
- What an MES is and what it isn't · 25 min
- ERP, MES and control: the levels · 25 min
- MES, dashboard or spreadsheet? · 40 min
- What maintaining an MES involves · 30 min
- Where to start and where AI fits in · 35 min
- Questions for a supplier · 20 min
- Exercise: three plants, three decisions · 45 min
- Roadmap and summary · 10 min
A-GEMELO · Workshop · Automation and maintenance
Digital twins: reality and expectations
For management and engineering: knowing what you are buying when someone offers you a “digital twin”. What it really is, which line simulations pay off, what data they need and ten questions to avoid unfounded investments.
Duration2 h
Who it's forManagement and engineering
FormatAt your plant or live online
OutcomeA reasoned decision on a proposal
What you will be able to do
- Define a digital twin by its model, its data and how it is updated.
- Tell apart a presentation 3D model, a line simulation and a process model.
- Read and validate the result of a simulation.
- Recognise marketing signals and assess a proposal with ten questions.
Syllabus
- What a digital twin really is · 20 min
- The three types: 3D, line simulation and process model · 20 min
- The line simulations that pay off, and their data · 15 min
- Reading and validating a simulation: two machines and a buffer · 15 min
- When it's marketing: warning signs, the machine and the ten questions · 25 min
- The full case: assessing a digital twin proposal · 15 min
A-MAQUINAS · Workshop · Automation and maintenance
Machinery Regulation and components with AI
For engineering, technical office and health and safety staff: what changes under the new Machinery Regulation (EU) 2023/1230 when a cell includes vision, cobots or AI. With the official text in front of you and an AI assistant as a helper to organise questions, never to decide. For information only, not legal advice.
Duration4 h
Who it's forEngineering, technical office and health and safety
FormatAt your plant or live online
OutcomeA question sheet for your cell
What you will be able to do
- Understand the move from the Machinery Directive to the new Regulation and read the official text.
- Tell apart AI used for quality from AI that performs a safety function.
- Recognise when a change, including a software change, may be a substantial modification.
- Review the risk assessment of a cell to which a camera is added.
- Know what goes into the technical file for an assembly of machinery.
Syllabus
- From the Directive to the Regulation · 30 min
- Machinery with AI, vision and cobots · 40 min
- Substantial modification · 35 min
- The cell's risk assessment · 45 min
- Technical file and CE marking of the cell · 35 min
- And the AI Act · 10 min
- Exercise: the cell with a camera · 35 min
V-BASE · Workshop · Machine vision
Machine vision from scratch: camera, optics and lighting
The foundation course in machine vision, for technicians, quality and engineering staff starting from zero, with a camera set up in the classroom. It ends with the specification of a real inspection need in your plant.
Duration8 h
Who it's forTechnicians, quality and engineering staff new to machine vision
FormatAt your plant or live online
OutcomeAn inspection specification sheet
What you will be able to do
- Explain the parts of a vision system and how they work together.
- Calculate the field of view and the pixels per millimetre.
- Choose optics, working distance and lighting according to the defect.
- Understand triggering, rejection and the signals with the PLC.
- Specify an inspection need.
Syllabus
- What an inspection is, and the parts of the system · 50 min
- Sensor, resolution and pixels per millimetre · 70 min
- Lenses, working distance, depth of field and exposure · 60 min
- Lighting: which defect each light reveals · 60 min
- Triggering and synchronisation with the line · 50 min
- Rejection, ejector verification and communication with the PLC · 60 min
- What can and cannot be inspected · 40 min
- How to specify an inspection need · 80 min
V-LUZ · Workshop · Machine vision
Lighting and optics: where an inspection is won or lost
For vision technicians and quality staff: why lighting decides whether a defect can be seen, which lighting geometry each defect calls for and how to deal with difficult packaging. With packaging cases and their before and after.
Duration4 h
Who it's forVision technicians, quality and maintenance
FormatAt your plant or live online
OutcomeA spec sheet for one inspection point on your line
What you will be able to do
- Choose the right lighting for each defect and type of pack.
- Gain contrast with colour, filters, infrared, ultraviolet and polarisation.
- Deal with glossy, transparent and metallised film, and glass.
- Calculate the exposure for a given line speed.
- Choose and adjust the optics, and maintain the lighting.
Syllabus
- Why lighting rules, and the seven lighting geometries · 60 min
- Colour, filters, infrared, ultraviolet and polarisation · 30 min
- Difficult packaging and ambient light · 30 min
- Exposure time, strobe and line speed · 30 min
- Lenses: focal length, distance, aperture, depth of field and telecentric lenses · 30 min
- Packaging cases: seal, date on film, fill level and cap · 30 min
- Maintaining the lighting, and the inspection point sheet · 20 min
V-METODO · Workshop · Machine vision
Classic vision or deep learning: when to use each
For deciding with sound criteria which technique each defect calls for before buying an inspection system: classic vision, deep learning or a mix. With a decision tree applied to real packaging cases and questions for the supplier.
Duration4 h
Who it's forEngineering, quality and whoever decides on an inspection
FormatAt your plant or live online
OutcomeA decision sheet for your next vision quotation
What you will be able to do
- Recognise the tools of classic vision.
- Tell apart the types of deep learning used in inspection.
- Compare what each technique needs in images, commissioning and maintenance.
- Require validation with images the model has never seen.
- Choose the technique with a decision tree and explain why.
Syllabus
- The tools of classic vision · 40 min
- Deep learning: five types and how it learns · 45 min
- What each one needs, and the total cost · 30 min
- Validate before buying and monitor afterwards · 35 min
- Hybrids, decision tree and ten packaging cases · 40 min
- Questions for a supplier · 20 min
- Team exercise and summary · 20 min
V-OCR · Workshop · Machine vision
Code reading and OCR: dates, batch numbers and DataMatrix
For quality, production and maintenance staff on lines that print dates, batch numbers and codes. Why marking fails, how it is checked with a camera, what to do when the printer fails and how to reduce false rejects without letting errors through.
Duration4 h
Who it's forQuality, production and maintenance
FormatAt your plant or live online
OutcomeFinal test and verifiable certificate
What you will be able to do
- Explain why marking fails depending on the printing technology.
- Tell OCR from OCV, and know the validation rules for dates and batch numbers.
- Recognise EAN, GS1-128, DataMatrix and QR codes and their print quality.
- Act when the printer fails: stop, segregate and record.
- Analyse the history of read rejects with an AI assistant.
