In this course, you’ll learn how to use AI professionally, as well as the legal framework and data protection regulations. You’ll also acquire the fundamental skills needed for a career in human resources. The fundamentals and processes of human resources work are taught in a practical manner: You’ll learn about HR administration procedures, as well as how to determine staffing needs, recruit, select, and terminate employees, and gain insight into the areas of employee development and compensation.
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Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
Certificate "Fundamentals of Human Resources Management" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
KI-Beauftragte:r 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: 8 Weeks
Artificial intelligence: AI officers with TÜV Rheinland-certified qualifications
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 human resources management
Fundamentals of Human Resources Management and Digitalization (approx. 3 days)
Roles, Objectives, and Importance of Human Resources Management in a Company
Structure and Organization of Human Resources
Human Resources Information and Statistics
Diversity Management in the HR Context
Digitalization and AI in Human Resources
Human Resources Management (approx. 5 days)
Tasks and Process Structures
Human Resources Management Tools
Digital and AI-powered HR information systems (e.g., chatbots or self-service portals)
Data Protection in Human Resources
Fundamentals of Labor Law (Types of Contracts, Rights and Obligations of Employers and Employees, Protected Rights)
Workforce Planning/Recruitment (approx. 4 days)
Objectives, Tasks, and Tools of Workforce Planning
Human Resources Management in Small and Medium-Sized Enterprises
Determining Staffing Needs and Staff Deployment
Candidate Management, Job Profiles, and Evaluation of Application Materials
Online Recruiting and the Candidate Journey
Job Interviews/Selection Processes
Hiring New Employees
Human Resources Development (approx. 2 days)
Significance and Objectives of Human Resources Development
Integrating Employee Development into Corporate Goals and HR Strategy
Performance Appraisals as the Basis for Employee Development Measures
Development Tools
Overview of digital learning offerings and AI-powered professional development tools
Employee Compensation (approx. 3 days)
Personnel Costs as a Key Performance Indicator in the Company
Overview of Forms of Compensation
Basics of Social Security and Payroll Tax
Gross-to-Net Logic, Non-Cash Compensation
Structure and Components of a Payroll Statement
Current Overview of Pay Transparency
Project work (approx. 3 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, 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.
In addition, you’ll have a solid understanding of all key areas of human resources management. You understand how modern human resources work functions—from personnel administration and labor law to workforce planning and recruiting, all the way to employee development and compensation. At the same time, you know how digitalization and artificial intelligence (AI) are transforming the field of human resources.
Employees with a sound basic knowledge of human resources are indispensable in today's working world and are in demand in companies of all sizes across all industries.
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).