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Certificates: Certificate "Artificial Intelligence: AI Consultant"
Certificate "Personnel Officer" -
Additional Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
Certificate "AI Manager with TÜV Rheinland certified qualification"
Certificate "Fundamentals of Human Resources Management"
Certificate "Labor Law"
Original SAP user certificate -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
KI-Beauftragte:r mit TÜV Rheinland geprüfter Qualifikation
KI-Manager:in mit TÜV Rheinland geprüfter Qualifikation
SAP-Anwenderzertifizierung UC_S4HR -
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: 20 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)
Fundamentals of human resources management
Fundamentals of human resources management (approx. 2 days)
Objectives and tasks of operational human resources management
Organization and framework conditions of human resources management
Personnel administration
Personnel information and statistics
Diversity management
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Personnel administration (approx. 5 days)
Tasks and process structures
Instruments of personnel administration
Information systems
Fundamentals of labor law
Employment contracts
Data protection
Personnel planning/recruitment (approx. 5 days)
Objectives, importance and tasks of personnel planning
Processes and components of personnel planning
Applicant management and requirement profiles
Evaluation of applicant documents
Special features of SMEs
Job interviews/selection process
Hiring new employees
Personnel development (approx. 3 days)
Basic questions of personnel development
Instruments of promotion
Staff appraisal
Development stages and target measurements
Company training and further training
Differentiation between further training and forms of training
Personnel remuneration (approx. 3 days)
Personnel costs
Basics of cost and activity accounting
Forms of remuneration
Basics of payroll accounting
Gross/net wage calculation
Income tax and social security regulations
Payroll accounting
Project work (approx. 2 days)
To consolidate the content learned
Presentation of the project results
Labor law
Forms of employment (approx. 2 days)
Fixed-term and permanent employment relationships
Part-time models and legal entitlement
Marginal employment
Vocational training
Employment and collective agreement (approx. 2 days)
Recruitment and conclusion of contract
Drafting the employment contract
AGB control of employment contracts
Evidence Act (obligations, deadlines, written form)
Collective bargaining agreement and works agreement
Artificial intelligence (AI) in the work process - legally compliant application (approx. 1 day)
Presentation of specific AI technologies
Possible applications in employment law (relevance for HR processes,
documentation/risk issues)
AGG: Job advertisements and application procedures (approx. 2.5 days)
Introduction to the AGG
Diversity management
Data protection compliant handling of applications
Pay transparency (requirements for job advertisements, rights to information, etc.)
Analyzing job advertisements
Conducting job interviews in a legally correct manner
Employee and employer obligations (approx. 3 days)
Obligations of employees and employers
Working hours, wages and salary
Remote work/home office agreements
Right of direction
Company integration management (BEM)
Target agreements
Liability in employment law
Data protection in the employment relationship
Whistleblower Protection Act (HinSchG)
Types and characteristics of employment references
Works constitution law (approx. 2.5 days)
What does the BetrVG regulate?
Tasks and information rights of the works council
Co-determination and participation rights
Election and organization of the works council
Works meeting
Works agreement
Parental leave, maternity leave, care leave and vacation (approx. 3 days)
Warning and termination (approx. 2 days)
Warnings (function, form, effectiveness)
Reasons for termination
Types of termination and notice periods
Termination/settlement agreement
Protection against dismissal
Project work (approx. 2 days)
To consolidate the content learned
Presentation of the project results
SAP User Human Resources Management (HCM)
Introduction, technical briefing and registration SAP Learning Hub (approx. 1 day)
SAPHR - SAP HCM Overview (approx. 3 days)
SAP navigation
Structures in Human Capital Management
Employee information
Analytics
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies and possible applications in the professional environment
S4HR05 - Business processes in SAP ERP HCM on S/4HANA (approx. 8 days)
Start SAP Human Capital Management for SAP S/4HANA
Maintaining personnel master data
Use of structures in HCM
Executing processes in personnel administration
Use time management
Use the analysis functions of SAP HCM
S4HR11 - Business processes in HCM Payroll for S/4HANA (approx. 3 days)
Describe the basics of payroll accounting
Working with employee master data for payroll and personnel actions
Explore the payroll process
Get to know payroll scenarios
Troubleshooting and resolving typical errors in payroll accounting
Describing follow-up activities
Finding additional resources
Project work/case study, certification preparation and SAP user certification Human Capital Management (approx. 5 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 will also be able to plan and implement AI-supported transformation projects in line with standards and anchor them sustainably in your company. You will be able to maximize the economic benefits, value creation and ROI of AI initiatives, take risks and compliance requirements into account and establish a sustainable organizational structure, governance and change management strategies for the successful use of AI.
You are also familiar with the core areas of human resources management and can apply these in a practice-oriented manner. You will also be familiar with the practical application of employment law in a business environment and how to use SAP HCM.
Employees with a sound basic knowledge of human resources are indispensable in today's working world and are in demand across all sectors at companies of all sizes. Knowledge of current legislation is essential for successful HR work in companies of all sizes and is of great importance for business practice. Specialists with this knowledge are therefore employed across all sectors.
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.
Training partner of SAP® Germany
In cooperation with the SAP training partner alfatraining Bildungszentrum GmbH, we will qualify you for a job in industry and business.
You are directly connected to the SAP® Germany servers and learn on the original SAP® training system (IDES) in the latest version. This gives you the necessary practical experience during the course.
All SAP user courses also conclude with the original SAP certification. Our SAP instructors are qualified SAP consultants who will provide you with intensive support and prepare you optimally for the certification exam.
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 teaching 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).