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Certificates: Certificate "Product manager with TÜV Rheinland certified qualification"
"Six Sigma Green Belt" Certificate -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Produktmanager:in mit TÜV Rheinland geprüfter Qualifikation
Six Sigma Green Belt -
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
Product manager with TÜV Rheinland certified qualification
Product strategy and vision (approx. 1.5 days)
Basics of product management: What is product management?
Tasks and roles of product managers
Stakeholder management in product management
Defining product vision and strategic goals
OKR (Objectives and Key Results)
Phases of the product life cycle
Design Thinking (approx. 1.5 days)
Introduction to design thinking as a human-centered innovation approach
Environment, market and competition analysis
Identifying potential and risks
Target group definition and market segmentation
Identifying and understanding user needs (pain points, gains)
Value proposition design
Idea generation and brainstorming
Prototyping and customer journey
Business Model Canvas/Lean Canvas (approx. 1 day)
Development and visualization of business models
Creating initial hypotheses for the business model
Identification of value propositions, customer segments, sources of revenue
Artificial intelligence (AI) in the work process
AI technologies and possible applications in product management
Prompting, automation, data analysis
User research and usability testing (qualitative methods and planning) (approx. 1 day)
In-depth study of qualitative research methods (interviews, focus groups)
Design and implementation of user research: planning studies
Usability testing: planning, implementation and evaluation of tests with prototypes
Minimal Viable Product (MVP) (approx. 1 day)
The concept of the MVP: How do I define the smallest functional part that delivers value and offers learning opportunities?
Identification and prioritization of features
Agile requirements engineering (approx. 2 days)
Basics and best practices
Agile methods in requirements elicitation (epics and user stories)
Techniques of requirements documentation and visualization
Prioritization and management of requirements (MoSCoW, Value vs. Effort, WSJF)
Stakeholder communication and requirements coordination
Product roadmap: creation and communication of strategic product plans
Product development 4.0 (approx. 2 days)
Agile and hybrid development methods (Scrum, Kanban)
Digital product design and prototyping
Customized mass production
AI and machine learning in product development
Outlook: Digital engineering and IoT integration
Performance measurement and product optimization (approx. 2 days)
Modern methods of market research and consumer behavior studies
A/B testing and multivariate tests for digital products
Rapid prototyping and MVP (minimum viable product) tests
Data analysis and interpretation of test results
Continuous testing and feedback loops
Pricing (approx. 1 day)
Pricing strategies in digital competition
Pricing and price differentiation
Subscription and freemium models
Data-driven pricing and dynamic pricing
Financial modeling and product controlling
Digital marketing (approx. 1.5 days)
Digital marketing strategies
Sales psychology (e.g. storytelling)
market research
Marketing conception
Communication policy and advertising
Sales channels (direct and online marketing, sales promotion, public relations)
Analysis tools in product management
Marketing concepts - 4P's and 7P's
Product launch and scaling (approx. 2.5 days)
Go-to-market strategies for different product types
Omnichannel sales and e-commerce
Internationalization and local adaptation
Product and brand positioning
Agile project management for product launches
Legal aspects (data protection, product liability, EU product safety regulation)
Project work, certification preparation and certification examination "Product manager with TÜV Rheinland certified qualification" (approx. 3 days)
Quality Management – Six Sigma Green Belt
Introduction to Six Sigma (approx. 1 day)
What is Six Sigma? History, Philosophy, and Strategy
DMAIC Project Phases, Objectives, and Roles
Six Sigma in the Context of Lean, Quality Management, and Operational Excellence
Hybrid Project Management with DMAIC for AI Projects
AI-Powered Project Management (approx. 1 day)
Fundamentals of Artificial Intelligence
Applications Along the DMAIC Framework, Limitations, and Risks
Data and Prompt Fundamentals, Context, and Quality Criteria
Governance, Security, the EU AI Act, and the GDPR
AI Dashboard, Information Consolidation, and Quality Gates
Define – Define (approx. 3 days)
Project identification, strategic relevance, and key metric driver tree