Syllabus
- Why marking matters and why it fails · 30 min
- OCR, OCV and the date and batch rules · 55 min
- 1D and 2D codes and their print quality · 45 min
- When printing fails, and false rejects · 50 min
- Generative AI with the read-reject history · 35 min
- Exercise with described photos: what it is and what you would do · 15 min
V-DEFECTOS · Workshop · Machine vision
Defect library: how to build and maintain it
For quality staff, vision technicians and shift supervisors: building and maintaining a defect library that can be used to train people, to train and validate models, to agree criteria with the customer and to pass audits.
Duration4 h
Who it's forQuality, vision technicians and shift supervisors
FormatAt your plant or live online
OutcomeA defect sheet and the structure of your library
What you will be able to do
- Write a defect sheet with its limit photo and its criticality.
- Classify defects as critical, major or minor, agreed with quality and the customer.
- Capture, name and store photos in an orderly way.
- Label consistently across people and resolve borderline cases.
- Keep the challenge samples and the library up to date.
Syllabus
- What a defect library is for · 25 min
- Defect catalogue, sheet and criticality · 50 min
- Capturing, naming and storing · 40 min
- Consistent labelling and borderline cases · 30 min
- Challenge samples, validation and maintenance · 40 min
- Confidentiality, and AI for sorting photos · 25 min
- Exercise: your sheet and your folders · 20 min
V-ENTRENA · Workshop · Machine vision
Training a deep learning model with your own images
For quality and vision technicians who want to train a deep learning model with images from their plant and keep it running on the line for years. Step by step and with a real defect, from capture to the on-line trial and maintenance of the model.
Duration16 h
Who it's forQuality and vision technicians
FormatAt your plant or live online
OutcomeA model plan for a defect in your plant
What you will be able to do
- Define the defect and the objective with quality before training.
- Design the capture plan and a labelling guide.
- Split training, validation and test sets without data leakage.
- Read the metrics and choose the threshold according to the cost of each error.
- Validate with challenge samples, test in shadow mode and maintain the model.
Syllabus
- What training a model means and when it pays off · 45 min
- Defining the defect with quality · 50 min
- The capture plan · 85 min
- Capturing in an orderly and safe way · 60 min
- The labelling guide · 60 min
- Doubtful cases, who decides and double review · 50 min
- Training, validation and test without leakage · 60 min
- Your labelling guide, step by step · 70 min
- No-code and code tools · 50 min
- Data augmentation and how the model learns · 50 min
- Metrics, threshold and cost · 80 min
- Overfitting and reading a model's metrics · 60 min
- Validation with challenge samples · 50 min
- The shadow-mode trial on the line · 60 min
- Model maintenance: drift, retraining and versions · 70 min
- The model plan for your plant · 50 min
V-MEDIR · Workshop · Machine vision
Measuring with vision: calibration and repeatability
For quality and engineering staff who need to trust the measurements a camera gives: resolution, calibration, repeatability and daily verification. With packaging examples.
Duration8 h
Who it's forQuality and process engineering
FormatAt your plant or live online
OutcomeA resolution calculation and daily verification for your measurement
What you will be able to do
- Tell inspecting apart from measuring.
- Calculate millimetres per pixel and know what to expect from sub-pixel accuracy.
- Understand calibration and what makes a measurement drift.
- Organise and read a repeatability and reproducibility (R&R) study.
- Design daily verification with a reference part.
Syllabus
- Measuring is not inspecting · 45 min
- Resolution, pixel and sub-pixel · 70 min
- Calibration: target, distortion, perspective and telecentric lenses · 75 min
- What moves the measurement: temperature, vibration, position and light · 50 min
- Repeatability, reproducibility and the R&R study · 80 min
- Uncertainty and tolerances · 45 min
- Verification with a reference part, records and when not to use vision · 55 min
- Final exercise: your resolution and your daily verification · 50 min
V-3D · Workshop · Machine vision
3D and hyperspectral vision: what is possible today
A decision-making session for R&D, quality, engineering and technical management: what 3D, hyperspectral and thermal vision can do today, and where they fall short. Always starting by checking whether a standard camera is enough.
Duration2 h
Who it's forR&D, quality, engineering and technical management
FormatAt your plant or live online
OutcomeSupplier questions applied to one of your own defects
What you will be able to do
- Tell apart the 3D technologies and where each one fits.
- Know the limits of 3D: reflections, transparent materials and speed.
- Know what multispectral and hyperspectral vision add.
- Place thermal vision in seal inspection, and know when X-ray is needed.
- Plan a feasibility test and the questions for a supplier.
Syllabus
- Beyond the flat image · 15 min
- The four 3D technologies · 25 min
- 3D in packaging and food · 20 min
- Spectral, thermal and X-ray · 25 min
- Deciding: exercise, feasibility and supplier · 25 min
V-TECNICO · Workshop · Machine vision
The plant's vision technician: maintaining inspection
For maintenance and line technicians who look after the vision systems already installed: the daily routine, what to do when rejects rise, format changeovers, backups and when to call TIVOX. It ends with the inspection care plan for your line.
Duration8 h · two 4-hour sessions
Who it's forMaintenance and line technicians who look after vision systems
FormatAt your plant or live online
OutcomeAn inspection care plan for your line
What you will be able to do
- Explain how inspection works on your line.
- Carry out the care routine and run challenge samples at shift start.
- Diagnose a rise in rejects starting from the photos.
- Change format with the existing recipes and keep backups.
- Escalate in time and work safely in the ejector area.
Syllabus
- How your inspection works · 50 min
- The routine: checks, cleaning and challenge samples · 60 min
- When rejects rise: the diagnosis tree · 80 min
- False rejects, escapes, threshold and bypass · 50 min
- Format changeover, backups and restore · 60 min
- Incident log and AI assistant · 70 min
- When to call TIVOX, and safety in the inspection area · 50 min
- The care plan for your inspection · 50 min
V-SENTINEL · Workshop · Machine vision
TIVOX Sentinel PLUS power user
For plants already working with TIVOX Sentinel PLUS: reading the live screen, interpreting each reject, making the most of the reports and making format and threshold changes with control and a record.
Duration4 h
Who it's forQuality, shift supervisors and technicians who use Sentinel PLUS
FormatAt your plant or live online
OutcomeFinal test and verifiable certificate
What you will be able to do
- Find your way around the screens and user profiles.
- Read the score, the OK range and the threshold for each tool.
- Interpret a reject and find it in the gallery.
- Make the most of the reports and export the production log.
- Change format and threshold with control, and send a complete incident report.
