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Certificates: Certified Leadership Expert" certificate
Digital Leadership" certificate
Certificate "Manager for applied AI transformation with TÜV Rheinland certified qualification" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Certified Leadership Expert
Manager:in für angewandte KI-Transformation 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: 12 Weeks
Leadership skills
Conflict management
Communication (approx. 1 day)
Communication models and tools
Conversation management and active listening
Conflict discussions as a management tool
Reflection on your own communication style
Conflicts (approx. 2 days)
Causes and types of conflict
Escalation stages and reaction strategies
Harvard concept of conflict resolution
Non-violent communication
Use of AI to develop solutions in conflict situations
Constructive conflict management in the company (approx. 1 day)
De-escalation strategies and solution techniques
Using conflicts as an opportunity for improvement
Project work (approx. 1 day)
To consolidate the content learned
Presentation of the project results
Leadership - the basics of leadership (approx. 3 days)
Roles and tasks of the manager
Leadership theories in the course of time
Leadership styles and situational leadership
Agile management - overview
Women in leadership
Visions, mission statements and goals
Motivation
Personnel management (approx. 5 days)
Strategic personnel policy
Fundamentals of labor law - overview
Personnel management process
Personnel planning and selection
Integration of new employees
Personnel and appraisal interviews
The first 100 days as a manager
Personality and skills development
Team building (Tuckman, Belbin)
Health in the workplace as a management task (incl. BEM)
Practical examples in the workshop (approx. 3 days)
Taking over a new area of responsibility
Acceptance problems of employees and management
Bullying and difficult team dynamics
Implementing changes
Complaints and dissatisfaction (e.g. salary)
Internal resignation
Burnout and dealing with mental illness
Diversity management
Breaches of rules of conduct (tardiness, sexual harassment, alcohol in the workplace, etc.)
Use of AI as a supporting tool in day-to-day management
Project work, certification preparation and certification examination (approx. 4 days)
Digital Leadership
Challenges of the digital transformation (approx. 2 days)
Digital leadership - big picture
Differentiation between leadership - digital leadership - digital business leadership
VUCA environment/BANI environment
Limits and challenges of digitalization in leadership
Consequences of digitalization for the market and competition
Customer expectations in the digital age
Leading people in the digital transformation (approx. 4 days)
How do people "work"? (Findings from neurobiology)
Systemic perspectives on the individualization of leadership
Tasks and roles of the manager in digital change
Motivation as the basis for self-management and leadership
Emotional intelligence as a key competence
Self-management and decision-making in complex environments
Dealing with uncertainty and complexity in the digital world of leadership
Remote leadership and leading hybrid teams
Promoting digital skills in the team
New Work/Agile Leadership (approx. 2 days)
Work 4.0 - basics of a new world of work
Self-organization and self-management in a digital context
Team collaboration in digital times
Remote collaboration: tools, methods and rituals
Strategic and operational leadership in practice
Building, developing and supporting teams
Basics of agile methods (e.g. Scrum, Kanban - overview)
Designing organization and transformation (approx. 2 days)
Selection and introduction of digital processes, methods and tools
Change and transformation management
Ambidextrous organization (ambidexterity)
Dealing with skepticism and resistance in change processes
Analysis of the digital maturity level of organizations
Artificial intelligence as a management tool (approx. 2 days)
AI in everyday management
AI as a manager - competition or help
Effects of generative AI on work
Dealing with big data as a digital leader
Responsibility and risks
Digital business models, goals, strategies, key performance indicators and KPIs (approx. 3 days)
Value creation processes and digital business models
Development of goals and strategies
Defining key figures for process control
Defining and measuring key performance indicators (KPIs)
Introduction of objectives and key results (OKRs) as an agile target system
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
Artificial intelligence: Manager for applied AI transformation
Introduction and objectives (approx. 2 days)
Strategic principles and framework conditions
Strategic corporate benefits of AI
Importance of AI for leadership and management
Value creation and ROI through AI
Successful AI initiatives in management
Legal framework: EU AI Act
Compliance and obligations to provide evidence
AI applications and tools (approx. 4 days)
AI tools from a management perspective
Market overview of AI tools (opportunities and limitations)
Costs, license models and scalability
Generative AI and prompt engineering: basics, application and practice
AI models for respective areas of application, such as text generation, programming, recruitment, image creation, video creation
Identification of use cases in the company
AI automation options in the company
Creating an AI agent
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
Training of employees
Dealing with resistance
Planning, controlling and implementation of AI projects (approx. 4 days)
Project management methods for AI projects
Use case identification and evaluation
Development of an AI roadmap
Budget and resource planning
Selection of external AI service providers
Collaboration with research institutions and start-ups
Integration of AI agents into projects
Quality and time management
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, certification preparation and certification exam "Manager for applied AI transformation with TÜV Rheinland certified qualification" (approx. 3 days)
Changes are possible, the course content is updated regularly.
After completing the course, you will be able to recognize conflicts in day-to-day management at an early stage, analyse them professionally and implement suitable solution strategies. You will also be able to use communication and leadership instruments and supporting tools in a targeted manner.
You will also be able to contribute effectively as a specialist and manager in a modern, digitally networked working environment. You can contribute to the development of key strategies to implement processes in a meaningful way.
Furthermore, you will be able to strategically anchor AI in your company, design change processes and organizational structures, evaluate use cases and ensure the benefits and success of AI initiatives at company level.
The course is aimed at managers, department heads with personnel responsibility and company managers who wish to acquire or update their business management knowledge.
Leadership skills are essential for people who want to work in a managerial role.
AI and digital transformation are also increasingly central topics in companies. With this knowledge, you can control the areas of AI management, transformation and innovation in the company and are therefore attractive for all industries.
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).