Product Manager and Six Sigma Yellow & Green Belt

This course will give you a sound introduction to product management. You will learn how to accompany innovative products from the idea to the market launch, carry out market, customer and competitor analyses, develop product strategies and apply agile development options. You will also acquire knowledge in the implementation of more complex Six Sigma projects in companies. As a Six Sigma Green Belt, you will sustainably increase your efficiency in the company and be able to manage improvement processes professionally. The course is rounded off with an insight into the use of artificial intelligence in the workplace.
  • Certificates: Certificate "Product manager with TÜV Rheinland certified qualification"
    Certificate "Six Sigma Yellow & Green Belt"
  • Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
    Produktmanager:in mit TÜV Rheinland geprüfter Qualifikation
    „Six Sigma Yellow & Green Belt”
  • 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: 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 Yellow & Green Belt

Six Sigma Yellow Belt (approx. 1 week)


Introduction to the Six Sigma strategy - Yellow Belt (approx. 1.5 days)

What is Six Sigma? History and philosophy

DMAIC project phases at a glance and their individual objectives

Roles and responsibilities

Six Sigma in the context of lean and QM (OpEx)

AI as an assistant for structuring the project objective, scope and stakeholders


AI in the improvement project (approx. 0.5 days)

Types of AI (ML,DL,LLM,GenAI)

Data and prompt basics

Governance and security


Define phase (approx. 0.5 days)

Problem and project definition (Project Charter)

Understanding customer requirements (VOC-CTQ)

Process mapping (SIPOC)

Operational definition and data quality

AI-supported clustering of simple VOC examples


Measure phase (approx. 0.5 days)

Process mapping (flow chart and swimlane)

Insight into measurement system analysis (MSA)

Basic key figures (DPMO, Sigma Level)

Data types and collection (graphical analyses)

AI for measurement plan checklists, plausibility checks


Analysis phase (approx. 1 day)

Cause-effect analysis (5-Why, Ishikawa)

Basics of statistical methods

Insight into machines and process capability


Improve phase (approx. 0.5 days)

Generate solution ideas (Poka Yoke)

Risk assessment and introduction of FMEA


Control phase (approx. 0.5 days)

Definition of process monitoring (control plan)

Insight into statistical process control (SPC)

Process documentation and standardization (SOP)


Six Sigma Green Belt (approx. 3 weeks)


Project management with Six Sigma - Green Belt (approx. 1 day)

Green Belts as project managers

Work breakdown structure (WBS), project communication and documentation

Teamwork and leadership

Going through DMAIC project phases using advanced statistics application tools and methods

AI-supported project management: risks/dependencies, schedule risk analysis


Define phase (approx. 1.5 days)

Project profile, business case

Project scoping, stakeholder and risk analysis

VOC in CTQ transformation (CTQ tree)

Team composition, project planning (Gantt chart, milestone planning)

Cost calculation and target formulation (benefit)


Measure phase (approx. 2.5 days)

Advanced statistical basics

Visualization and interpretation (histogram, run chart, box plot)

Short-term vs. long-term capability (MFU, PFU)

Calculation and interpretation of the sigma level

Process indicators (Pp, Ppk, Cp, Cpk)

Measurement system analysis (MSA), bias, gage R&R

AI-supported data checks (missing values, outlier indications)


Analysis phase (approx. 4 days)

Hypothesis development, correlation analysis

Correlation (Pearson) and analysis of variance (ANOVA)

Lean time and value flow (yield, OEE, VSM)

Text/error code clustering for Pareto according to failure modes with AI


Improve phase (approx. 1 day)

Design of Experiments (DoE)

Solution generation and creativity methods (mind mapping, brainstorm/writing, 6-3-5 method)

Testing (Poka Yoke, piloting, cost-benefit analysis)

Risk minimization (FMEA, RPN evaluation)

Implementation


Control phase (approx. 1 day)

Sustainable implementation (control plan)

SPC, quality control charts (X̄-R chart, X̄-s chart)

Process monitoring (KPI, dashboard, BSC)

Project completion and handover

AI-supported KPI story/management summary


Project work, certification preparation and certification examination (approx. 4 days)



Changes are possible. The course content is updated regularly.

Professional experience in the production or service sector and basic knowledge of quality management are required.

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.

You will also be familiar with the specific tools and methods of Six Sigma in order to implement projects independently and successfully.

People with a degree in engineering, technicians, foremen and specialists from the production and service sectors and people from the areas of quality management, administration and sales who want to carry out and manage 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).

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.