Module 09 · Training Program

Digital World &
Artificial Intelligence Applications Training

A hands-on training program designed to improve efficiency, quality and decision making by building an understanding of where digital technologies and artificial intelligence applications are used in production processes.

Duration 1 Full Day / ~7 Hours
Format Theory + Roadmap Workshop
Participants 8–20 People
Focus Digital Transformation & AI Applications
Certificate Opexera Certificate of Attendance
About the Training

Why Digital Transformation and Artificial Intelligence?

Industry 4.0 asks production managers for a technological perspective as well as an operational one. Choosing the right technology, recognising digitalisation opportunities and connecting AI to operations are now essential capabilities for staying competitive.

4.0 Industry 4.0 — the core framework of digital transformation in manufacturing
IoT MES, ERP, IoT — data collection and digital system integration in production
AI Artificial intelligence and data analytics — the new standard in predictive maintenance and quality prediction
AGV Autonomous logistics and cobot systems — what production automation looks like on the floor
Curriculum

Program Content

From the fundamentals of digital transformation to production data systems, from machine vision to autonomous logistics, and from AI applications to the digitalisation roadmap, the training covers every critical topic of Industry 4.0.

Fundamentals

Digital Transformation & Industry 4.0

The effects of Industry 4.0 on the manufacturing world: digital maturity levels, cyber-physical systems and a practical framework for the smart factory concept.

Data Systems

Data Collection in Production — MES, ERP, IoT

Integrating manufacturing execution system (MES), enterprise resource planning (ERP) and Internet of Things (IoT) infrastructure into the production data flow.

Quality

Quality Control with Machine Vision

Using machine vision and image processing technologies in quality control; defect detection systems and AI applications that take the place of the human eye.

Logistics

Logistics AGV / AMR Systems & Cobots

Integrating automated guided vehicles (AGV), autonomous mobile robots (AMR) and collaborative robots (cobots) into production and logistics processes.

Artificial Intelligence

AI & Data Analytics Applications

Artificial intelligence and machine learning applications for predictive maintenance, quality prediction and production optimisation, covered through real shop-floor examples.

Strategy

Digitalisation Roadmap & Prioritisation

Determining the organisation's current digital maturity level, prioritising achievable digitalisation steps and carrying out an investment-benefit analysis.

Training Day

Daily Program Flow

The morning block covers digital technologies and AI applications with industry examples; in the afternoon a digital maturity index is calculated for a model plant and an organisation-specific digital roadmap is built.

Application & Workshop (13:30 – 16:00)

  • Calculating a digital maturity index for a model plant
  • Building a digital roadmap
1
09:00 – 10:30

Industry 4.0 & Digital Systems

Covers the fundamentals of digital transformation, MES/ERP/IoT infrastructure and production data collection systems.

2
10:45 – 13:00

Machine Vision, AGV/Cobot & AI

Visual quality control, autonomous logistics systems, cobot applications and AI-driven data analytics are covered with industry examples.

3
13:30 – 15:00

Digital Maturity Index Workshop

Digital maturity level is assessed through a model plant scenario; strengths and weaknesses are identified.

4
15:00 – 16:00

Digital Roadmap Design

Group-based digitalisation prioritisation is carried out; organisation-specific implementation steps and an investment-benefit framework are produced.

Outcomes

By the End of the Training, Participants…

Participants who complete the training stop assessing digital technology as observers and start seeing it as something they can integrate into operational decision making.

Being able to understand where digital technologies are used in production

Being able to identify digitalisation opportunities in processes

Developing a perspective on choosing the right technology

Being able to connect AI applications to operations

Being able to build a digital roadmap for their own organisation

Audience

Who Is This Training For?

Digital World and Artificial Intelligence Applications training suits every operations, engineering and IT team that wants to understand digital transformation in manufacturing, choose the right technology and connect AI applications to operations.

Operations Managers

Managers who want to steer digital transformation at a strategic level and decide on the right technology investments.

Engineers

Engineers who want to assess digital technology and AI applications in production processes.

IT and Production Teams

Teams that want to contribute to digital transformation projects by combining production and IT perspectives.

Instructor

Consultant & Instructor

Ertuğrul Turgay
Ertuğrul Turgay
Operational Excellence & Digital Transformation Consultant · Opexera

Ertuğrul Turgay's shop-floor experience spans everything from "Paperless Factory" projects to AI-supported quality control systems. He analyses companies' digital maturity levels and builds technology roadmaps that are achievable and add real value. He currently runs digital transformation projects with İstinye University.

Digital Transformation Industry 4.0 Artificial Intelligence MES / ERP / IoT Predictive Maintenance Digital Roadmap

Request a Quote for Digital World & Artificial Intelligence Training

Contact the Opexera team for a digital maturity assessment, a technology selection framework and a roadmap workshop design tailored to your organisation.

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