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Certificates: Artificial intelligence certificate: "AI expert"
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Additional Certificates: Certificate "Artificial Intelligence: AI Officer"
Certificate "Artificial Intelligence: AI Manager"
Certificate "Artificial Intelligence: AI Auditor" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
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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: 12 Weeks
Artificial intelligence: Certified AI officers
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 (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Artificial intelligence: Certified AI managers
Introduction and objectives (approx. 2 days)
Strategic principles and framework conditions
Strategic corporate benefits of AI
Why AI is essential for managers and project leaders
Value creation and ROI through AI
Successful AI initiatives in management
Legal framework: EU AI Act
Compliance and obligations to provide evidence
Role of the management level in implementation (stakeholder communication, risk management)
AI applications and tools (approx. 4 days)
AI tools from a management perspective
Market overview of AI tools
Costs, license models and scalability
Prompt engineering and generative AI (structured creation of inputs for AI tools)
Generative AI for text, images and video
Practical introduction to prompting
Fine-tuning of prompts
Computer vision and AI-based video creation
Identification of use cases in the company
Demonstration of business potential (e.g. marketing, customer communication)
Presentation of tools and platforms: Opportunities and limitations
AI automation options in the company
Organizational development, governance and change management (approx. 4 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
Risk management (bias, ethics, data protection)
Communication strategies
Employee training
Dealing with resistance
Planning, controlling and implementation of AI projects (approx. 4 days)
Project management methods for AI projects
Budget and resource planning
Quality, risk and time management
Selection of external AI service providers
Data protection and service level agreements
Collaboration with research institutions and start-ups
Controlling and performance measurement
KPI development
Ongoing optimization and scaling
Sustainable integration of AI in the company (approx. 3 days)
Scaling pilot projects to other business areas
Continuous improvement (e.g. data-based decision-making, feedback loops)
Corporate Digital Responsibility (CDR): responsible and ethical use of AI
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Artificial intelligence: Certified 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
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 digital transformation forward. 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.
The course is aimed at auditors, specialists and managers from all areas of the company as well as project managers and employees from IT, project, process and quality management or digitization projects who want to implement and coordinate operational AI projects, audit AI systems and AI management systems or prepare for certification according to ISO/IEC 42001.
Specialists and managers who want to drive their companies forward in the digital transformation and can use AI as a tool to improve efficiency, decision-making and innovation in companies are in demand in all sectors.
Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.
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).