AI-2

Anomaly Detection Methods in Production Processes: AI vs. Statistics

Course objective:

The aim of the training is to familiarize participants with methods of detecting anomalies in process data, which will allow them to understand when to use statistical methods and when to use Machine Learning algorithms.
The training will provide participants with the tools to independently select the appropriate analytical method in the context of various production and business problems, as well as to make predictions in the maintenance of machinery and equipment.

Target group:

Engineers
Maintenance workers
Technical staff

Training mode

Open training

Course level

AI-2

Duration

3 days, 21 hours

Prerequisites

Technical acumen. Excellent computer skills in MS Windows and Excel. Basic statistical knowledge.

Training location

Engineering Training Center in Gliwice
See the training room

Training dates

year 2026

May 25-27

December 02-04

Training dates

Please contact us by phone

Agenda

day 1 8:00 a.m. - 4:00 p.m.
day 2 8:00 a.m. - 4:00 p.m.
day 3 8:00 a.m. - 4:00 p.m.

Training price

PLN 3000 (net) + 23% VAT PRICE LIST FOR ALL TRAININGS

Possibility of participating online

The price includes

Certificate of course completion in two languages – Polish and English
Training script
Writing materials, e.g. notebook, pen (for on-site training)
Comprehensive assistance from individually assigned course supervisors
Student Cards entitling you to discounts at selected partner venues in Gliwice (for stationary training)

Gourmet Catering

Participants of training sessions at our center receive unlimited access to the Cechownia Cafe coffee bar and a two-course lunch.
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Contact

tel .: (32) 411 10 00
E-MAIL: info@emt-systems.pl

Closed training

In this respect, we also organize closed training, where the dates, participation costs, location and training program are agreed individually with the client.

Certificate

After completing the training, each participant receives a bilingual, personal certificate descriptively confirming the acquired skills in accordance with the system implemented at EMT-SYSTEMS Sp. z o.o. quality management PN-EN ISO 9001:2015, supervised and certified by TUV Nord Poland.
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Accommodation

List of hotels near the training site.

Please do not hesitate to contact us

32 4111 000

info@emt-systems.pl

in order to consult the appropriateness of the training selection

Course program

day 1	Introduction to Artificial Intelligence and Its Applications in Engineering Definition and Basics of AI The role of advanced analytics in production processes Examples of AI applications for anomaly detection in industry The Advantages of Advanced Statistical Methods over AI in Solving Engineering Problems Benchmarking – When AI Might Be Overkill and When Classic Statistical Approaches Are Worthwhile Case studies – examples where classical statistical methods yielded better results than AI-based solutions How to assess whether AI is suitable for solving an engineering problem How to effectively run advanced analytics projects Steps to assess the need for AI in the context of engineering problems Machine Learning vs. Statistics - when and which method to choose? Assessment of process maturity and available data The role of industry experts Implementation stages Data analysis and AI methods in the context of anomaly detection Definition of anomaly Types of data in production processes: sensor data, quality data, time measurements Process Data Challenges The role of data quality how to prepare data for analysis types of data exploratory data analysis data validation and cleansing data transformations Practical exercises
day 2	Discussion of statistical methods and AI in the context of anomaly detection Statistical methods for anomaly detection Statistical analysis Visual identification of patterns and anomalies: control charts, normality tests, box plots Spike and variability detection tests Regression analysis Forecasting and time analysis Examples of industrial applications Practical exercises
day 3	Machine Learning Methods in Anomaly Detection Unsupervised anomaly detection algorithms: LOF, Isolation Forest, Onc-Class SVM Cluster analysis: K-means, DBSCAN PCA method Reconstruction methods: Autoencoders Examples of applications in real production processes Advantages and limitations Practical exercises Comparison of Unsupervised Machine Learning Approaches and Statistical Methods in the Context of Anomaly Detection Case study: how to make decisions about the choice of method in practice

Laboratory equipment

The training rooms and laboratories are air-conditioned, large, and spacious. Student workstations are specially equipped.

The practical part of the training consists of workshops conducted on a "living organism", real examples and data from various enterprises - case studies, document analysis.

We provide:

Computer room
Excel program

Meet our company

Awards Reference Opinions

Our experts

The trainers have extensive technical knowledge and many years of experience, with documented professional experience and completed implementations. During the training sessions, they present real-world situations they have encountered in their professional work.

Our trainers are open to suggestions from our students. During training, we often explore topics that deviate from the standard curriculum, addressing specific aspects of our students' work.

The completed courses also lead to cooperation between EMT Systems Sp. z o. o. and representatives of industrial plants in the areas of: projects, modernization, and commissioning of technological lines.

Gourmet Catering

Apart from the substantive aspect, it is very important to us comfort of our training participantsWe offer our students a cozy café and restaurant, a place to enjoy refreshments and relax during breaks during training. We invite you to use the coffee bar and modern massage chair!

During each training day, participants receive:

Unlimited access to the Cechownia Cafe coffee bar, serving tea and high-quality, freshly ground coffee. The bar is equipped with:
- NECTO Karisma – a professional espresso machine made in Italy.
- THERMOPLAN BW 4 – a professional Swiss-made espresso machine.
These machines are used in the best coffee shops. We serve unique coffees to suit your tastes – cappuccino, espresso, Americano, caffe latte, and Turkish coffee. Participants can also enjoy unlimited sparkling and still water, juices, and sweets.

Two-course dinner – a combination of traditional, home-cooked flavors with meals served in restaurants.

Until 16:00 PM cafe on the first floor You can also purchase fresh sandwiches, cakes, sweet and savory snacks, and cold drinks. After the training, from 16:00 p.m., we invite you to try it out. delicious dishes Cechownia Restaurant, prepared by the best chefs in Gliwice.