AI TRAINING

Artificial Intelligence for Plant Engineers.

We teach your engineering team to use AI in their daily work: design of experiments, surrogate models, cognitive continuous improvement, and assisted programming.

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Industrial engineer augmented with AI — holographic visualization of plant data and models
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High-Impact Programs.

Every module was designed by industrial engineers with real plant experience. Not generic theory — direct applications to your operation.

16 hours · 4 sessions

AI-Assisted Design of Experiments

Use generative models to design more efficient industrial experiments. Optimize factors and cut the number of experimental runs.

  • AI-assisted factorial DOE
  • Parameter optimization with LLMs
  • Response surface analysis
  • A hands-on case with your plant’s data
20 hours · 5 sessions

Surrogate Models

Build digital twins of your processes with machine learning. Test scenarios without stopping the line.

  • Regression and neural networks for processes
  • Building models from historical data
  • Model validation and calibration
  • What-if scenario simulation
12 hours · 3 sessions

Cognitive Continuous Improvement

Root cause analysis powered by AI. Automatic correlations, anomaly detection, and suggested actions.

  • Root cause analysis with the Cognitive Agent
  • Automatic correlation of variables
  • Pattern and anomaly detection
  • Smart improvement reports
See the Cognitive Agent
8 hours · 2 sessions

Smart Data Collection

Data capture strategies that maximize information quality for your digital twin and your traceability.

  • Designing dynamic forms
  • Real-time data validation
  • Integration with sensors and cameras
  • Efficient sampling strategies
16 hours · 4 sessions

Vibe Coding for Engineers

Learn to program with AI assistance without being a developer. Automate tasks, build dashboards, and write analysis scripts.

  • Programming with an AI copilot
  • Production data analysis scripts
  • Report automation with Python
  • Building custom dashboards
12 hours · 3 sessions

Industrial AI Strategy

For technical leaders: how to evaluate, implement, and scale AI in manufacturing operations.

  • A roadmap for rolling out AI in the plant
  • ROI and impact metrics
  • Choosing technologies and vendors
  • Change management and adoption

How it works.

A process designed to maximize impact from day one.

1

Assessment

We evaluate your team's digital maturity and map the highest-impact opportunities.

2

Custom Program

We design modules with cases and data from your own operation. Not generic examples.

3

Certification + Project

Your team finishes with a project applied to a real problem in your plant. Measurable results.

WHY THIS TRAINING?

It is not a generic course.

Unlike general-purpose AI courses, our programs are designed for the real context of industrial manufacturing.

Instructors with industrial experienceEngineers who have implemented AI in real plants, not theoretical academics.
Cases with real data from your plantWe use your own production, quality, and maintenance data as the material.
An applied final projectEvery program ends with a project that creates measurable value in your operation.
Access to the Patok Cognitive StackPractice with the full platform: Digital Twin, Email Layer, and Cognitive Agent.
70%
Hands-on practice
6
Specialized modules
100+
Engineers trained
24/7
Platform access

Access to the Cognitive Stack™

Participants get temporary access to the Patok platform to practice with real data and the Cognitive Agent during the program.

Explore the platform

Level up your team's knowledge.

The difference between using AI and mastering it is the right training. Book a free adoption session and find out where to start.

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