The course combines the topics of change and AI management relevant to digital transformation. You will first learn about the tasks and challenges of current change processes in the course of digital transformation as well as change management as a success factor for companies to react to and support them. This is followed by an introduction to AI management and various AI applications and tools for targeted planning, management and implementation, as well as monitoring and optimization of AI projects.
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Certificates: Certificate "Change Manager (IHK)"
Certificate "AI Manager with TÜV Rheinland certified qualification" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
(Change Manager:in zertifiziert durch die IHK)
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: 8 Weeks
Change Manager (IHK)
Industry 4.0 and digital transformation basics (approx. 3 days)
What is Industry 4.0?
Developments from the past to the present
Digital revolution or normal development?
The most important building blocks for a factory of the future
What impact will Industry 4.0 have on the economy and people?
The technical basis - intelligent, digitally networked systems and production processes
What is digital transformation?
Digital transformation as a process of continuous further development of digital technologies
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Personal ability to change within New Work (approx. 5 days)
Work 4.0 - The New Work era
The new world of work - more digitalized, more mobile, more efficient and more networked
The old workplace - a look back
The new workplace - What does the current workplace already look like?
The workplace of the future - video conferencing, working from home and robots
Global teams: the most important building blocks for successful global collaboration and teamwork
Self-organization and self-management in the New Work era
Agile learning and knowledge management in the digital age
An overview of models and tools for modern conflict management
The opportunities inherent in New Work and Work 4.0
Systems and processes (approx. 2 days)
Process analysis with regard to digital transformation
Lean management - management processes rethought
Design Thinking - An insight into the new form of problem solving and idea generation
Scrum - A possibility of agile project and product management
What is change and innovation management (approx. 5 days)
The analysis of change - how a change process begins
Which tools and instruments accompany the change
The design of a change architecture - The "king competence" in change management
The success factors of change management
It doesn't work without change communication
Innovation management - change management as a driver for innovation
The innovation process: planning, implementation and monitoring success
Change monitoring in change processes (approx. 2 days)
Agile reporting - progress monitoring
Communication controlling - planning, management and control of corporate communication
Project work, certification preparation and certification exam "Change Manager (IHK)" (approx. 3 days)
Artificial intelligence: AI manager with TÜV Rheinland-certified qualification
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, 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)
Technical risk analysis: bias metrics, fairness tests, model error analysis
Quality assurance: KPIs, monitoring, acceptance processes
Management system according to ISO 42001
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
Creation of an AI roadmap
AI governance and strategy development
Development of a sustainable organizational structure
Responsibilities
Practical handling of resistance in AI operations
Sustainability and corporate digital responsibility (CDR)
Project work, certification preparation and certification exam "AI Manager with TÜV Rheinland certified qualification" (approx. 3 days)
Changes are possible, the course content is updated regularly.
You understand the importance of change and innovation for business success and know the impact of changing processes and structures on the working environment. You are familiar with the roles in a modern company, you can develop strategic plans and then evaluate their success.
You will also be able to plan and implement AI-supported transformation projects in line with standards and anchor them sustainably in your company. You will be able to maximize the economic benefits, value creation and ROI of AI initiatives, take risks and compliance requirements into account and establish a sustainable organizational structure, governance and change management strategies for the successful use of AI.
This course is aimed at specialists, managers and project managers from all areas of the company who are involved in digitally networked, global work structures and want to use AI technologies to make processes and decisions more efficient.
Specialists and managers who are familiar with digital processes and can bring them into the company are in demand across all industries. Interdisciplinary knowledge in the digital field can be used in large and medium-sized companies as well as in agencies.
Additional know-how in artificial intelligence (AI) helps you as a specialist and manager to advance companies in the digital transformation and to use AI as a tool to improve efficiency, decision-making and innovative strength.
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).