Syllabus
- What Sentinel PLUS is and how it is organised · 25 min
- Reading the live screen · 35 min
- Interpreting a reject and finding it in the gallery · 50 min
- Reports and statistics · 40 min
- Exporting and analysing the data · 20 min
- Alerts and alarms · 15 min
- Format changes, thresholds and BYPASS with a record · 30 min
- Incidents: what to send TIVOX · 15 min
D-CALIDAD · Workshop · Data and maintenance
Why AI projects fail on the shop floor: data quality
For IT/OT, engineering and technical management, based on what we see in every project: why so many AI pilots on the shop floor never get past the demo stage. The typical problems with plant data, how to spot them and how to fix them before buying anything.
Duration2 h
Who it's forIT/OT, engineering and technical management
FormatAt your plant or live online
OutcomeA diagnosis of two files from one line
What you will be able to do
- Explain why the bottleneck is usually in the data, not the model.
- Recognise the typical problems: clocks, names, units, gaps and data with no owner.
- Carry out a data diagnosis methodically.
- Decide when to start a pilot and what to ask a supplier.
Syllabus
- The pilot that delivered no results · 15 min
- The seven problems with plant data · 35 min
- Diagnose before you buy · 30 min
- Exercise: find the problems · 20 min
- Preparing the data, and when to start a pilot · 10 min
D-OEE · Workshop · Data and maintenance
OEE calculated properly: definitions, micro-stoppages and pitfalls
For shift supervisors, team leaders and continuous improvement staff: what counts as a stoppage, which speed to use, how to measure micro-stoppages and how OEE gets distorted without anyone realising. Goes deeper into the Level 2 Production track.
Duration4 h
Who it's forProduction and continuous improvement
FormatAt your plant or live online
OutcomeAn OEE definition sheet and its calculation
What you will be able to do
- Build OEE from the time breakdown.
- Decide what counts as a stoppage and write it on a sheet.
- Choose the nominal speed and the counting point.
- Recognise the pitfalls that inflate OEE.
- Recalculate OEE with an assistant and check it by hand.
Syllabus
- OEE under the hood: times, losses and TEEP · 30 min
- What counts as a stoppage · 35 min
- Nominal speed and counting point · 30 min
- Micro-stoppages: measuring them without fooling yourself · 35 min
- How OEE gets distorted without anyone realising · 35 min
- Practice: from the official figure to the properly calculated one · 50 min
- The definition sheet, AI and decisions · 15 min
D-CUADRO · Workshop · Data and maintenance
Line dashboard: OEE, stoppages and rejects with the help of AI
For engineering, IT and supervisors who have to build a line dashboard: which indicators to show, to whom and how often, where the data comes from and how to ask AI for queries and formulas and review them.
Duration8 h · two 4-hour sessions
Who it's forEngineering, IT and supervisors
FormatAt your plant or live online
OutcomeA dashboard sketch and a pilot plan
What you will be able to do
- Decide which indicators a dashboard shows and for whom.
- Define each indicator with its sheet: formula, source and owner.
- Join data sources and fix the typical errors.
- Design screens that can be read at a glance.
- Review the AI's queries and set up alerts that get acted on.
Syllabus
- What a dashboard is for, who it is for and how often · 45 min
- Well-defined indicators: the sheet, OEE, stoppages and rejects · 60 min
- The data: sources, how they are joined and what spoils them · 60 min
- Practice: a line's Pareto and OEE with an assistant · 75 min
- Design that can be read at a glance · 60 min
- AI writes queries and formulas; you review them · 75 min
- Alerts that get acted on · 45 min
- Launching and maintaining the dashboard · 50 min
D-INFORMES · Workshop · Data and maintenance
Automatic reports with an AI analyst
For supervisors and management: how a weekly line report that explains what happened and why is generated, and above all how to review it before sending it. You see the TIVOX Sentinel PLUS AI analyst at work.
Duration2 h
Who it's forSupervisors and management
FormatAt your plant or live online
OutcomeA review checklist for each week's report
What you will be able to do
- Tell apart data, hypotheses and made-up content in a report.
- Check in five minutes that the figures add up.
- Write causes as hypotheses and actions with an owner.
- Ask an approved assistant for the report and review it with a checklist.
Syllabus
- From data to report · 15 min
- The TIVOX AI analyst at work · 25 min
- Review before sending · 30 min
- The report with an approved assistant · 20 min
- Practice, and the checklist before sending · 20 min
D-GMAO · Workshop · Data and maintenance
CMMS history with AI
For maintenance: making the most of the work order history you already have in your CMMS. Classifying free-text work orders with AI, reviewing the result methodically and getting the real breakdown Pareto, MTBF and MTTR.
Duration4 h
Who it's forMaintenance
FormatAt your plant or live online
OutcomeThe real breakdown Pareto with its MTBF and MTTR
What you will be able to do
- Prepare and upload the history safely.
- Set a closed list of equipment and causes.
- Classify free-text work orders with AI and review what it classifies.
- Calculate the real Pareto, MTBF and MTTR with clean data.
- Write better work orders from the next day on.
Syllabus
- The history you already have · 25 min
- Preparing and uploading the history · 20 min
- Equipment and causes: the closed list · 35 min
- Classifying with AI · 40 min
- Reviewing what the AI classifies · 35 min
- Real Pareto, MTBF and MTTR with clean data · 50 min
- Writing better work orders from tomorrow · 25 min
D-VIBRA · Workshop · Data and maintenance
Vibration for predictive maintenance: the basics
For maintenance technicians: the first real step towards predictive maintenance. What a vibration sensor measures, where it is mounted, how to read trends and simple spectra, and how AI helps to monitor them.
Duration8 h · two 4-hour sessions
Who it's forMaintenance technicians
FormatAt your plant or live online
OutcomeA monitoring plan for two critical machines
What you will be able to do
- Understand what a vibration sensor measures.
- Mount the sensor reliably and safely.
- Read levels and trends against each machine's baseline.
- Recognise the signatures of imbalance, misalignment, looseness and bearings.
- Prepare a monitoring plan for two critical machines.
Syllabus
- Why a machine vibrates · 40 min
- The sensor and how to mount it safely · 60 min
- Levels and trends · 60 min
- Practice: trends from five machines with an assistant · 80 min
- The spectrum without the maths · 50 min
- Imbalance, misalignment and looseness · 60 min
- Bearings · 50 min
- AI doing the monitoring, and your monitoring plan · 70 min
D-ANOMALIAS · Workshop · Data and maintenance
Anomaly detection in machine signals
For maintenance and process engineers who want alerts that come in time and that someone actually looks at. Using signals that almost every machine already measures, such as current, temperature, pressure and cycle times.
