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Certificates: "Electromobility project manager" certificate
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Additional Certificates: Electromobility" certificate
Basic certificate in project management (GPM)® from PM-Zert
"Six Sigma Green Belt" Certificate -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Zertifizierung durch die PM-ZERT, Zertifizierungsstelle der GPM Deutsche Gesellschaft für Projektmanagement e. V.
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
Electromobility
Introduction to Electric Mobility (approx. 1.5 days)
The Mobility Transition and the Current Market Situation
Overview of Application Areas (Passenger Cars, Commercial Vehicles and Buses, Two-Wheelers and Micromobility, Rail, Marine and Aviation, Mobile Work Machines, Intralogistics)
Key Players and the Value Chain
Structure and Operation of Electric Vehicles (approx. 1 day)
Propulsion Concepts (BEV, PHEV, HEV, FCEV)
Design and Key Components
Distinctive Features by Vehicle Class
Electric Drives and Power Electronics (approx. 3 days)
Operating Principles and Major Types of Electric Vehicle Motors
Energy flow, efficiency, and regenerative braking
Functions of the inverter, DC-DC converter, and on-board charger
Battery Technology (approx. 2 days)
Structure of Lithium-Ion Batteries and Common Cell Chemistries
Battery management and thermal management
Aging, Service Life, and State of Charge
Safety in Electric Mobility (approx. 1 day)
Functional Safety—Fundamentals (ISO 26262)
Electrical Hazards and Basic Protective Measures
Safety Aspects of Vehicles, Batteries, and Charging Systems
Overview of Qualification Requirements for Working on High-Voltage Systems
Range and Fuel Consumption (approx. 1 day)
Impact of driving profile, temperature, and auxiliary power consumers
Comparison of Standard Fuel Consumption and Real-World Fuel Consumption
Simple consumption and range calculations
Charging, Charging Infrastructure, and Grid Integration (approx. 3 days)
AC and DC charging, common connectors, charging power, and charging times
Charging demand and fundamentals of charging infrastructure planning
Grid connection, load management, and integration of renewable energy
Smart Charging
Bidirectional charging and Vehicle-to-Grid (V2G)
AI Applications in Electric Mobility (approx. 1 day)
Practical examples of charging planning, battery health assessment, and fleet management
Benefits and Limitations of AI-Based Applications
Data quality, error risks, and limitations of AI systems
Economic Viability, Business Models, and Framework Conditions (approx. 2 days)
Capital and operating costs, as well as total cost of ownership (TCO)
Fundamentals of Fleet Electrification
Business Models (Charging Rates, Car Sharing, Subscription and Leasing Models, Energy Services)
Overview of Subsidies and Incentive Programs
Overview of the regulatory framework
Environmental Footprint and Circular Economy (approx. 1 day)
Environmental Impacts of Manufacturing, Use, and Recycling
Impact of battery size, service life, and electricity mix
Fundamentals of Battery Recycling
Future Prospects and Technologies (approx. 0.5 days)
Market Ramp-Up and Future Mobility
Hydrogen, Fuel Cells, Synthetic Fuels
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Project management
Artificial intelligence (AI) in project management (approx. 1 day)
Presentation of specific AI technologies
Recommendations for dealing with AI
Prompting in a professional context
Context skills (approx. 3 days)
Governance, structures and processes
Strategy
Power and interests
Personal and social skills (approx. 1 day)
Personal communication
Technical skills (approx. 10 days)
Project design
Agile project management
Organization, information and documentation
Opportunities and risks
Requirements and goals
Scope of services and deliverables
Process and deadlines
Stakeholders
Resources
Costs and financing
Planning and control
Project work, certification preparation and certification examination in project management (approx. 5 days)
By PM-ZERT, certification body of the GPM Deutsche Gesellschaft für Projektmanagement e. V.
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 have a solid understanding of electric mobility, its technical fundamentals, and current developments. You will be able to evaluate various propulsion systems, assess the opportunities and challenges of the mobility transition, and plan and present your own projects in a practical manner. You will have mastered basic project management techniques and be able to apply them. You will also be able to independently and successfully implement Six Sigma projects in accordance with ISO 13053-1 (DMAIC).
New graduates and career changers from sales, product development, mechanical engineering, electrical engineering, business, and mechatronics, as well as specialists and managers at manufacturers and suppliers who want to prepare for the challenges and opportunities of the transition to electric mobility.
The challenges of climate policy are prompting a shift in thinking within the industry: In Germany, the focus is primarily on electric motors. Project managers with expertise in electric mobility therefore have numerous exciting new opportunities across all technical sectors.
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).