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Certificates: Certificate "Artificial Intelligence: AI Consultant"
Digital Leadership" certificate -
Additional Certificates: Certificate "AI representative with TÜV Rheinland-certified qualification"
Certificate "AI Manager with TÜV Rheinland certified qualification" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
KI-Beauftragte:r mit TÜV Rheinland geprüfter Qualifikation
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: 12 Weeks
Artificial intelligence: AI officer
Introduction to professional communication with AI (approx. 3 days)
Strategies and types of prompting
Key components for effective prompting
Prompting in text generation vs. prompting in image and video generation
Prompting in research, text generation and with AI agents
Building an internal prompt library
Legal foundations and compliance for AI in the company (approx. 4 days)
Introduction to the role of the AI officer
(tasks, differentiation from other roles)
Overview of relevant laws and regulations
(GDPR, AI Act, product liability, copyright law)
National and EU regulations (incl. AI Act)
Compliance strategies
Governance frameworks
Documentation and transparency obligations
Risk management and data protection in AI projects (approx. 3 days)
Types of risk (bias, errors, ethical risks)
Risk assessment
Risk matrix
Action planning
Data protection and data security
Data ethics
Transparency
Project management and quality assurance for AI projects (approx. 3 days)
Project management methods for AI
Quality assurance and acceptance processes Test procedures
Stakeholder analysis
Communication strategies
Training concepts for employees
Data management and governance in AI projects (approx. 2 days)
Data quality, data integrity
Responsibilities in data management
Development of a governance framework
Change management and training for the introduction of AI (approx. 1 day)
Dealing with resistance
Training concepts for employees
Development of a change management plan
Creation of a roadmap for scaling AI projects (approx. 1 day)
Long-term strategies
Scalable infrastructure
Criteria for tool selection
Project work, certification preparation and certification exam "AI representative with TÜV Rheinland certified qualification" (approx. 3 days)
Artificial intelligence: AI manager
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, data 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)
Operational risks: Bias, errors, ethical risks, data protection
Quality assurance: KPIs, monitoring, acceptance processes
Management system according to ISO 42001 and legal framework
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
AI governance and strategy development
Development of a sustainable organizational structure
Responsibilities and role allocation
Communication strategies
Training of employees
Dealing with resistance
Sustainability and corporate digital responsibility (CDR)
Project work, certification preparation and certification exam "AI Manager with TÜV Rheinland certified qualification" (approx. 3 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
Consequences of digitalization for the market and competition
Customer expectations in the digital age
Challenges in leadership (approx. 4 days)
Leadership - basics
Motivating employees and getting to know employee participation models
Expectations of employees in the digital age
The role of the manager in digital change
Emotional intelligence as a key competence
Determining your own level of digital maturity
Agile leadership in digitalized environments
New Work / Agile Leadership (approx. 2 days)
Work 4.0 - the foundations of a new world of work
The new requirements for self-organization and self-management
Team collaboration in digital times
Forming, leading and developing teams
Virtual leadership
Networking and knowledge management with digital systems
Digital change in the company (approx. 2 days)
Selection and introduction of suitable digital processes, methods and tools
Change and transformation, ambidextrous organization (ambidexterity)
Dealing with employee skepticism during change processes
Determining the digital maturity level of an organization
Artificial intelligence (AI) in the work process / application of key technologies (approx. 2 days)
Presentation of specific AI technologies in the professional environment
Possible applications and practical exercises (prompts)
Effects of generative AI on work
Getting to know and understand blockchain, smart contracts, Internet of Things (IOT), AR/VR
Big data: collecting, analyzing and evaluating data
Business models, goals, strategies, key performance indicators and KPIs (approx. 3 days)
Analyze, plan and design value creation processes and business models
Define key performance indicators for process control
Successfully defining and measuring key performance indicators (KPIs)
Introducing Objectives & Key Results (OKRs) as a new, more agile target system
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
After the course, you will be able to take responsibility for the safe, ethical and effective use of AI in the company. You will evaluate applications from a technical perspective, develop internal guidelines and act as an interface between specialist departments, IT and data protection in order to use artificial intelligence responsibly.
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.
After the course, you will be able to contribute effectively as a specialist and manager in a modern, digitally networked working environment. You will be able to contribute to the development of key strategies to implement processes in a meaningful way.
This course is aimed at specialists and managers from all areas of the company who are involved in digitally networked, global work structures and want to successfully support processes and employees there.
The course serves as proof that you have acquired in-depth know-how for the digital world. Specialist knowledge in the digital field is in demand and applicable across all industries, both in large and medium-sized companies as well as in agencies.
Additional knowledge in the strategic use of AI projects and your TÜV Rheinland-certified qualification will open up further career opportunities in the current job market.
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).