AI consultant and PLC specialist with EPLAN

Role of AI officers in the compliance context (approx. 1 day)

Introduction to the role of AI officers

Tasks and responsibilities

Differentiation from other roles

Introduction to professional communication with AI (approx. 1 day)

Basics, strategies and types of prompting

Key components for effective prompting

Building an internal prompt library

Legal basics (approx. 2 days)

Overview of relevant laws and regulations: GDPR, AI Act, product liability, copyright law

In-depth study: EU AI Act (approx. 2 days)

Structure, objectives, classification

Risk classes

Obligations for suppliers, operators, importers and distributors

Conformity assessment

Documentation and transparency obligations

Post-market monitoring and reporting obligations

Management systems and standards (approx. 2 days)

Overview of ISO/IEC 42001

Importance of AI management systems (AIMS)

Integration into existing management systems (e.g. ISO 9001, ISO 27001)

Compliance strategies

Governance frameworks

Risk management, data protection and ethics (approx. 3 days)

Types of risk (bias, errors, ethical risks)

Strategic risk assessment

Risk matrix

Excursus: Risks of AI agents

Action planning

Data protection and data security for AI systems

Data ethics and transparency requirements

Quality assurance in AI projects (approx. 3 days)

Quality assurance and acceptance processes

Stakeholder analysis

Communication strategies

Training concepts for employees

Data management (approx. 1 day)

Basics of data quality

Principles of data integrity

Development of data management structures

Change management (approx. 2 days)

Dealing with resistance during AI introductions

Training concepts for employees

Development of a change management plan

Excursus: Strategic AI roadmap

Project work, certification preparation and certification exam "AI representative with TÜV Rheinland-certified qualification" (approx. 3 days)

Fundamentals of operational AI projects (approx. 5 days)

Introduction to AI, ML, DL, NLP and computer vision (operational focus)

Roles and tasks: Setting up, operating and reviewing the effectiveness of the management system in accordance with ISO 42001

Role delineation and collaboration: AI officer, AI manager and AI auditor

Identification and evaluation of operational use cases in the company

Project initiation: target definition, scope, feasibility analysis

Stakeholder management

Value creation and ROI through AI

Successful AI initiatives in management

Data management and use of tools (approx. 3 days)

Data preparation, quality and integration

Selection and implementation of AI tools and platforms

Practical prompting for text, image and video applications

Building simple data pipelines

Introduction to MLOps concepts

AI automation options in operation

Model training, validation and use (approx. 2 days)

Training and validation of models

Test procedures: Black box, white box, unit tests

Use of models

Monitoring and iterative optimization

Integration of AI agents in projects

Risk management and quality assurance (approx. 2 days)

Technical risk analysis: bias metrics, fairness tests, model error analysis

Quality assurance: KPIs, monitoring, acceptance processes

Management system according to ISO 42001

Security and explainability of AI systems

Operational project management and agile methods (approx. 2 days)

Agile methods: Scrum, Kanban, iterative deployment cycles

Resource and budget planning

Team and stakeholder communication

Ongoing optimization and problem-solving strategies (CIP)

Cooperation with external partners

Organizational development, governance and change management (approx. 3 days)

Analysis of business processes

Maturity level analysis, GAP analysis

Creation of an AI roadmap

AI governance and strategy development

Development of a sustainable organizational structure

Responsibilities

Practical handling of resistance in AI operations

Sustainability and corporate digital responsibility (CDR)

Project work, certification preparation and certification exam "AI Manager with TÜV Rheinland certified qualification" (approx. 3 days)

System Overview (approx. 2 days)

Course Objectives, Course Structure, Teaching Approach

Overview of Industrial Control Systems

SIMATIC Control Family

Features of the S7-300/400

Features of the S7-1200

Features of the S7-1500

Hardware (approx. 1 day)

Setup and Installation of the Automation System

Components of an S7 CPU

Structure, Operation, and Addressing of Signal Modules

Program (approx. 15 days)

Portal View and Project View in the TIA Portal

Creating a new project and inserting devices in the TIA Portal

Device configuration in the TIA Portal

Basic logical operations, block entry in the TIA Portal

Basic logic operations

Testing with PLCSIM

CPU cycle (OB1)

Process Maps

Additional logical operators in KOP/FUP/AWL

Implementation of Conventional Control Circuits in KOP/FUP/AWL, Encoder Query (NC/NO)

Additional bit manipulation instructions (SET/RESET, FP/FN)

