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100% fundable

AI+ Quantum Practitioner™

Quantum-based computing approaches and AI complement each other as one of the most powerful technology combinations of our time. Understanding both fields opens up entirely new ways to tackle optimization problems, data analysis, and learning processes. This training delivers exactly that knowledge – structured, application-oriented, and hands-on.

Key topics

  • How quantum algorithms and classical AI methods work together
  • Exploring quantum mechanical fundamentals in the context of intelligent systems
  • Solving optimization tasks, data simulation, and quantum-based processing
  • Applying quantum machine learning and deep learning in practice
  • Contextualizing current application areas, technological developments, and future investment fields

Prerequisite
A basic understanding of data work, technology, or analytical thinking is sufficient – specific prior knowledge in quantum physics or mathematics is not required.

Target group
Developers, data analysts, researchers, and managers from IT and technology who want to understand and apply quantum-based AI methods in a targeted way.

Quantum computing and AI are among the strategic fields of the next decade. Investing in this knowledge today builds expertise for challenges that can no longer be solved with classical methods.
 

course content
  • Reviewing key AI concepts and their foundations
  • Refreshing essential quantum computing principles
  • Understanding quantum gates and their mathematical representation
  • Multi-qubit systems and complex gate combinations
  • Core quantum algorithms and how they work
  • QFT and variational quantum algorithms in practice
  • Solving regression and classification tasks with quantum approaches
  • Dimensionality reduction and clustering in a quantum context
  • Quantum-based neural network algorithms – step one
  • Quantum-based neural network algorithms – step two
  • Knowing and applying ethical guidelines for AI systems
  • Ethical challenges in the use of quantum computing
  • Current tools, frameworks, and developments at a glance
  • Investment fields and the quantum computing outlook
  • Real quantum use cases from industry and research
  • QML case studies: what works and what doesn’t
  • Project I – implementing QSVM on the Iris dataset
  • Project II – applying VQC/QNN to the Iris dataset
  • Bonus: working with the IBM quantum computer
  • Clarifying the concept and definition of AI agents
  • Understanding AI agent capabilities in quantum environments
  • Applications and current trends for quantum AI agents
  • How an AI agent works – explained
  • Key features and characteristics of AI agents
  • Agent types and their specific properties

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.