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Certificates: "Industry 4.0 Transformation Expert with TÜV Rheinland-certified qualification" certificate
Certificate "Artificial intelligence (AI) for managers" -
Examination: Practical project work with final presentations
Industry 4.0 Transformation Expert with TÜV Rheinland-certified qualification -
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
Industry 4.0 Transformation Expert with TÜV Rheinland-certified qualification
Industry 4.0 basics (approx. 2 days)
4th industrial revolution - development stages in brief
Definitions and technical terms
Factors for the digital transformation
Agile systems and processes
Key concepts of Industry 4.0 (approx. 3 days)
Overview of Big Data
Social media basics and functions
Understanding transmitter-receiver systems: RFID, NFC
Explanation of machine applications: Bots, crawlers, blockchain, AI and machine learning
Areas of application and limits of additive manufacturing and 3D printing
Assistance systems: small helpers with a big impact
Cloud computing: infrastructure and service in data storage
Augmented and virtual reality: augmented realities and their potential applications
M2M communication: automatic data exchange between technical systems
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Internet of Things and Services (approx. 3 days)
Technical challenges and big data
IoT/IoS/IoE/AIoT
The economic power of IoT/IoS
Smart services: Development of data-based, digital services
Digital transformation (approx. 4 days)
Horizontal and vertical integration: networking of departments, divisions and companies
Phase plan and implementation
Change and innovation management
Effects of new business models
Digital leadership: from lean to smart in production
Performance controlling with key figures, key figure systems and business intelligence
Effects on logistics
Industry 4.0-ready maintenance
Effects on organization and employees (approx. 2 days)
The new role of employees in the digital factory of the future
The human factor in Industry 4.0
Employees' willingness to change
Legal framework (approx. 3 days)
IT and data protection law: avoiding legal pitfalls
Product liability law: Who is liable for what damage in a networked world
IP law and data sovereignty: the importance of industrial property rights
Employment law: Legal regulations for the special protection of employees
Implementation status of Industry 4.0 in Germany
Project work, certification preparation and certification exam "Industry 4.0 Transformation Expert with TÜV Rheinland certified qualification" (approx. 3 days)
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.
After this course, you will be familiar with the technical terms and processes associated with the digital revolution and have the knowledge to introduce and support a digital transformation in your company.
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 anyone who wants to face the entrepreneurial challenges of digitalization. This course is of particular interest to employees from the areas of administration, production, maintenance, logistics and controlling, as well as HR employees from industrial companies.
Industry 4.0 specialists are not only employed by large industrial companies. Small and medium-sized companies that want to participate in the digital transformation are also looking for qualified personnel with knowledge of Industry 4.0. After the course, you can provide meaningful proof of your new skills with a TÜV Rheinland-certified qualification.
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).