SIMATIC Timers

SIMATIC counters

Converters, comparators, arithmetic operations

Interface of the FC block type

Setting Up and Using Global Data Blocks

Data Type STRUCT

Block type FB: Interface and instance DB

Block Type FB: Multi-Instances

IEC Timers and IEC Counters

Multi-Instances for IEC Timers and IEC Counters

Handling TIA Projects: Archiving, Migrating

Libraries in the TIA Portal

Saving Protected Blocks in a Library

Introduction to the 1500 Series Controller and PLCSIM 1500

Migration / Adaptation of 300 Series Projects to the 1500 Series

AKKUs in the S7 CPU: MOVE, Loading, and Transferring

Structured Programming: Using Multiple Blocks

Jump Instructions Within a Block

Explanation and Use of Various Organization Blocks

SCL Programming Language (approx. 2 days)

SCL statements (structure), logical operators

Simple IF statement with Boolean expressions

IF, THEN, ELSE, comparisons, and calculations

IEC timers and IEC counters

Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment

Sequence Chains (approx. 5 days)

Programming according to DIN 60848 (Graphcet)

Sequence control: Step chains in FUP

Sequence control with S7-Graph

Graph Editor

Simple step sequence

Branches

Selecting and Extending Interface Parameters

Interlock

Supervision

Event-Driven Actions

Working with Real Hardware (approx. 5 days)

Establishing and testing a connection to the CPU

Backing up the CPU contents, comparing online and offline states

Evaluating reference data and cross-references

Monitoring and control using a monitoring table

Force

Online and diagnostic tool

Evaluate the diagnostic buffer

Commissioning a TIA system with software troubleshooting and fault correction

Analog Values (approx. 2 days)

Principle of Analog Value Processing

Operation and Configuration of Analog Input Modules

Evaluating Analog Measurement Values in the Program

Operation and configuration of analog output modules

Programming Analog Outputs

Update and document projects (approx. 3 days)

Modify existing project according to customer requirements

Implement project changes

Document the project change

Documentation Components

Save and document program changes

Use cover sheets and forms from the system library

Create project-specific cover sheets and forms

Printing project documentation

Project work (approx. 5 days)

To consolidate the content learned

Presentation of the project results

PROFIBUS (approx. 2 days)

Hardware overview of PROFIBUS devices, bus parameters

Communication principle

Setting up PROFIBUS networks between SIMATIC CPU and various DP devices

PROFINET I/O (approx. 2 days)

Basics, IP addresses

Hardware overview of PROFINET devices

Setting up PROFINET networks between different components

WinCC basics (approx. 1 day)

Presentation of the working environment

Usable hardware and initial project creation

Creating and managing an HMI project

Creating a project with the wizard

Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment

HMI project planning with WinCC in the TIA Portal (approx. 5 days)

Creating visualization screens, navigating between several screens, using templates

Using internal and external variables, animating WINCC objects

Displaying values of PLC variables (I/O field, bar, pointer instrument)

Use symbol library object for display and operation

Using text and graphics lists

Extended functions for HMI (approx. 4 days)

Creating user keys and assigning authorizations

Entering and displaying messages

Working with recipes

Plan tasks, record process data

Commissioning and use of an HMI device (approx. 1 day)

Project work (approx. 5 days)

To consolidate the content learned

Presentation of the project results

EPLAN Basics (approx. 1 day)

Setting up the user interface

Create and manage projects

Define project and user settings

Backing up and restoring projects

Artificial intelligence (AI) in the work process (approx. 0.5 days)

Use of AI for structuring planning tasks, documentation and quality assurance

Differentiation between AI support and technical testing in engineering processes

Graphic editing (approx. 7.5 days)

Creating project pages, editing page properties

Creating circuit diagrams, symbol and device-oriented

Using symbols and macros

Creating and dimensioning overview drawings

Using navigators when working with circuit diagrams

Single-pole and multi-pole representations

Integrating part data into the planning process via the EPLAN Data Portal

Managing EPLAN (approx. 5 days)

Creating and managing symbols and macros

Editing standard sheets and forms

Managing articles, device, connection and project data

Overview of Collaboration Apps (approx. 1 day)

Data management - eManage

Article management - eStock

Project viewer - eView

Evaluating circuit diagrams (approx. 3 days)

Creating terminal and cable diagrams

Automatically output parts lists and legends

Create cover sheets and integrate graphics

Evaluations for production, assembly and documentation

Using test runs and plausibility checks for quality assurance

Project work (approx. 2 days)

To consolidate the content learned

Presentation of the project results