Live online seminars for AI & Enterprise IT

We explain the key concepts with familiar examples. You try AI, compare results and learn to distinguish useful answers from risky ones.

Technical terms you will learn Generative KI, Large Language Models (LLM), Halluzinationen, Prompting

A prompt is an instruction to AI. You learn to describe the task, context, goal and output format so that usable results can emerge.

Technical terms you will learn Prompt Engineering, Kontext, Few-Shot Prompting, Iteration, Promptbibliothek

You work on typical tasks such as drafts, summaries, comparisons and research and develop reusable, controlled working patterns.

Technical terms you will learn KI-Assistenz, Wissensarbeit, Dokumentenanalyse, Zusammenfassung, Qualitätsprüfung

Start with tables, rows and columns, then select, filter, sort, join and aggregate data. Differences between standard SQL, Oracle, MySQL and MariaDB are explained where they matter in practice.

Technical terms you will learn Relational database, table, primary key, foreign key, SELECT, WHERE, JOIN, GROUP BY, NULL, DML

Lateral leadership means providing orientation and enabling collaboration when team members do not report to you. This seminar combines established leadership tools with enterprise IT, project and responsible skipper experience.

Technical terms you will learn Lateral leadership, stakeholders, mandate, role clarity, briefing, debriefing, decision-making, conflict clarification, commitment

You examine a real workflow step by step and decide where AI helps, which data flows and where review and approval are required.

Technical terms you will learn KI-Workflow, Prozesskette, Automatisierung, Kontrollpunkt, Human-in-the-Loop

You use AI as an assistant for interviews, document analysis, requirements and reviews without handing over professional responsibility.

Technical terms you will learn Requirements Engineering, Businessanalyse, User Story, Akzeptanzkriterium, Traceability

You test AI for planning, risks, meetings and decisions and learn to review and reuse results transparently.

Technical terms you will learn Projektstruktur, Risikoanalyse, Stakeholder, Statusbericht, Entscheidungsgrundlage

You learn how AI can explain technical assets, support designs and propose tests, and which reviews remain mandatory.

Technical terms you will learn Coding Assistant, Softwarearchitektur, Testgenerierung, Code Review, Quality Gate

RAG means that AI first searches approved enterprise sources and then formulates an answer grounded in the available knowledge.

Technical terms you will learn Retrieval-Augmented Generation (RAG), Embeddings, Vektorsuche, Quellenbezug, Knowledge Engineering

You define clear rules: who may use which AI for what, which data is permitted, who reviews results and how decisions are documented.

Technical terms you will learn KI-Governance, Responsible AI, Datenschutz, Freigabe, Audit Trail

You systematically explore code, documents, data models and interfaces and build a reliable picture for safe change.

Technical terms you will learn Legacy-Analyse, Reverse Engineering, Modernisierung, Wissenserschließung, Zielarchitektur

You learn to capture stakeholder needs, make contradictions visible and formulate verifiable requirements.

Technical terms you will learn Requirements Engineering, Erhebung, Modellierung, Spezifikation, Review, Traceability

You translate goals and quality needs into understandable components, interfaces and decisions for new or established systems.

Technical terms you will learn Softwarearchitektur, Architekturentscheidung, Schnittstelle, Qualitätsattribut, Modernisierung

You learn what business objects need to be stored, how they relate and how clear and correct SQL queries are built.

Technical terms you will learn Datenmodellierung, Entität, Beziehung, Normalisierung, SQL, relationales Datenmodell

ETL means extracting data from sources, transforming it and loading it into a target under defined quality and error rules.

Technical terms you will learn Extract Transform Load (ETL), Datenmapping, Schnittstelle, Datenqualität, Fehlerbehandlung

You combine SQL foundations with PL/SQL program logic and learn to build structured, transparent and reliable database code.

Technical terms you will learn Oracle Database, SQL, PL/SQL, Package, Transaktion, Performance