AI+ Data Agent™

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

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®

A future-oriented training course that makes working with data significantly smarter and brings together the latest AI trends in a practical way. The focus is on efficient workflows, intelligent automation, and highly adaptive agent systems.

Key topics

  • Development of AI-supported data processes.
  • Use of modern agent architectures.
  • Automated structuring, analysis, and provision of information.
  • Handling generative AI functions.
  • Efficient prompt strategies for data automation.

Prerequisites
Basic knowledge of digital tools and an interest in data-driven working methods.

Target group
Professionals who want to optimize processes and individuals who want to integrate AI-supported data usage into modern work environments.

A compact path to clear, AI-based data processes that provide measurable support in everyday life and put the digital workflow on a new footing.

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Course content
  • What is an AI agent?
  • Components of AI agents
  • Types of AI agents
  • Practical exercises: No-code AI and machine learning models for data agents
  • AI data agents
  • AI vs. AI data agent
  • Components of AI data agents
  • Types of AI data agents
  • Existing AI data agents that are currently trending
  • Steps in AI data collection Structure and plan
  • Methods of data collection
  • Data cleansing and transformation
  • Feature engineering for AI models
  • No-code AI data agent for preprocessing and feature engineering
  • Introduction to machine learning models for data agents
  • Model selection and training
  • Practical exercises: No-code AI and machine learning models for data agents
  • Ethical considerations regarding AI data agents
  • Security and privacy concerns
  • Problem
  • Practical implementation
  • Evaluation and optimization
  • No-code AI and machine learning models for data agents

Frequently asked questions

  • An AI Data Agent uses artificial intelligence to efficiently analyze, organize, and automatically provide data—for better decisions in real time.
  • They help control data floods, recognize patterns, and automate processes. This accelerates digital transformation in companies.
  • Technical understanding, data affinity, analytical thinking, and experience with AI tools, automation, and data-driven work are crucial.
  • Data agents act dynamically, AI-supported, and proactively. They automate analyses, think in a networked manner, and continuously optimize data-driven processes.
  • Basic knowledge is helpful, but not always required. Many modern tools enable automated workflows even without in-depth coding expertise.
  • Smart web tools such as ChatGPT, Notion AI, Google Sheets, AI bots for research, Power BI for data visualization, and automation services are used—directly in the browser and ready for practical use.
  • The AI Data Agent works operationally with intelligent systems, while the Data Scientist models complex algorithms. Both roles complement each other strategically.
  • Positions in data management, AI project management, process automation, business intelligence, or as a bridge between IT and specialist departments.

Do you have any further questions? Please contact us.