Duration8 h
Who it's forMaintenance and process engineers
FormatAt your plant or live online
OutcomeAn alert rule sheet for a critical asset
What you will be able to do
- Explain why a predictive system fails more often from too many alerts than from too few.
- Prepare a signal with its context: machine state, format and shift.
- Set fixed and dynamic thresholds that do not generate false alarms.
- Design clear alerts, with a recipient and a response.
- Measure whether the system is useful and adjust it.
Syllabus
- The alert nobody looks at · 40 min
- Signals and their context · 50 min
- Fixed and dynamic thresholds · 75 min
- Product, shift and what changes on its own · 75 min
- Simple models that can be explained · 70 min
- Designing the alert: fewer and better · 60 min
- Is the system useful? Logging and indicators · 50 min
- Final exercise: your signal, your rule, your alert · 50 min
D-MERMAS · Workshop · Data and maintenance
Overfilling and product loss with weighing data
For production and quality staff at food plants that fill by weight: using checkweigher data to measure the product given away, find where it is lost and adjust filling with sound criteria.
Duration4 h
Who it's forProduction and quality in food plants
FormatAt your plant or live online
OutcomeWhere the product is lost and what to do first
What you will be able to do
- Explain product giveaway and the general framework for prepackaged goods control.
- Prepare the checkweigher data.
- Measure giveaway with the mean, the standard deviation and the percentage below nominal.
- Detect drift by filling head and by shift.
- Analyse it with an AI assistant and check every figure.
Syllabus
- Product giveaway and its framework · 30 min
- The checkweigher data · 35 min
- Measuring giveaway · 40 min
- Drift by filling head and shift · 45 min
- AI to analyse it · 20 min
- Pair exercise: where the product is lost · 50 min
- The savings for management, and the plan · 10 min
M-8D · Workshop · Continuous improvement and energy
8D, 5 Whys and Ishikawa with AI as co-pilot
For quality, production and maintenance: solving a complaint or a recurring breakdown with the 8D method, with AI as a co-pilot that asks questions, organises and drafts. The root cause is decided by the team, not by the AI.
Duration4 h
Who it's forQuality
FormatAt your plant or live online
OutcomeThe 8D for a complete case
What you will be able to do
- Describe a problem, separating facts from assumptions.
- Contain the problem and set the scope of containment.
- Build an Ishikawa diagram and five whys with evidence at each step.
- Choose strong actions and verify their effectiveness.
- Draft the 8D and the reply to the customer with AI, reviewed by a person.
Syllabus
- The 8D and its co-pilot · 25 min
- D0–D2: describing the problem · 35 min
- D3: containment · 25 min
- D4: Ishikawa with data · 40 min
- D4: five whys done properly · 35 min
- D5–D7: actions and effectiveness · 35 min
- D8: drafting and closing · 35 min
M-ESTAD · Workshop · Continuous improvement and energy
Plant statistics with AI: SPC, capability, measurement and basic Six Sigma
For quality and process engineering: control charts, out-of-control rules, capability and basic Six Sigma, with a practical approach. AI does the maths, and you check and decide.
Duration8 h · two 4-hour sessions
Who it's forQuality and process engineering
FormatAt your plant or live online
OutcomeFinal test and verifiable certificate
What you will be able to do
- Tell common-cause from special-cause variation.
- Choose and calculate the right control chart.
- Apply out-of-control rules and a reaction plan.
- Calculate and interpret Cp, Cpk, Pp and Ppk.
- Check by hand the calculations the AI does.
Syllabus
- From the bell curve to the control chart · 45 min
- The X-R chart · 75 min
- Choosing the chart: I-MR and p · 60 min
- Out-of-control rules, false alarms and reaction · 60 min
- Capability: Cp, Cpk, Pp and Ppk · 60 min
- The measurement system · 35 min
- Basic Six Sigma: DMAIC, belts and sigma level · 55 min
- Asking AI for the calculations and checking them · 30 min
- Final exercise: the capper · 50 min
M-LEAN · Workshop · Continuous improvement and energy
Lean with AI: waste, measured with data
For production supervisors and continuous improvement staff who already know lean: the familiar wastes, measured with line data, video and AI. It ends with the value stream map of your line and your first A3.
Duration8 h · two 4-hour sessions
Who it's forProduction and continuous improvement
FormatAt your plant or live online
OutcomeA value stream map of your line and your first A3
What you will be able to do
- Recognise the eight wastes on a packaging line.
- Know where the data for each waste comes from.
- Find the bottleneck and put a time on the stock.
- Draw the value stream map with data.
- Turn what you have measured into 5S, visual management and an A3.
Syllabus
- The eight wastes, with real examples · 45 min
- The data for each waste · 45 min
- Value stream mapping with data · 60 min
- Practice 1: waiting, bottleneck and stock · 90 min
- Transport, motion and video · 50 min
- Rework, overproduction, inventory and talent · 40 min
- Practice 2: mapping a line with data · 70 min
- 5S, visual management and standard work · 45 min
- From waste to plan: the A3 and the role of AI · 25 min
M-KAIZEN · Workshop · Continuous improvement and energy
One-day kaizen on your line
A full day at your plant for supervisors, engineering and key operators: one team, one line, one problem and that week's data, to come away with improvements made on the day. AI helps with the data and the minutes; the team decides.
Duration8 h · one full day
Who it's forProduction and continuous improvement
FormatAt your plant
OutcomeThe kaizen A3 sheet and a 30-day list
What you will be able to do
- Prepare a one-day kaizen and choose a problem that fits into the day.
- Define the problem with data and a baseline.
- Go to the line to see and count, and check the causes.
- Trial improvements safely and measure before and after.
- Standardise and present the result to management on an A3 sheet.
Syllabus
- Preparing the day and getting started: the problem, the team, the rules and safety · 40 min
- The problem with data: stratification, problem statement, baseline and traffic light · 60 min
- Gemba: going to see, counting by hand and observing without risk · 70 min
- Causes: Ishikawa, five whys and checking on the line · 60 min
- Ideas and choice: impact, effort and what is not done today · 40 min
- Trialling on the line safely: plan, lockout, cycles and the minutes · 90 min
- Measuring before and after: the same measurement criteria and the 30-day result · 45 min
- Standardising: the standard, the visual aid and the 30-day list · 35 min
- Presenting to management: the A3 sheet, the AI draft and the ten minutes · 30 min
M-SMED · Workshop · Continuous improvement and energy
SMED with video and AI
For production and maintenance: reducing format changeover time by filming the changeover with permission and using AI to turn the video into a timed list of tasks. Then separate, simplify and standardise.
