AI representative and change manager (IHK)

During the course, you will learn about the professional use of AI, the legal framework and data protection. You will also learn about the tasks and challenges of current change processes in the course of digital transformation.
  • Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
    Certificate "Change Manager (IHK)"
  • Examination: Praxisbezogene Projektarbeit mit Abschlusspräsentation
    KI-Beauftragte:r mit TÜV Rheinland geprüfter Qualifikation
    (Change Manager:in zertifiziert durch die IHK)
  • Teaching Times: Full-time
    Monday 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.)
  • Language of Instruction: German
  • Duration: 8 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)

Change Manager (IHK)

Industry 4.0 and digital transformation basics (approx. 3 days)

What is Industry 4.0?

Developments from the past to the present

Digital revolution or normal development?

The most important building blocks for a factory of the future

What impact will Industry 4.0 have on the economy and people?

The technical basis - intelligent, digitally networked systems and production processes

What is digital transformation?

Digital transformation as a process of continuous further development of digital technologies


Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment


Personal ability to change within New Work (approx. 5 days)

Work 4.0 - The New Work era

The new world of work - more digitalized, more mobile, more efficient and more networked

The old workplace - a look back

The new workplace - What does the current workplace already look like?

The workplace of the future - video conferencing, working from home and robots

Global teams: the most important building blocks for successful global collaboration and teamwork

Self-organization and self-management in the New Work era

Agile learning and knowledge management in the digital age

An overview of models and tools for modern conflict management

The opportunities inherent in New Work and Work 4.0


Systems and processes (approx. 2 days)

Process analysis with regard to digital transformation

Lean management - management processes rethought

Design Thinking - An insight into the new form of problem solving and idea generation

Scrum - A possibility of agile project and product management


What is change and innovation management (approx. 5 days)

The analysis of change - how a change process begins

Which tools and instruments accompany the change

The design of a change architecture - The "king competence" in change management

The success factors of change management

It doesn't work without change communication

Innovation management - change management as a driver for innovation

The innovation process: planning, implementation and monitoring success


Change monitoring in change processes (approx. 2 days)

Agile reporting - progress monitoring

Communication controlling - planning, management and control of corporate communication


Project work, certification preparation and certification exam "Change Manager (IHK)" (approx. 3 days)



Changes are possible. The course content is updated regularly.

After the course, you will be able to take responsibility for the safe, ethical and effective use of AI in the company. You will evaluate applications from a technical perspective, develop internal guidelines and act as an interface between specialist departments, IT and data protection in order to use artificial intelligence responsibly.

You also understand the importance of change and innovation for business success and know the impact of changing processes and structures on the working environment. You are familiar with the roles in a modern company, you can develop strategic plans and then evaluate their success.

Specialists and managers from all areas of the company who want to implement and coordinate operational AI projects, as well as project managers and employees from IT, project and process management, quality management or digitalization projects.

The course is also aimed at business-oriented individuals who are facing the entrepreneurial challenges of digitalization.

You will manage AI projects, ensure compliance, data protection and ethical standards and support teams in the use of AI tools. TÜV-certified qualifications open up career opportunities in strategy, project management and data & AI governance.

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).

We will gladly advise you free of charge.

0800 3456-500 Mon. - Fri. from 8 am to 5 pm
free of charge from all German networks.

Contact

We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm free of charge from all German networks.