Reviews 4,2
Reviews 4,5
100% fundable

AI+ Researcher Practitioner™

Research is becoming faster, more data-driven, and more complex. Those who want to generate insights systematically need confident skills with AI tools – structured, methodical, and tailored to the demands of modern knowledge work. This training shows how AI and research can work together productively.

Key topics

  • Methods of AI-supported information gathering and source evaluation.
  • Statistical analysis, pattern recognition, and deriving actionable insights.
  • Practical use of research tools and language-based AI models.
  • Ethical standards, transparency, and traceability in AI processes.
  • Preparing results and communicating findings to target audiences.

Prerequisite
A basic understanding of digital applications and an analytical approach to work are expected.

Target group
Suitable for professionals in analysis, consulting, strategy, and science who want to integrate AI purposefully into their research work.

The outcome: a practice-oriented competency framework that makes AI tools approachable and sustainably improves the quality of research work.
 

course content
  • How AI, machine learning, and deep learning work
  • Key AI tools and their applications in research settings
  • Ways in which AI is transforming scientific processes
  • How AI is reshaping market research processes and efficiency
  • Developing audience understanding and personas with AI support
  • AI-driven insights for brand positioning and marketing strategies
  • Data-driven approaches in science and research enabled by AI
  • Machine learning for pattern recognition in scientific datasets
  • AI applications in drug development and cutting-edge research
  • AI-supported optimization of academic work processes
  • Responsible handling of AI in scientific contexts
  • Tools for enhancing research efficiency and academic writing quality
  • AI methods for qualitative and quantitative research approaches
  • Visualizing and evaluating research data with AI support
  • Real-world examples of AI in research practice
  • New approaches to research design through AI-assisted planning
  • Designing and evaluating surveys with AI support
  • Efficiency gains in research organization through AI
  • Core principles and questions around ethics in AI research
  • Data security, privacy, and legal frameworks
  • Developing guidelines for ethically responsible AI use
  • Current and emerging developments in the AI research landscape
  • Strategies for preparing for AI-driven changes in science
  • Definition: what are AI agents and how do they operate?
  • Key capabilities of autonomous AI agents for research tasks
  • Practical scope: use cases and current trends in AI agents
  • Added value and efficiency gains through AI agents in research
  • Technical foundations: how an AI agent is built and functions
  • Core characteristics of modern AI agents
  • Different agent types and their respective application scenarios

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.