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Certificates: Change and innovation management" certificate
Certificate "Artificial intelligence (AI) for managers" -
Examination: Practical project work with final presentations
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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: 5 Weeks
Change and innovation management
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 (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Artificial intelligence (AI) for managers
Basics of artificial intelligence (AI) (approx. 0.5 days)
What is AI and when do we talk about it?
Introduction and history
Why is AI booming right now?
Terminology (AI, deep learning and machine learning)
Supervised, unsupervised, reinforcement learning
Limits of AI (approx. 0.5 days)
Data bias
Explainability of the algorithms
Rare borderline cases in the application
Quality of the training data
Data (approx. 0.5 days)
Data preparation and cleansing
Typical problems with data
How much data does AI need?
Public data sources and crowdlabeling
Why is data the real intellectual property, not the algorithms?
Possible uses of AI in companies (approx. 0.5 days)
Practical examples for the use of AI
Common problems of AI in the application
Effects of AI on the understanding of leadership (approx. 0.5 days)
What skills will managers need in the future?
What influence will AI have on employee management?
How can managers shape collaboration with AI?
Changes in the decision-making process due to AI
Strategies for successful leadership in the context of AI
Building trust in AI
Preparing employees for the use of AI (approx. 0.5 days)
Developing an AI strategy for the company
Dealing with ethical issues in connection with AI
Best practices and exchange of experience
Discussion of best practices in leadership in the context of AI
Case studies from practice (approx. 0.5 days)
How do I use prompting in my area? (approx. 0.5 days)
Project work (approx. 1 day)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
You understand how important change and innovation are 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.
In addition, you will have the basic knowledge and practical skills required for the successful use of AI technologies in companies. You will be able to understand, evaluate and select AI systems and consider ethical issues related to artificial intelligence.
The course is aimed at commercially oriented individuals who face the entrepreneurial challenges of digitalization and introduce or support it in the company and in the team.
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.
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).