Personnel and payroll accountant with Employee Lifecycle

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

Legal framework for payroll accounting (full-time approx. 3 days/part-time approx. 6 days)

Fundamentals of labor law with reference to payroll accounting

Social security law: compulsory insurance, contribution groups, levies, reporting, obligation to keep records

Wage tax law: tax deduction features, obligation to call up, payroll account

Wage types and their significance for payroll accounting

Data protection and limits of AI for payroll and personal data

Create and maintain client and employee master data in DATEV (full-time approx. 5 days/part-time approx. 10 days)

Client creation in DATEV

Backing up and importing client data

Recording social security and tax law specifics, other client master data

Creation of different employee types

Employee group (trainees, mini-job, midi-job, managing directors)

Entries and exits

Payments and deductions in DATEV (full-time approx. 4 days/part-time approx. 8 days)

Salary and time rate

Supplements and variable remuneration components

One-off payments (e.g. Christmas and vacation bonuses)

Travel allowances

Payment of wages in the event of illness, vacation, public holidays

Garnishment

Benefits in kind and non-cash benefits (e.g. company car, staff discounts)

Company pension scheme

Travel expenses and reimbursement of expenses

Maternity protection pay and maternity benefit

Payroll accounting and monthly closing with DATEV (full-time approx. 3 days/part-time approx. 6 days)

Transaction data entry

AI as an accounting tool for complex payroll transactions

Payroll accounting and monthly closing

Proof of contributions and estimation, certificates

Payroll tax registration

Repeat and recalculations

Transfer of payroll postings to the

Financial accounting, accounting voucher

Year-end closing work

Digital collaboration in DATEV (full-time approx. 2 days/part-time approx. 4 days)

DATEV Unternehmen online and DATEV Arbeitnehmer online at a glance

Preliminary wage recording and digital recording of monthly data

Digitally exchange and manage personnel documents

Digital mapping of attendances and absences

Use evaluations and wage evaluations in the DATEV applications

Insight into digital personnel processes with DATEV Personal

Project work, certification preparation (via the DATEV Students online platform) and certification exam "DATEV User Wages and Salaries" (full-time approx. 3 days/part-time approx. 6 days)

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

S4HR05 - Business processes in SAP ERP HCM (approx. 8 days)

Start SAP Human Capital Management

Maintaining personnel master data

Using structures in HCM

Executing processes in personnel administration

Using time management

Use SAP HCM analysis functions

S4HR11 - Business processes in HCM Payroll (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

Case study, certification preparation and SAP user certification (approx. 5 days)

Basics of the employee lifecycle (approx. 2 days)

Employee lifecycle as a process map (HR use cases, potential benefits, limits)

Dos/don`ts (human-in-the-loop, quality)

Basic AI terms: Model types (LLMs, classic ML), hallucinations, prompting basics

Change management for AI implementation

Legal basis (approx. 2 days)

EU AI Act (risk classes, high-risk obligations, emotion/biometric analysis)

AI literacy/training obligation

GDPR (purpose limitation, transparency, Art. 22)

DPIA and co-determination (BetrVG)

AI governance and operating model

Personnel planning and analysis (approx. 3 days)

Forecasts for personnel requirements

Data-driven HR, predictive analytics, people analytics

Workforce and skill planning

Analysis of fluctuation and early indicators

Bias monitoring in HR

AI in recruiting (approx. 5 days)

Landing pages, search engine optimization and social media in recruiting

Active sourcing and outreach with AI

Skills-based hiring (market trend and reality check)

Creating job advertisements with AI

AI-supported screening of CVs

Chatbots and video interviews

AI in personnel development (approx. 4 days)

Automated onboarding processes

Skill gap analyses

Further training offers and learning paths with AI

Creating employee appraisal guidelines

Employee satisfaction/employee retention

Impact measurement

AI in offboarding (approx. 1 day)

Offboarding processes (handover, knowledge backup, automation)

Creating AI-supported job references

Project work (approx. 3 days)

To consolidate the content learned

Presentation of the project results