Duration4 h
Who it's forProduction and maintenance
FormatAt your plant or live online
OutcomeA changeover sheet and an improvement plan
What you will be able to do
- Measure a format changeover from start to finish.
- Film a changeover with permission and respect for privacy.
- Turn the video into a task list with the help of AI.
- Separate internal and external tasks and simplify the changeover.
- Change over safely and standardise with a changeover sheet.
Syllabus
- The format changeover, measured · 20 min
- Filming the changeover: permissions, privacy and cameras · 35 min
- AI separates tasks and measures times · 35 min
- Internal, external and converting · 30 min
- Simplifying and redesigning in two phases · 30 min
- Safety during changeovers · 20 min
- Standardising and sustaining · 15 min
- Practice: a complete format changeover · 45 min
M-TPM · Workshop · Continuous improvement and energy
Autonomous maintenance (TPM) with AI
For operators and maintenance technicians: starting autonomous maintenance on one machine, with AI as a helper for writing and organising. Safety comes first.
Duration4 h
Who it's forOperators and maintenance
FormatAt your plant or live online
OutcomeThe model machine and the date of its initial cleaning
What you will be able to do
- Know what an operator can and cannot do, with lockout/tagout.
- Organise a safe initial cleaning.
- Write cleaning, lubrication and inspection standards.
- Create checklists with photos and one-point lessons.
- Put everything on the operator's phone while protecting the data.
Syllabus
- Autonomous maintenance · 25 min
- Safety first · 35 min
- Initial cleaning and sources of dirt · 30 min
- Cleaning, lubrication and inspection standards · 35 min
- Checklists with photos · 35 min
- One-point lessons and anomaly tags · 45 min
- On the operator's phone · 25 min
E-ENERGIA · Workshop · Continuous improvement and energy
Energy per unit produced
For maintenance, energy managers and technical management: measuring electricity consumption by line and by format and turning it into an indicator for decision-making, kWh per unit produced. No promised savings figures: you learn to measure.
Duration4 h
Who it's forMaintenance, energy and technical management
FormatAt your plant or live online
OutcomekWh per unit for your lines and a report for management
What you will be able to do
- Read a load curve and tell power from energy.
- Decide what to measure first and install meters safely.
- Calculate kWh per unit by line and by format.
- Find what is consumed without producing.
- Build a simple baseline and explain it to management.
Syllabus
- Why measure energy per unit · 25 min
- Measuring: analysers, sub-metering and safety · 40 min
- kWh per unit and per format · 35 min
- What is consumed without producing · 35 min
- The consumption baseline · 30 min
- Practice: one week, two lines · 50 min
- AI: anomalies, a report and an immediate action plan · 15 min
E-AIRE · Workshop · Continuous improvement and energy
Compressed air: leaks and consumption with sensors
For maintenance, on one of the biggest energy losses on a line: compressed air. What to measure, how to find and prioritise leaks, and how to monitor the compressor with data.
Duration4 h
Who it's forMaintenance technicians and managers
FormatAt your plant or live online
OutcomeA prioritised leak list and three actions
What you will be able to do
- Explain how a compressed air network works and where air is lost.
- Choose what to measure and install it safely.
- Measure, locate and organise leaks.
- Monitor the compressors and network pressure with data.
- Prioritise the leak list with an AI assistant.
Syllabus
- Inside the air network · 30 min
- Measuring flow and pressure, safely · 35 min
- Finding the leaks · 40 min
- Monitoring the compressor with data · 35 min
- Misuse of compressed air · 25 min
- AI analyses and prioritises · 20 min
- Practice: two weeks in the compressor room · 45 min
P-OPERARIO · Workshop · AI by job role
AI for line operators
For machine and line operators, at the machine and in plain language: using the company-approved assistant to find a step in an instruction, follow a format changeover and understand an alarm. And, above all, when not to trust the answer.
Duration2 h
Who it's forMachine and line operators
FormatAt your plant, at the machine
OutcomeFinal test and verifiable certificate
What you will be able to do
- Use the approved assistant from the line's tablet or phone.
- Ask well: machine, what is happening, what the screen says and what you want to know.
- Follow a format changeover without skipping anything.
- Notice when the assistant makes up an answer.
- Always respect what is not done with AI, and report properly to the shift supervisor.
Syllabus
- The assistant in your pocket · 15 min
- Asking well at the machine · 20 min
- The instruction and the format changeover · 25 min
- What does this alarm mean? · 20 min
- When not to trust the answer · 20 min
- Practice at the machine · 10 min
P-TURNO · Workshop · AI by job role
AI for shift supervisors: handover, shift report and the 5-minute meeting
For shift supervisors and team leaders: using AI in everyday work without losing what matters between shifts. From voice notes to the handover report, the review before signing and the five-minute meeting.
Duration4 h
Who it's forShift supervisors and team leaders
FormatAt your plant or live online
OutcomeA reviewed shift handover report
What you will be able to do
- Know what must never be missing from a handover and use a fixed template.
- Dictate voice notes that are useful during the shift.
- Turn the notes into a draft report with an assistant.
- Review what the AI writes before signing.
- Summarise the shift's stoppages and run the daily meeting.
Syllabus
- The handover that gets lost · 25 min
- What must never be missing · 30 min
- From voice notes to the report · 50 min
- Reviewing what the AI writes · 40 min
- Shift stoppages and the 5-minute meeting · 40 min
- Practice and the plan for tomorrow · 45 min
P-MANDOS · Workshop · AI by job role
Middle managers: bringing AI to the team
For supervisors, section heads and managers: presenting an AI-related change to the workforce, responding to fears, choosing champions, training on the job and measuring adoption without monitoring anyone. Without middle managers, training does not get applied.
Duration4 h
Who it's forMiddle managers
FormatAt your plant or live online
OutcomeA 90-day adoption plan for your section
What you will be able to do
- Present an AI-related change without promises or threats.
- Respond methodically to the most common fears.
- Choose champions for each shift and bring the usage rules down to section level.
- Train on the job without leaving anyone out.
- Measure adoption by team, without monitoring anyone.
Syllabus
- Your role in adoption · 20 min
- Presenting the change to the workforce · 35 min
- The fears, one by one, and workers' representatives · 50 min
- The champions · 20 min
- Usage rules and safety · 20 min
- Training on the job · 30 min
- Measuring adoption without monitoring anyone · 25 min
- Your section's adoption plan · 30 min
P-PLANIF · Workshop · AI by job role
AI for production planning
For planners and production managers: a weekly plan that can actually be met, with the help of AI. Real capacity, changeover matrix, sequencing, simple forecasts and how to review the plan the AI proposes.