Distinction from CIP and PUL (Problem, Cause, and Solution)
Project Profile: Problem Description and SMART Goal Definition
In-scope and out-scope definitions, as well as AI-supported completeness check
LIPOK and Voice of the Customer (VoC)
Affinity Diagram and Kano Model
VoC-to-CTQ transformation, specifications, and acceptance criteria
AI-supported analysis and technical validation of customer requirements
Cost-effectiveness: ROI, TCO, and qualitative benefits
Stakeholder Analysis and AI-Supported Project Planning
Risk Analysis and Preventive Measures
Change management and motivation for change
Communication strategy, elevator pitch, and AI-supported change story
Quality Gate Review: Define
Measure – Measurement (approx. 3.5 days)
Mathematical process model and cause-and-effect chain of the CTQs
Influence analysis using Ishikawa and KSR, as well as an AI-supported metrics matrix
Data Types and Measurement Scales
Operational definition, data collection methods, and sampling strategy
Data collection plan and control using an AI dashboard
Measurement system analysis: bias, repeatability, reproducibility, and gage R&R
Data quality, plausibility checks, and AI-supported data cleaning
Data Visualization, Statistical Metrics, and Machine and Process Capability
AI-Supported Interpretation of Measurement Results and Quality Gate Review Measure
Analyze – Analysis (approx. 3.5 days)
Process Map and Data Map, as well as Value Stream Analysis
Value stream analysis, spaghetti diagram, TIMWOODS, and Makigami
Distinguishing Between Symptoms, Problems, and Causes
Cause-and-effect and Pareto analysis, as well as AI-supported error code clustering
Hypothesis Formulation and AI as a Sparring Partner
Design of Experiments and AI-assisted testing of influencing factors
Correlation and regression analysis, as well as statistical hypothesis testing and group comparisons
AI-Supported Evidence Matrix and FMEA
Quality Gate Review and Analysis
Improve – Innovative Improvement (approx. 3 days)
Creativity Techniques and AI-Supported Solution Development
Lean solution principles as well as technical and organizational measures
Solution approaches using generative AI, automation, and robotics
Regulatory and organizational requirements for AI deployment
AI-specific risk assessment, as well as feasibility and maturity analyses
Solution evaluation
Acceptance and cost-benefit analysis
Implementation plan and pilot program with success and acceptance criteria
Iterative Approach to AI Pilots and Quality Gate Review Improve
Control – Controlling and Sustainable Implementation (approx. 2 days)
Go-Live, Process Stabilization, and Support During the Start-up Phase
Standard Operating Procedures and Controlling Plan
KPIs, statistical process control, control charts, and corrective actions
Balanced Scorecard and AI-Supported Monitoring
Audit Concept
Project completion, handover, and AI-supported documentation
Quality Gate Review Control
Project work, exam preparation, and final exam (approx. 3 days)
Changes are possible, the course content is updated regularly.
This course offers a sound introduction to product management and takes you through the key phases of product development - from the idea to the market launch. After the course, you will accompany innovative products, master techniques for requirements documentation and carry out product and market tests. You will also be able to develop product strategies and assess consumer behavior.
In addition, after completing the course, you will be able to independently and successfully implement Six Sigma projects in accordance with ISO 13053-1 and the DMAIC framework. You will confidently apply the specific tools and methods of process and data analysis, derive improvements based on data, and consistently use AI as a methodological aid. You will design Quality Gate Reviews based on the DMAIC framework and develop AI-powered dashboards for project management, quality control, and decision support.
Project managers, individuals with degrees in engineering, technicians, master craftsmen, as well as skilled workers in the manufacturing and service sectors, and professionals in the fields of quality management, administration, and sales who wish to implement and lead improvement projects using the Six Sigma method.
Specialists with product management skills are in demand in all industries, as companies are looking for innovative and competitive products and services. Your new qualification will open up numerous career opportunities in sales, marketing or product development.
As a Six Sigma project manager, you will also enhance your career profile across all industries.
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).