Manager for applied AI transformation with design thinking

With Design Thinking, this course first introduces an approach to solving problems and developing new ideas. Practical exercises provide an overview of methodical input for visualization and prototyping. In addition, the course provides comprehensive knowledge on the strategic introduction of artificial intelligence in the company. You will learn how to evaluate and apply AI tools from a management perspective, develop an AI governance and strategy and successfully design change processes and organizational structures. You will also learn methods for the project management of AI projects as well as the sustainable integration of AI and its ethical and responsible use.
  • Certificates: Design Thinking" certificate
    Certificate "Manager for applied AI transformation with TÜV Rheinland certified qualification"
  • Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
    Manager:in für angewandte KI-Transformation mit TÜV Rheinland geprüfter Qualifikation
  • Teaching Times: Full-time
    Monday 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.)
  • Language of Instruction: German
  • Duration: 5 Weeks

Design Thinking

Introduction to Design Thinking (approx. 1.5 days)

Design Thinking process at a glance

The most important rules and phases of Design Thinking

Practice-oriented approaches and applications

Digital tools and AI in the innovation process


Phase 1: Research (approx. 0.5 days)

Methods of user-centered research

Interview techniques and needs analysis

AI-supported research and information processing


Phase 2: Synthesis (approx. 0.5 days)

Analysis and structuring of findings

Development of problem definitions and personas

Visualization and clustering of results


Phase 3: Ideation (approx. 0.5 days)

Creative techniques for developing ideas

Methods for finding and evaluating solutions

Use of generative AI in the ideation process


Phase 4: Prototyping (approx. 0.5 days)

Development of initial solution approaches and mockups

Introduction to rapid prototyping and click dummies

Digital tools for the visualization of concepts


Phase 5: Testing (approx. 0.5 days)

Methods for carrying out tests and feedback rounds

Analysis and optimization of solution approaches

Iterative work and agile further development


Project work (approx. 1 day)

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.

The design thinking approach can be used to develop innovative and user-centered solutions for complex challenges. You will get to know the principles and the structured, iterative process of design thinking and learn how practice-oriented tools, digital tools and artificial intelligence support creative and interdisciplinary innovation processes.

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.

Specialists and managers as well as those responsible for transformations who want to strategically introduce AI in the company, design change processes and organizational structures and ensure the benefits and success of AI initiatives.

Design thinking was initially an innovative method for product development, but it has now spread to the entire corporate culture and is therefore in demand across all industries.

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).

We will gladly advise you free of charge.

0800 3456-500 Mon. - Fri. from 8 am to 5 pm
free of charge from all German networks.

Contact

We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm free of charge from all German networks.