Qualification

Customized qualification offers

Tailored qualification for your digital success

The successful implementation of technological innovations depends largely on the people who shape them. That is why fortiss supports companies with targeted training programs for digital transformation and the adoption of new technologies.

Our programs combine cutting-edge research with practical learning formats and are designed for a variety of audiences—from development teams to senior management. We provide practical expertise that can be directly applied in a corporate setting.

Through seminars, workshops, or digital formats, our experts bring methods, tools, and the latest insights into your organization—for example, from fields such as systems engineering, test automation, or artificial intelligence. The content is precisely tailored to your needs and can be flexibly integrated into existing structures.

This allows you to lay the foundation not only for understanding new technologies, but also for embedding them sustainably within your company and further developing them.

Your benefits at a glance

Practical and well-founded
A combination of theory and application for direct transfer into everyday work
Holistic overview
From fundamentals and methods to the entire software development lifecycle (SDLC)
Up to date and future-oriented
Contextualization of new technologies, tools, and developments in software engineering
Applicable in organizations
Focus on introduction, implementation, and sustainable integration within the organizational context

Our formats – as flexible as your needs

We support your organization with individually tailored training programs, adapted to your specific topics and timelines. By providing in-depth expertise, we enable your employees to acquire the competencies needed for specific digitalization topics and future-relevant challenges.

Whether as a training session, webinar, or workshop: our content is designed for different target groups – from development teams to management level. We precisely tailor each format to your specific requirements.

Requirements engineering

Using requirements management to find the right software solution

Minimize project risks through professional requirements engineering, which serves as the foundation for both in-house and outsourced software solutions.
Data-driven process engineering

Leveraging data to improve processes

Data-driven analysis creates transparency across processes, identifies weaknesses, and supports the optimization of operational workflows. You gain practical insights into process improvement methods.
Model-based systems engineering

Fundamentals and potential

Master complex system development with Model-Based Systems Engineering. Apply the SPES methodology to structure development processes and minimize project risks.
Software-defined vehicle

Challenges and opportunities for vehicle development

Strengthen the competitiveness of your vehicle development through a focused software approach. Define the technological steps towards Software-defined Vehicles.
Requirements engineering for AI systems

Intelligent requirements for intelligent systems

Precise requirements form the foundation for robust AI systems and the reliable handling of probabilistic models. You deepen your knowledge of analysis approaches and evaluation methods for stable, ethical, and compliant solutions.
Maschine Learning

Applications in industry

Unlock industrial potential through the targeted use of machine learning. Learn the process from data acquisition to the development of your own powerful algorithms.
Edge AI

The future of data processing

Optimize data processing in industrial applications through decentralized AI. The focus is on modern edge controllers and their use in low-latency, highly available assistance systems.
Edge AI | Neuromorphic computing

Energy-efficient AI for intelligent systems

In this workshop, you will learn how to implement AI more efficiently and in a way that conserves resources. You will gain insights into methods for reducing memory, computing, and energy requirements, evaluate edge AI technologies, and discover neuromorphic computing as a future approach to AI.
Machine learning

Training camp for techniques and applications

Deepen your expertise in machine learning methods for industrial applications. The course covers mathematical foundations, complex models, and their transfer into scalable solutions.
Deep Fakes

Examples and detection strategies

Strengthen your organization’s ability to detect manipulated media and assess risks from misinformation. Covered topics include ML algorithms, detection strategies, and protective measures.
AI agents

Efficient workflows with intelligent assistance systems

AI agents enable more efficient workflows through intelligent assistance systems. Gain insights into autonomous agents, EU AI Act requirements, and ethical guidelines.
AI agents

A new approach to software development

Increase the efficiency of your software development with AI agents for automated code generation and error analysis. The focus is on autonomous tools and modern Dev processes.
LLM systems

Measuring quality and making informed decisions

Objective evaluation of probabilistic models creates transparency in the use of language models. You understand evaluation methods and requirements for robust software architectures.
Prompt engineering

Effective AI communication for small and medium-sized businesses

Use structured prompt techniques and reasoning strategies for more precise communication with LLMs. The focus is on methods for effectively controlling AI systems.
Energy management with sector coupling

Smart integration of electricity and heat at the district level

ntelligent integration of electricity and heat systems enables more efficient energy planning in districts. You gain insights into load shifting, planning tools such as EQuiP, and AI-based forecasting.
Smart energy management

AI and renewable energy for the buildings of tomorrow

Intelligent management systems synchronize energy supply and demand and create the basis for efficient building operation. Discover how AI applications support storage systems and energy management.
Smart solar box DIY

Build your own smart power supply

Mobile solar energy with intelligent sensor technology enables flexible power supply. The course covers hardware selection, IoT control, and the setup of autonomous systems.
Blockchain

Technology and application

Distributed ledger technologies open new opportunities for digital business processes and IT architectures. You explore methods for evaluating potentials and analyzing business requirements.

AI tutorials – knowledge on demand

Our tutorials and webinars cover key topics across the entire software engineering domain – from software and systems engineering, AI engineering, machine learning, and artificial intelligence to IoT engineering and modern software architectures. The content is available flexibly as an on-demand offering and can be accessed independently of time and location. In addition, selected webinars can also be delivered as in-person sessions on site if required.

AI tutorial Predictive Maintenance

Condition assessment of complex systems using machine learning

Machine learning enables early detection of equipment conditions and potential failures. You gain knowledge of methods, fundamentals, and software libraries for predictive maintenance.
AI tutorial Time Series Forecasting

AI-powered forecasts for data-driven decisions

AI-based forecasts support data-driven decisions and the assessment of future developments. You apply time series analysis, simulation, and automated optimization processes in practice.
AI tutorial Intelligent Control

Intelligent process control using machine learning

Machine learning enables intelligent process control and improved management of complex workflows. The tutorial introduces code frameworks and control approaches using a practical example.

Request a customized format

Interested in one of our formats? Or looking for a custom selection of topics? Feel free to send us a non-binding inquiry.

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