Duration8 h · two 4-hour sessions
Who it's forPlanners and production managers
FormatAt your plant or live online
OutcomeA one-week plan for your line
What you will be able to do
- Calculate the real capacity of a line.
- Build a changeover matrix and sequence to reduce changeovers.
- Try out sequences with an assistant that calculates, and check them by hand.
- Make simple demand forecasts and measure their error.
- Review a plan from the AI with a checklist.
Syllabus
- The weekly plan and AI · 40 min
- Real capacity, not nominal · 50 min
- The changeover matrix · 45 min
- Practice 1: capacity and sequence for a line · 90 min
- Preparing your data · 15 min
- Simple demand forecasts · 55 min
- Batches, shelf life, materials and people · 35 min
- What to check in a plan from the AI · 45 min
- Practice 2: the AI's plan · 55 min
- Replanning, and the plan for your line · 40 min
P-COMPRAS · Workshop · AI by job role
Plant purchasing track with AI
For industrial purchasing and procurement: reading quotations without missing the small print, comparing suppliers with a like-for-like table and preparing the negotiation, with AI as a reader that compares. Quotations are anonymised and contracts are never uploaded to AI.
Duration8 h · two 4-hour sessions
Who it's forIndustrial purchasing and procurement
FormatAt your plant or live online
OutcomeA comparison table and a negotiation script
What you will be able to do
- Read a whole quotation: scope, lead time, warranty, shipping and exclusions.
- Ask AI for an extraction with citations instead of a summary.
- Build a like-for-like comparison table against your request.
- Compare technical data sheets and know who validates an equivalence.
- Approve suppliers and prepare a negotiation.
Syllabus
- Purchasing with AI, and the data traffic light · 40 min
- Reading a quotation: twelve points and five traps · 50 min
- The like-for-like comparison table · 80 min
- Technical data sheets, equivalences and safety · 70 min
- General terms and conditions of sale · 45 min
- Approving and assessing suppliers · 60 min
- Preparing the negotiation · 60 min
- Final exercise and a purchasing routine with AI · 65 min
P-COMERCIAL · Workshop · AI by job role
Technical sales track with AI: from request for quotation to follow-up
For sales staff and bid engineers at industrial companies: qualifying requests for quotation, summarising tender documents without missing anything, checking compliance without inventing capabilities, and following up. With customer confidentiality at every step.
Duration8 h · two 4-hour sessions
Who it's forSales staff and bid engineers at industrial companies
FormatAt your plant or live online
OutcomeA reviewed bid package
What you will be able to do
- Qualify a request for quotation and decide whether to bid.
- Turn tender documents into a requirements matrix.
- Find hidden requirements, contradictions and risks.
- Check compliance against your data sheet without making anything up.
- Draft the technical proposal and the follow-up emails, reviewed by a person.
Syllabus
- The technical salesperson and AI · 40 min
- Confidentiality: the traffic light in sales · 30 min
- Qualifying the request for quotation · 50 min
- Summarising the tender without missing anything: the requirements matrix · 50 min
- Hidden requirements, contradictions and risks · 70 min
- Compliance without inventing capabilities · 50 min
- Questions for the customer, and the technical proposal · 60 min
- Customer follow-up and emails · 45 min
- Final exercise: the bid package · 65 min
- Your AI routine for every bid · 10 min
P-CONSEJO · Workshop · AI by job role
Session for the board and owners
An executive session for the board of directors and owners: making sound decisions on an AI project without needing to know the technology. What to ask before approving, how to read a return on investment, and how to follow a pilot and know when to stop it.
Duration2 h
Who it's forBoard of directors and owners
FormatAt your plant or live online
OutcomeA reviewed proposal and its decision
What you will be able to do
- Understand the board's role: approve, ask, follow up and stop.
- Ask the key questions before approving an AI project.
- Read a return on a vision or OEE project with caution.
- Identify the risks and who is responsible for each one.
- Follow a pilot with a monthly report.
Syllabus
- The board's role · 15 min
- Before approving: twelve questions · 25 min
- Reading a return on a vision or OEE project · 25 min
- Risks and who is responsible · 20 min
- Following the pilot and knowing when to stop it · 10 min
- Exercise: the board decides · 15 min
R-GOBIERNO · Workshop · Regulation and governance
AI governance in the company
For management, IT and quality: bringing order to the AI already being used in the company. A one-page use policy, an inventory of uses with their owners, people in charge, training and review.
Duration4 h
Who it's forManagement, IT and quality
FormatAt your plant or live online
OutcomeFour ready-to-use templates and a 90-day plan
What you will be able to do
- Find the AI that is already being used, without monitoring anyone.
- Write a one-page AI use policy.
- Keep an inventory of uses with their risk and their owner.
- Organise training by profile, with records.
- Review uses and manage incidents.
Syllabus
- The use that already exists · 25 min
- The use policy on one page · 45 min
- The inventory of uses · 45 min
- People in charge and training · 35 min
- Periodic review and incidents · 35 min
- Workshop: a company case and the 90-day plan · 45 min
R-AIACT · Workshop · Regulation and governance
The EU AI Act for industry: beyond Article 4
For management, legal, quality and engineering: the EU AI Act seen from the point of view of those who install and use AI in a plant. Roles, risk-based classification and what to document. For information only, not legal advice.
Duration4 h
Who it's forManagement, legal, quality and engineering
FormatAt your plant or live online
OutcomeA classification sheet for AI uses
What you will be able to do
- Find your way around the Act and know what counts as an AI system.
- Tell apart the roles of provider and deployer.
- Classify a use by its risk, as a guide.
- Know what to document depending on the role.
- Plan AI literacy by role.
Syllabus
- How to read the Act · 15 min
- The roles in the chain · 35 min
- Classifying by risk · 45 min
- When the machine includes AI · 35 min
- What to document · 35 min
- AI literacy and organisation · 25 min
- Exercise: eight uses in a plant · 40 min
R-CIBER · Workshop · Regulation and governance
Basic cybersecurity on the line
For operators, technicians and supervisors, in plain language: what each person can do so that their line does not stop because of a cybersecurity problem. The most effective measures are about behaviour.
Duration2 h
Who it's forOperators, technicians and supervisors
FormatAt your plant or live online
OutcomeA five-rule poster for the line's notice board
What you will be able to do
- Know what to do with a USB stick and with a supplier's laptop.
- Look after your own password and remote access.
- Recognise an impersonation email or call, including one made with AI.
- Act correctly when an anomaly appears on a screen.
