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Certificates: Certificate "Artificial Intelligence: AI Consultant"
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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: 8 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
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 AI responsibly.
You will also be able to identify the business potential of AI, ensure ROI, successfully implement change management processes and select suitable tools to strategically plan, operationally manage and sustainably anchor AI projects in the company and drive digital transformation.
Specialists and managers from all areas of the company who want to implement and coordinate operational AI projects, as well as project managers and employees from IT, project and process management, quality management or digitalization projects.
You will take responsibility for compliance, data protection and the practical use of AI tools. Your TÜV-certified qualification will open up career opportunities in strategy, project management and data & AI governance. Your expertise is in demand across the industry to drive digital transformation and innovation.
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).