The course combines the topics of process and AI management, which are relevant to everyday working life: on the one hand, processes must become more effective and efficient in order to meet the requirements of everyday working life, while on the other hand, the aim is to drive forward the digital transformation through the use of artificial intelligence. Process management is therefore discussed first - from the basics and the comparison of operational and strategic process management to the management of process-oriented organizations. This is followed by an introduction to AI management and the teaching of various AI applications and tools for targeted planning, control and implementation, as well as monitoring and optimization of AI projects.
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Certificates: Certificate "Process manager with TÜV Rheinland certified qualification"
Certificate "AI Manager with TÜV Rheinland certified qualification" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Prozessmanager:in 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: 8 Weeks
Process manager with TÜV Rheinland-certified qualification
Basics of process management (approx. 2 days)
Understanding and terms in process management
Advantages of process management
Basic principles of process management
Benefits of process management
Components/characteristics of processes
Types of business processes (primary and secondary)
Structural/process organization
Strategic and operational process management
Overview of the most important process management methods: Six Sigma, Lean Management, BPR, Balanced Scorecard, PDCA and Kaizen
Artificial intelligence (AI) in the work process (approx. 1 day)
Presentation of specific AI technologies
and possible applications in the professional environment
Operational process management (approx. 8 days)
Operational process management cycle (process life cycle)
Methods of process identification and recording
Methods of identification such as SIPOC and IAO
Process landscape/map/process model
Structuring options for the process model
Methods of process mapping (from interviews to workshops) and storyboarding
Creativity in process management (e.g. mind mapping)
Methods and tools for process analysis
Methods and tools for process modeling and documentation
Modeling of flowcharts
Deriving operational process goals from strategic goals
Overview of management methods for optimization
Developing target processes from optimization
Change management during process rollout
Dealing with resistance and conflicts
Executing, controlling and monitoring processes
KPIs for process control and monitoring
Introducing CIP
Strategic process management (approx. 2 days)
Define corporate strategy
Determine goals and derive need for action, plan measures
Use KPIs
Define business model and structure
Use balanced scorecard
Plan and control processes strategically
Integrate strategic and operational process management
Process-oriented organization (approx. 4 days)
Challenges in the design and management of the process-oriented organization
Setting up BPM governance
Elements of BPM governance - from roles and documentation to process audits
Making the process model known
Aligning technology with processes
Roles in process management
Introducing and implementing role concepts for process and line
Leadership in the process-oriented organization: leadership skills, defining management processes, establishing learning organizations, promoting a process-oriented culture
Project work, certification preparation and certification examination "Process manager with TÜV Rheinland certified qualification" (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.
After this course, you will be familiar with approaches, process models and systems to make processes even more successful.
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.
Holistic process management takes into account corporate structures and culture as well as management principles and is therefore a decisive factor for the success of the company. Process managers are therefore in demand in large and medium-sized companies in all sectors.
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.
You prove your newly acquired knowledge with a TÜV Rheinland-certified qualification.
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).