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Certificates: Certificate "PLC specialist with EPLAN"
Certificate "Artificial Intelligence: AI Consultant" -
Additional Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
Certificate "AI Manager with TÜV Rheinland certified qualification"
Certificate "PLC: Working with Simatic S7 in the TIA Portal"
Certificate "PLC: Visualization, process data processing with WinCC and networking in the TIA Portal"
Certificate "Electrical planning with EPLAN" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
KI-Beauftragte:r mit TÜV Rheinland geprüfter Qualifikation
KI-Manager:in mit TÜV Rheinland geprüfter Qualifikation -
Teaching Times: Full-timeMonday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
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Language of Instruction: German
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Duration: 24 Weeks
Artificial intelligence: AI officer
Introduction to professional communication with AI (approx. 3 days)
Strategies and types of prompting
Key components for effective prompting
Prompting in text generation vs. prompting in image and video generation
Prompting in research, text generation and with AI agents
Building an internal prompt library
Legal foundations and compliance for AI in the company (approx. 4 days)
Introduction to the role of the AI officer
(tasks, differentiation from other roles)
Overview of relevant laws and regulations
(GDPR, AI Act, product liability, copyright law)
National and EU regulations (incl. AI Act)
Compliance strategies
Governance frameworks
Documentation and transparency obligations
Risk management and data protection in AI projects (approx. 3 days)
Types of risk (bias, errors, ethical risks)
Risk assessment
Risk matrix
Action planning
Data protection and data security
Data ethics
Transparency
Project management and quality assurance for AI projects (approx. 3 days)
Project management methods for AI
Quality assurance and acceptance processes Test procedures
Stakeholder analysis
Communication strategies
Training concepts for employees
Data management and governance in AI projects (approx. 2 days)
Data quality, data integrity
Responsibilities in data management
Development of a governance framework
Change management and training for the introduction of AI (approx. 1 day)
Dealing with resistance
Training concepts for employees
Development of a change management plan
Creation of a roadmap for scaling AI projects (approx. 1 day)
Long-term strategies
Scalable infrastructure
Criteria for tool selection
Project work, certification preparation and certification exam "AI representative with TÜV Rheinland certified qualification" (approx. 3 days)
Artificial intelligence: AI manager
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, data 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)
Operational risks: Bias, errors, ethical risks, data protection
Quality assurance: KPIs, monitoring, acceptance processes
Management system according to ISO 42001 and legal framework
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
AI governance and strategy development
Development of a sustainable organizational structure
Responsibilities and role allocation
Communication strategies
Training of employees
Dealing with resistance
Sustainability and corporate digital responsibility (CDR)
Project work, certification preparation and certification exam "AI Manager with TÜV Rheinland certified qualification" (approx. 3 days)
PLC: Working with Simatic S7 in the TIA Portal
System overview (approx. 2 days)
Course objective, course sequence, teaching concept
Key features of the SIMATIC S7 system family
Components of the TIA portal, STEP 7
Hardware (approx. 2 days)
Design and assembly of the automation system
Display and operating elements of the SIMATIC CPU
Addressing and wiring the signal modules
Device configuration in the TIA Portal
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Program (approx. 14 days)
Program processing by the control system
Program test with PLCSIM
Binary operations in FBD LAD IL
Time steps, counters, comparators, accumulator operations
Use of the various block types (OB, FC, FB, DB), program structuring
Data management with data blocks
FB as multi-instance
IEC-compliant blocks
Explanation and use of various organizational blocks
Program language SCL
Project handling (approx. 2 days)
Archiving and migrating projects
Using reference projects
Working with libraries
Converting S7-300 projects to the S7-1500 system
Step chain programming (approx. 5 days)
Step chain representation according to DIN 60848 (Graphcet)
Step chains in FBD
Presentation of sequence control with S7-Graph
Working with S7-Graph
Commissioning and diagnostics/working with the hardware (approx. 5 days)
Establishing a connection to a real CPU
Test tools for system information, troubleshooting and diagnostics
Recognizing and rectifying basic hardware faults
Hardware diagnostic functions of the TIA portal
Software diagnostic functions of the TIA portal
Commissioning a TIA system with software troubleshooting and fault rectification
Analog values (approx. 2 days)
Principle of analog value processing in the SIMATIC S7
Configuring the connection of analog sensors
Evaluating analog measured values in STEP 7
Output of analog values
Updating and documenting projects (approx. 1 day)
Save and document program changes made
TIA Portal tools for documentation
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
PLC: Visualization, process data processing with WinCC and networking in the TIA Portal
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
Electrical planning with EPLAN
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
Presentation of specific AI technologies
and possible applications in the professional environment
Graphic editing (approx. 8 days)
Create project pages, edit 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
Managing EPLAN (approx. 6 days)
Creating and managing symbols and macros
Editing and creating standard sheets and forms
Creating devices and customers in the database
Evaluating circuit diagrams (approx. 3 days)
Creating terminal and cable diagrams
Automatically output parts lists and legends
Create cover sheets and integrate graphics
Project work (approx. 2 days)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
After the course, you will be able to take responsibility for the safe and ethical use of AI in the company. You will also be able to plan, implement and sustainably anchor AI transformation projects.
After this course, you will understand the interaction of the TIA components. You will be able to modify and adapt existing STEP 7 programs and systematically diagnose and rectify hardware and software faults in a simple TIA system.
You will also know how to operate WinCC in the TIA Portal efficiently and safely, edit WinCC projects for machine-related use and design graphic images. You will also be able to set up and configure industrial networking at fieldbus level with PROFIBUS-DP and the Industrial Ethernet standard PROFINET I/O.
You will also learn how to use the new EPLAN drawing environment. This includes the drawing of circuit diagrams in the areas of device, machine, plant and building technology. After the course, you will also be able to evaluate these plans and document electrical systems and devices.
People with a degree in engineering, electrical engineers, automation specialists, mechatronics engineers, technicians, master craftsmen and specialists with relevant professional experience.
Additional knowledge in the strategic use of AI projects and your TÜV Rheinland-certified qualification will open up further career opportunities in the current job market.
Didactic concept
Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).
You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.
Virtual classroom alfaview®
Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.
The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).