AI+ Researcher™

Price
Net: 397,00 €
VAT.: 75,43 €

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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Data, AI, and research are converging. Modern organizations need people who can evaluate information in a structured manner, use AI sensibly, and classify results in an understandable way. This continuing education program imparts up-to-date knowledge at the interface of research, data analysis, and artificial intelligence—in a clear, practical, and contemporary manner.

Key topics

AI-supported research and information evaluation.
Data analysis, pattern recognition, and insight generation.
Working with AI models and research tools.
Quality, ethics, and transparency in AI processes.
Preparation and communication of results.

Prerequisite
Basic understanding of digital tools and analytical thinking.

Target group
Professionals from business, consulting, analysis, strategy, innovation, and science with an interest in AI-supported research.

The course provides a sound overview of modern research work with AI, which provides guidance, enhances quality, and provides long-term support for the professional handling of data-based decisions.

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course content

Introduction to Artificial Intelligence for Researchers

Understanding AI, machine learning, and deep learning
Overview of AI tools and technologies
Impact of AI on research

AI in market research

Introduction to AI in market research
Target group analysis and creation of personas using AI
Use of AI for branding and marketing insights

Using AI for scientific discoveries

AI in data science and analysis
Machine learning models in scientific research
AI for drug discovery and advanced research

AI for academic and scientific research

Integrating AI into academic workflows
Ethical considerations regarding the use of AI in science
AI tools for improving academic research and scientific writing

Improving research with AI tools

AI for qualitative and quantitative research
AI tools for data visualization and analysis
Case studies on AI in research

AI for research design and methodology

Innovative research design with AI
AI in the design and implementation of surveys
Operational efficiency and AI

Ethical and responsible use of AI in research

Ethical considerations in AI research
Data protection and AI
Development and implementation of ethical AI guidelines

The future of AI in research

New trends in AI research
Preparing for the AI-driven future of research

Optional module: AI agents for researchers

What are AI agents?
Important capabilities of AI agents in research
Applications and trends for AI agents in research
Advantages of AI agents in research
How does an AI agent work?
Key features of AI agents
Types of AI agents

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is the AI+ Researcher™ certification course?

A compact AI research course that demonstrates how artificial intelligence is used in modern research processes and how AI tools support the entire research workflow.

Which AI tools are presented in the AI+ Researcher™ course?

The course introduces important tools such as ChatGPT, Bard, data analysis software, and machine learning platforms.

How does the course help with data analysis?

The course demonstrates how AI collects, cleans, visualizes, and interprets data to achieve faster and more in-depth research results.

How does the course support academic writing?

The course presents tools and methods that facilitate literature-based research, reference management, and AI-supported writing processes.

What practical skills does the course provide?

Participants practice data preparation, AI-supported analysis, pattern recognition, and research automation.

How can AI help with literature reviews?

AI tools are used to search through large amounts of text, create summaries, and identify relevant studies more quickly.

Is the course suitable for beginners?

Yes, the course does not require any in-depth technical knowledge, but explains AI concepts and tools in a practical way.

How does the course strengthen your career?

Participants gain skills in modern AI tools and methods that are in demand in research, science, and industry.

Do you have any further questions? Please contact us.

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