CAD with DesignCenter (formerly Siemens NX) and surface modeling with Six Sigma Green Belt
After completing the course, you’ll be able to create complex 3D designs efficiently and precisely using Design Center (formerly Siemens NX). You’ll gain in-depth knowledge of modeling, assembly modeling, and drawing creation, as well as surface modeling, enabling you to independently tackle challenging tasks. Furthermore, you’ll learn how to implement more complex Six Sigma projects in companies. As a Six Sigma Green Belt, you’ll sustainably increase your efficiency in project management and be able to expertly lead improvement processes.
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Certificates: Certificate in “CAD with DesignCenter (formerly Siemens NX) and Surface Modeling”
"Six Sigma Green Belt" Certificate -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
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: 12 Weeks
CAD with DesignCenter (formerly Siemens NX) and surface modeling
Fundamentals (approx. 2 days)
General Basics
File Management, Preferences
User Interface
Coordinate Systems in DesignCenter
Model Creation (approx. 6 days)
Sketch creation and editing
Sketch management
Shape Elements: Extrude, Rotate, Sweep, Loft, Boolean Operations
Reference elements
Design changes to the model
AI-assisted selection of geometrically similar elements
Use of intelligent assistance functions during modeling
Topology optimization and generative approaches to part optimization
Introduction to Convergent Modeling
Generative AI in the Design Process (approx. 2 days)
Introduction to AI in the Context of CAD and Design
Potential Applications of Generative AI in the Design Process
Using AI to Assist with Error Messages and Troubleshooting
Design using Design Center (approx. 4 days)
Synchronous Design
Parameter-Driven Updates
Design Logic, Working with Expressions
Sketch Geometry Using the Sketch Environment
Working with layers and layer categories
Creating Part Families/Variant Design
Reuse Library, Creating Your Own Library
Sheet metal design (approx. 1 day)
Modeling in the sheet metal and model environment
Assembly and Collaboration (approx. 5 days)
Creating Assemblies and Loading Options
Constraint Management
Master Model Concept
Positioning Components in the Assembly
Using the Assembly Navigator
Integrated collision checks and tolerance analyses; use of rules and inspection reports
Collaboration and Data Exchange in the Design Process
Drawing Creation (approx. 5 days)
Creating and editing drawing sheets
Part drawing
Assembly drawings
Creating and expanding symbol libraries
Model-Based Definition (MBD)
Product and Manufacturing Information (PMI)
Automation and API Integrations (approx. 2 days)
Creation and Use of Macros and Journals
Automation of inspection and modeling processes
Introduction to Automation with NX Open
Surface Modeling (approx. 3 days)
Reference Elements, Free-Form Curves, and Raster Images
Creating and editing surfaces
Transitions and free-form surfaces
Checking and Optimizing Surface Geometries
Application Example: Additive Manufacturing
Project work (approx. 10 days)
To consolidate the content learned
Presentation of the project results
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.
Upon completion of this course, you will be able to efficiently and precisely create complex 3D designs using Design Center. You will have a solid understanding of parametric and synchronous modeling, assembly development, technical drawing creation, and surface modeling for free-form geometries. In addition, you’ll learn about modern features for AI-powered support, automation, and verification of design processes. Knowledge of Convergent Modeling, Model-Based Definition, and Product Manufacturing Information will round out your skill set.
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.
The course is aimed at people with a degree in engineering and experience in the field of design, product designers, technicians, technical draughtsmen from the fields of mechanical or electrical engineering and specialists from other sectors with relevant professional experience.
The growing importance of Design Center (formerly Siemens NX) in automotive body manufacturing, mechanical engineering, and shipbuilding opens up countless new career opportunities for you.
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).