Syllabus
- The line is a computer too · 15 min
- What comes in through the door: USB sticks and laptops · 20 min
- Passwords and remote access · 20 min
- Impersonation emails and calls · 20 min
- An anomaly on a screen · 20 min
- What each person can do, and practice · 15 min
R-ALCOA · Workshop · Regulation and governance
ALCOA+ data integrity in inspection systems
For quality staff in pharma and food: ALCOA+ data integrity explained with an inspection camera on the line. Which records a camera generates and what an inspector looks at.
Duration2 h
Who it's forQuality in pharma and food
FormatAt your plant or live online
OutcomeFinal test and verifiable certificate
What you will be able to do
- Explain the ALCOA+ principles with examples from a camera.
- Recognise the records a camera generates.
- Read an audit trail and spot warning signs.
- Control users, clocks, recipe changes and bypass.
Syllabus
- A camera is a records system · 15 min
- ALCOA+ letter by letter, with the camera · 40 min
- Audit trail, recipes and bypass · 30 min
- What an inspector looks at, and exercise · 25 min
R-ANEXO22 · Workshop · Regulation and governance
Annex 22: AI in a GMP environment
For quality and validation staff in pharma and parapharmacy: the new Annex 22 of the EU GMP Guide, dedicated to artificial intelligence, applied to deep learning inspection. For information only, always with the current official text in front of you.
Duration4 h
Who it's forQuality and validation in pharma and parapharmacy
FormatAt your plant or live online
OutcomeA review of a validation file
What you will be able to do
- Place Annex 22 alongside Annex 11 and GAMP 5.
- Know which models and uses fall within its scope.
- Write the intended use and the acceptance criteria.
- Require representative and independent test data.
- Keep the model under change control and monitored in use.
Syllabus
- Where Annex 22 fits · 25 min
- Which models and uses are in scope · 30 min
- Intended use and acceptance criteria · 35 min
- Test data and independence · 35 min
- Explainability, confidence and human oversight · 30 min
- Change control and monitoring in use · 30 min
- Exercise: the file for an inspection model · 45 min
R-APPCC · Workshop · Regulation and governance
HACCP with vision: automatic control points
For food quality staff: linking the HACCP plan to the camera on the line. Which hazards a camera can monitor, which it cannot, and how to write it up as a control measure.
Duration4 h
Who it's forFood quality
FormatAt your plant or live online
OutcomeHACCP control chart rows for two cameras
What you will be able to do
- Review the principles of HACCP.
- Recognise which hazards a camera can monitor and which it cannot.
- Write a camera into the HACCP control chart as a control measure.
- Plan what happens if the camera fails.
Syllabus
- HACCP in 25 minutes · 25 min
- What a camera can monitor · 45 min
- What it doesn't see: X-ray, metal and more · 30 min
- The camera as a control measure · 50 min
- If the camera fails: plan B and records · 30 min
- Exercise: the control chart for a sauce line · 50 min
R-BRC · Workshop · Regulation and governance
BRCGS and IFS audits with AI
For food and packaging quality staff: using AI to prepare for a BRCGS or IFS audit, demonstrate that the inspection systems work and respond to non-conformities, without it deciding or making anything up.
Duration4 h
Who it's forFood and packaging quality
FormatAt your plant or live online
OutcomeAn action plan with a response template
What you will be able to do
- Know what an auditor looks for and what role AI plays.
- Prepare for the audit with a self-assessment.
- Demonstrate that the inspection works.
- Respond to a non-conformity with root cause and verification.
Syllabus
- The audit and AI · 20 min
- Preparing for the audit · 45 min
- Demonstrating that the inspection works · 50 min
- Non-conformities and root cause · 50 min
- Responding to the auditor · 25 min
- Exercise: five non-conformities · 40 min
F-CAMPEONES · Workshop · In-company formats
AI champions programme
For one or two people per area who will be the go-to people for using AI: finding the use cases in their area, looking after the prompt library, helping colleagues without doing their work for them and passing viable ideas on to management. People drive adoption, not the course.
Duration8 h · four 2-hour sessions
Who it's forOne or two people per area
FormatAt your plant or live online
OutcomeThe champion's kit
What you will be able to do
- Understand what an AI champion is and what they are not.
- Find the use cases in your area with a simple filter.
- Look after your area's prompt library.
- Help colleagues and uphold the usage rules.
- Present ideas to management and measure use without monitoring anyone.
Syllabus
- The champion in your area · 25 min
- The use cases in your area · 50 min
- Practice: your five cases · 45 min
- Your area's prompt library · 50 min
- The colleague test, the step-by-step case and where it is stored · 30 min
- Workshop: your five cards · 40 min
- Helping without doing the work · 40 min
- Rules and the traffic light at the workstation · 35 min
- Role-play: helping a colleague · 45 min
- Collecting ideas · 20 min
- The idea sheet for management · 25 min
- Practice: six ideas from a plant · 30 min
- Measuring without monitoring · 20 min
- The monthly follow-up session and the champion's kit · 15 min
F-FORMADORES · Workshop · In-company formats
Train-the-trainer for in-house trainers
For technicians and supervisors who are going to train their workforce with TIVOX Academy materials, under their company's agreement with TIVOX. Preparing the session, running the live tests, adapting the examples and handling difficult questions.
Duration8 h · two 4-hour sessions
Who it's forTechnicians and supervisors who will train their workforce
FormatAt your plant or live online
OutcomeThe in-house trainer's guide and your first block delivered
What you will be able to do
- Get to know the material and the trainer's notes.
- Prepare a session with a plan B that works without internet.
- Run the live tests methodically.
- Adapt the examples to your plant without changing the essentials.
- Assess, record attendance and deliver ten minutes of a block.
Syllabus
- The in-house trainer · 30 min
- Inside the material · 40 min
- Preparing the session · 50 min
- The live tests · 60 min
- Adapting the examples to your plant · 40 min
- Preparing your ten-minute block · 20 min
- Difficult questions and fears · 40 min
- What is not changed · 25 min
- Assessing and recording attendance · 35 min
- Scaling up: groups, shifts and plants · 25 min
- Practice: ten minutes each · 105 min
X-DIRECCION · Workshop · External audiences
Executive programme: AI strategy in operations, with a plant visit
A club-format programme for general managers and operations directors from several companies, with plenty of peer discussion. Where the value of AI in operations lies, how to manage a portfolio of use cases, and a visit to a line with AI in operation.
Duration12 h · three 4-hour sessions
Who it's forGeneral and operations management
FormatIn person, with a plant visit
OutcomeA portfolio of use cases and a 90-day plan
What you will be able to do
- Locate the value of AI in what is holding back your business.
