AI Manager

Course overview

✅ Python • Object-oriented programming with Python • Vector and matrix operations with Numpy • Data manipulation and analysis with Pandas • Data visualization with Matplotlib and Seaborn • Web scraping with Beautiful Soup • Time series • Exploratory Data Analysis (EDA) • Individual project work ✅ Big Data • Creating workflows with KNIME, Low-Code • Data preparation with KNIME • Data visualization with KNIME • SQL databases (MariaDB, PostgreSQL) • Document-oriented NoSQL database MongoDB • Graphical representation of data with MongoDB and Neo4jDB • Data analysis and visualization with Orange • Individual project work ✅ Business Intelligence • Business Intelligence with Power BI, KNIME, and Tableau • Data Warehousing • ETL, complex transformations vs. ELT, Data Warehouse • ETL with KNIME, SSIS, Pentaho • Dimensional Modeling with Power BI • Data Transformation with Power BI and Tableau • Key Performance Indicator, KPI • Dashboards in Business Intelligence • Individual project work ✅ Artificial Intelligence Applications Application areas and real case studies Data Mining Artificial Intelligence (AI) and eXplainable AI (XAI) Low-Code problem-solving in the areas of: • Data access • Data manipulation • Visualization and analytics The architecture of information processing: • Creating a personalized chatbot • Learning AI algorithms • Creating workflows for Artificial Intelligence • AI agents • Multi-AI agents • Multi-AI agent frameworks At the end of each learning unit, you will create an individual project work on a self-chosen topic. This practical task gives you the opportunity to apply and consolidate your newly acquired knowledge and technical skills in a realistic scenario. With your project work, you lay the foundation for a convincing portfolio.

Upcoming dates

• 2026-11-01T23:00:00.000Z · 2027-02-25T23:00:00.000Z · Virtuelles Klassenzimmer

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