Training: Innovative Engineering

The Innovative Engineering training course is aimed at engineers and employees in technical fields who want to tackle the complex challenges of modern product development. In an age of rapidly changing technological innovations and market requirements, it is crucial to master advanced methods and approaches in order to develop products efficiently. Our training provides you with comprehensive knowledge in key areas such as systems engineering, innovation management, product lifecycle management, data analytics, and artificial intelligence in the development environment. We place particular emphasis on practical relevance so that you can immediately apply the concepts, methods, and tools you have learned in your everyday work.

An essential part of the training is the combination of theoretical principles and practical applications. Targeted exercises in a motivating learning environment give you the opportunity to deepen your skills in realistic scenarios. This not only promotes your understanding of complex systems, but also increases the efficiency of your development work. The trainers at Fraunhofer IEM bring extensive experience from industry and research to the table, allowing you to benefit from their expertise and the proven methods of Fraunhofer IEM.

The training is characterized by a scientific foundation in all modules and teaches current approaches in engineering, ensuring that you are up to date with the latest technology. The combination of modules opens up new perspectives for future-oriented development. The combination of classroom training and live online phases ensures a flexible and effective learning experience that can be easily integrated into your everyday work.

• You will gain a thorough understanding of the challenges of modern product development and learn how to effectively apply systems engineering to improve integration and efficiency in your development processes.
• You will gain valuable insights into product lifecycle management (PLM) to optimally control the lifecycle of your products and increase your competitiveness.
• You will learn how to use data effectively to make informed decisions and optimize your development processes.
• You will learn how to integrate artificial intelligence into the development process to shorten innovation cycles and increase product quality.
• Through the basics of innovation management, you will learn strategies for promoting creativity and systematically generating new ideas.
• Using case studies and concrete practical examples, you will directly apply the knowledge you have learned and develop practical solutions.
• You will benefit from exchanges with experts by discussing challenges, solutions, and best practices, thereby expanding your network.

• What is systems engineering and how can I effectively integrate it into my development process?
• What are the best practices in product lifecycle management (PLM)?
• What is data analytics and how can I use it to make informed decisions?
• What role does artificial intelligence play in product development and what are some use cases?
• How can I promote creativity and innovation in my team?
• How can I implement the methods I have learned in my company?

Module 1: Basic concepts of systems engineering

• Motivation for systems engineering 
• Terms & definitions
• ISO 15288: The central standard for systems engineering 

Module 2: Requirements Management

• Identifying requirements
• Formulating requirements & creating use cases
• Consistency of requirements & use of tools

Module 3: Architecture and Design

• Functional Architecture
• Logical Architecture
• Decision Making & Documentation

Module 4: Integration, Verification, and Validation

• Verification and validation methods
• Integration processes
• Tools and software to support integration and verification processes

Module 5: Fundamentals of Innovation Management

• Managing innovation in the age of digitalization – the big picture
• Approaches to promoting creativity and methods for systematically developing new ideas
• Innovation management toolkit

Module 6: Technical Management

• Project planning and control
• Risk management strategies for minimizing technical challenges.
• Configuration management & quality assurance

Module 7: Product Lifecycle Management

• Development of a digital product model
• Significance and implementation of PLM processes
• Practical implementation of PLM in companies

Module 8: Data Analytics & KI

• Industrial data analytics use cases – artificial intelligence in practical application
• Data structures & methods for data visualization
• Modeling & machine learning

Module 9: AI in Engineering

• Introduction to key AI terms and technologies (e.g., RAG, AI agents, fine-tuning, MCP)
• Structured overview of typical use cases and their classification in the technical environment.
• Challenges in integrating AI and success factors from practical experience.

Module 10: Vibe-Coding

• Agile methods and their application in modern software development.
• Tools and frameworks that support the vibe coding approach
• Quality assurance & trustworthiness

Our “Innovative Engineering” training course is aimed at a broad group of people from the engineering field, including:

• Engineers
• Product developers and designers
• Technology and innovation managers
• Technical project managers
• Consultants in the technical field