- Build a portfolio of AI use cases with clear criteria.
- Read the return when moving from a pilot to the whole plant.
- Tell apart what operations decides from what goes to the board.
- Commit to a 90-day plan reviewed by a peer.
Syllabus
- The club, and what is taken as read · 25 min
- Where the value of AI in operations lies · 55 min
- The portfolio of AI use cases · 100 min
- Data and people · 60 min
- Four cases with numbers · 100 min
- Reading a return when scaling up · 50 min
- Risks, governance and the case for discussion · 90 min
- The visit to a line with AI in operation · 130 min
- The 90-day plan and the club's commitment · 100 min
X-JORNADA · Workshop · External audiences
Hands-on AI on the shop floor event for associations and clusters
A hands-on, open event organised by a trade association or cluster for its members, tailored to food, packaging or pharma. Use cases from the sector, live demonstrations and how to get started the next day.
Duration3 h
Who it's forMembers of trade associations and clusters
FormatAt the association's premises or live online
OutcomeA resource sheet and a 30-day plan
What you will be able to do
- Tell what AI on the shop floor is and what it isn't.
- Recognise use cases in your sector.
- See live how the answer changes depending on how you ask.
- Take the first step with an approved tool and a first measured case.
Syllabus
- What AI on the shop floor is and what it isn't · 20 min
- Use cases on the line: vision, stoppages and maintenance · 30 min
- Use cases away from the line: documents and office · 25 min
- Two demonstrations: asking well and checking · 35 min
- How to start tomorrow · 25 min
- Typical mistakes and what is non-negotiable · 15 min
- Open discussion: frequently asked questions · 20 min
X-FABRICANTES · Workshop · External audiences
Machinery manufacturers: integrating vision and AI into your machine
For engineering, product and service teams at machinery manufacturers who want their machine to leave the factory with vision and AI. Which inspection to offer, where it goes, how it integrates with your PLC and how it is accepted and maintained at the customer's site.
Duration8 h · two 4-hour sessions
Who it's forEngineering and product teams at machinery manufacturers
FormatAt your plant or live online
OutcomeA specification sheet for a vision option
What you will be able to do
- Decide which inspections to offer based on how your machine fails.
- Make the machine vision-ready from the factory.
- Specify the integration with the PLC and the ejector.
- Tell responsibilities apart and not promise what cannot be demonstrated.
- Organise acceptance, support and the customer's data.
Syllabus
- Vision as standard: why, and who is who · 40 min
- Which inspection to offer · 60 min
- Where it goes on the machine · 60 min
- Integration with your PLC · 80 min
- Responsibility and CE marking · 40 min
- Commissioning and acceptance · 35 min
- Maintenance and support at the customer's site · 40 min
- Customer data · 30 min
- Selling it and documenting it · 35 min
- Exercise: the vision option for a labeller · 50 min
X-SERVICIO · Workshop · External audiences
Manufacturers' service technicians: diagnosis with AI
For the service teams of machinery manufacturers: following with AI the real course of a breakdown, from the customer's call to the service report. With the customer's permission, without changing anything on the machine without them and protecting their data.
Duration4 h
Who it's forService teams at machinery manufacturers
FormatAt your plant or live online
OutcomeDiagnosis and report for a complete case
What you will be able to do
- Build a service assistant with manuals, bulletins and history.
- Turn a call into a symptom sheet and a guided diagnosis.
- Decide between phone, remote or a site visit.
- Use remote access with the customer's permission.
- Produce the report from voice notes and photos and review it before it is signed.
Syllabus
- A breakdown, from the call to the report · 15 min
- The service assistant · 30 min
- Guided diagnosis by phone · 40 min
- Remote diagnosis with permission · 30 min
- The report from voice notes and photos · 35 min
- The breakdown knowledge base · 30 min
- Each customer's data · 20 min
- Practice: the heat sealer, and summary · 30 min
X-FP · Workshop · External audiences
Vocational training teachers: vision, cobots and applied AI for the classroom
For vocational training teachers in automation and maintenance: machine vision, cobots and applied AI to take into the classroom with simple, low-cost practical exercises. The technicians that plants will hire come out of these classrooms.
Duration16 h · four 4-hour sessions
Who it's forVocational training teachers in automation and maintenance
FormatAt your school or college, or live online
OutcomeA practical exercise for your module and your workshop rules
What you will be able to do
- Explain machine vision in the classroom.
- Set up and assess four practical exercises with simple equipment.
- Explain what a cobot is and organise safety in the workshop.
- Design a teaching cell with vision, PLC and robot.
- Manage students' use of AI so that they learn and don't copy.
Syllabus
- What your students will find on the shop floor · 45 min
- Machine vision explained for the classroom · 60 min
- Exercise 1: counting parts with a webcam · 80 min
- Fitting it into your module · 55 min
- Applied deep learning · 50 min
- Exercise 2: classifying photos of defects · 70 min
- Exercise 3: reading a schematic with AI · 60 min
- Exercise 4: documenting a simulated PLC program · 60 min
- What a cobot is and what it isn't · 50 min
- Safety with robots in the workshop · 60 min
- Programming a robot in the simulator · 70 min
- The teaching cell: vision, PLC and robot · 60 min
- Your students and AI: learning, not copying · 60 min
- Assessing the practical exercises · 60 min
- Dual vocational training and companies · 40 min
- Your classroom plan · 70 min
X-UNIVERSIDAD · Workshop · External audiences
Seminar: industrial vision and AI on the shop floor, from the people who install it
A seminar for master's students in industrial engineering and automation, given by an integrator who designs and installs machine vision and AI on packaging lines. The real cycle of a project, what the textbooks leave out and career opportunities.
Duration4 h
Who it's forMaster's programmes in industrial engineering and automation
FormatAt your university or live online
OutcomeA complete case study
What you will be able to do
- Go through the phases of a vision and AI project.
- Turn a customer request into a specification.
- Understand integration with the PLC, and validation.
- Learn about career opportunities in the sector.
Syllabus
- The cycle of a vision and AI project · 20 min
- From request to specification · 30 min
- Feasibility: lighting, optics and method · 40 min
- Integration with the PLC and rejection · 40 min
- Validation, commissioning and maintenance · 35 min
- What the textbooks leave out · 25 min
- Career opportunities · 15 min
- Group case study · 25 min
TIVOX Academy · for your company
Which course does your team need?
Tell us who will attend and which department you are interested in. We will suggest the course, the dates and the material from your plant worth preparing.