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Certificates: Artificial intelligence certificate: "AI expert"
Certificate "Fundamentals of Controlling"
Certificate "Controlling practice with DATEV" -
Additional Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
Certificate "AI Manager with TÜV Rheinland certified qualification"
Certificate "Artificial Intelligence: AI Auditor" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
KI-Beauftragte:r mit TÜV Rheinland geprüfter Qualifikation
KI-Manager:in 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: 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)
Artificial intelligence: AI auditor
Basics and framework conditions (approx. 4 days)
Roles, tasks and responsibilities within AI audits
Differentiation from other roles (e.g. AI manager)
Audit principles according to ISO 19011 (objectivity, independence, transparency)
Normative basis: ISO/IEC 42001 - structure, requirements, evidence
EU AI Act - relevant provisions for auditors
National guidelines and industry-specific standards
PDCA cycle in the audit context
Audit types: system, process, product and compliance audits
Stage 1 and Stage 2 at a glance
Documentation requirements and verification
AI-specific risks as audit objects (bias, explainability, robustness, security, data quality)
Prompting in the audit context
Regulatory and technical test criteria (approx. 4 days)
AI-specific compliance requirements
Data protection (GDPR and industry-specific requirements)
Security of AI systems (cybersecurity, access control)
Quality requirements for training and test data
Model validation and verification
Explainability and transparency of AI decisions
Performance metrics (accuracy, precision, recall, robustness)
Ethical principles and fairness
Additional industry-specific standards (e.g. ISO 13485, ISO 26262, BaFin guidelines)
Audit planning and methodology (approx. 4 days)
Definition of audit objects and objectives
Creation of an audit plan (resources, schedule, roles, communication)
Creation of questionnaires and checklists
Risk and relevance assessment of audit points
Selection of suitable audit methods (questioning, document review, technical tests)
Determination of supporting documents and types of evidence
Audit implementation (approx. 3 days)
Document review (Stage 1) - Requirements for AI documentation
Interview techniques and conducting discussions during the audit
On-site audit (Stage 2) - Use of audit tools
Carrying out technical tests (black box, white box, stress tests)
Use of technical tools (audit software, log analysis, code review)
Collection, validation and structuring of audit documents
Evaluation and report (approx. 2 days)
Creation of an audit report using prompting
Risk-appropriate presentation of weak points
Suggested measures and follow-up strategies
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Controlling basics
Introduction to controlling (approx. 1.5 days)
Controlling as part of the management process
Overview of the various controlling instruments and methods
Strategic and operational controlling
Cost accounting and cost management (approx. 3.5 days)
Introduction to cost and activity accounting
Cost element accounting
Cost center accounting
Cost unit accounting
Cost accounting systems (approx. 3 days)
Actual, normal and planned cost accounting
Partial and full cost accounting
Activity-based costing
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Corporate planning and budgeting (approx. 4 days)
budget planning
Liquidity planning
investment planning
Key figures and key figure systems (approx. 3 days)
Contribution margin
Balanced scorecard
Reporting (approx. 2 days)
reporting
BWA
Data protection in controlling
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Controlling practice with DATEV
Cost accounting with DATEV (approx. 7 days)
Creation of basic data
Creation of the cost center plan
Setting up the evaluations
Adaptation of cost accounting to operational requirements
Account allocations
Internal activity allocations and apportionments
Entering and processing batches
Displaying and printing evaluations
Setting up evaluation packages
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Business planning with DATEV (approx. 5 days)
Overview and functionality of DATEV
Basics of planning calculation
Planning strategies - setting up a planning and control system with integrated profit and liquidity planning
General planning approaches
Detailed planning options using detailed objects
Investment planning (investment and financing)
Program links
Target/actual comparison and DATEV controlling report
Evaluations: Brief overview and standard evaluations as well as planning report
Analysis and planning in accounting (approx. 5 days)
The monthly analysis
Profit analysis: comparison with previous year, target/actual comparison, industry comparison, time series presentation for trend statements
Liquidity analysis: static liquidity, withdrawal behavior, payment habits, account management, cash flow statement with cash flow calculation
Use and origin of funds
Special solutions and occasions
Determination of debt servicing capacity
Individual BWA (adaptation of the standard BWA)
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 artificial intelligence. You will be able to identify the business potential of AI, successfully implement change management processes and select suitable tools to strategically plan, operationally manage and sustainably anchor AI projects within the company and drive forward the digital transformation. You will also have the skills to plan AI audits in line with standards, coordinate them across departments and successfully integrate them into existing management and audit processes.
In addition, you will have basic knowledge of controlling to ensure cost-efficient and realistic business analysis and advice and have the necessary specialist knowledge to strategically plan, monitor and optimize performance processes in the company. With the help of the DATEV controlling software, you will be able to visualize meaningful information in company figures.
With sound knowledge in the field of controlling, you can support management, especially in larger companies. You can act as a consultant in companies in almost all sectors of the economy and in public administration.
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).