AI officer with basic knowledge of business administration and accounting

During the course, you will learn about the professional use of AI, the legal framework and data protection. You will also familiarize yourself with the business mindset and acquire basic knowledge of accounting, especially in the areas of corporate objectives, accounting, cost accounting and commercial law.
  • Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
    Certified Business Administrator" certificate
  • Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
    KI-Beauftragte:r mit TÜV Rheinland geprüfter Qualifikation
    Certified Business Administrator
  • 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 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 business administration and accounting

Business management basics and company processes (approx. 3 days)

Business management in companies
Corporate goals and conflicting objectives
Structure, functions and operational processes
Basic business functions: Procurement, service provision, sales, financing, personnel and administration
Business model, value creation and the relationship between turnover, costs, profit and liquidity
AI-supported research, structuring and preparation of business information


Business law and legal basics (approx. 2 days)

Legal forms of companies

Rights and obligations in sales contracts

Basics of liability

Cooperations and company mergers

Insolvency law and signs of crisis


Tax fundamentals in the corporate context (approx. 1 day)

Classification of business tax types

Basics of corporate taxation

The basic principle of value added tax

Importance of taxes for pricing, earnings and liquidity


Fundamentals of external accounting: bookkeeping, balance sheet and income statement (approx. 6 days)

Tasks and objectives of external accounting

Inventory and stocktaking

Layout and structure of a balance sheet, assets/liabilities

Profit and loss account (P&L) and profit calculation

Receivables/payables

Provisions and reserves in basic terms

Depreciation and its effects on the annual financial statements

Relationship between current business transactions and annual financial statements

P&L statement in graduated form

Introduction to analyzing the balance sheet and income statement

AI support in accounting-related processes, e.g. for audit notes, plausibility checks


Corporate goals, key figures and business management (approx. 1 day)

Profitability, productivity

Liquidity and profitability

Return on equity and other business ratios

Assessment of the economic situation of a company


Cost and activity accounting in small and medium-sized companies (approx. 3 days)

Tasks and importance of cost and activity accounting

Terms used in cost accounting

Cost type, cost center and cost unit accounting

Price calculation

Basic principles of contribution margin and profitability analysis

Cost accounting for operational control


Project work, certification preparation and certification examination (approx. 4 days)



Changes are possible, the course content is updated regularly.

Experience in dealing with artificial intelligence (AI) is required.

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 have a basic understanding of business contexts and commercial thinking. You will be familiar with the central areas of accounting, be able to classify operational key figures and understand and process simple business management issues in everyday working life. You will also learn about the sensible and responsible use of artificial intelligence in commercial and administrative work processes.

The course is aimed at people who want to acquire basic business management knowledge or refresh and expand their existing knowledge in the commercial field.

Sound basic commercial and business management knowledge is indispensable in today's working world and makes it easier for you to understand business practice.

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).

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.