CTPM Academy
All learning formats

For your organisation

In-house training for AI, data & enterprise IT

Content, examples and pace aligned with your assignment and your team.

Explore in-house offersDiscuss your requirement
TailoredIn your contextWith transfer output
Stefan Müller working with a client team on processes and IT systems
Professional explanation meets the client’s real systems, processes and challenges.

How the format works

Your context becomes part of the training, not merely an example

In-house training starts with your actual situation: systems, data, processes, roles and objectives. We align content, depth and examples and can develop transfer deliverables that remain useful after the training.

Who it suits

For teams, business units and leaders who want to build shared knowledge and apply it directly to a concrete operational challenge.

How we work

After an initial discussion we structure objectives, starting point and content. For specialised or regulated sector questions, suitable experts are involved according to the topic-sector matrix.

Your benefit

More than another calendar appointment

In-house training becomes valuable when it moves measurably closer to actual work.

Real starting point

Your systems, data, processes and roles provide the context.

Shared understanding

Business, IT and leadership develop a dependable shared language.

Useful output

Where useful, the session produces prioritised questions, models, roadmaps or next work packages.

Scope, preparation, sector expertise, deliverables and price are offered after the preliminary discussion.

Relevant offers

Seminars and programmes in this format

Choose a published offer or discuss a suitable configuration with us.

Seminar finder

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17 matching seminars

Understand and use generative AI safely

In-house training

AI & Knowledge Engineering

Understand and use generative AI safely

In plain language Understand AI, try it out and assess results safely

Show content and terminology

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

What you will work on
  • Current models, tools & applications
  • Practical examples & exercises
  • Concrete transfer result
In-house trainingFoundation
on request
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Prompt engineering: better results with ChatGPT, Copilot & more

In-house training

AI & Knowledge Engineering

Prompt engineering: better results with ChatGPT, Copilot & more

In plain language Give better instructions and receive better AI answers

Show content and terminology

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

What you will work on
  • Systematic prompting
  • Improve & reuse prompts
  • Review & optimise results
In-house trainingFoundation
on request
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AI at work: improve productivity with text, documents and knowledge

In-house training

AI & Knowledge Engineering

AI at work: improve productivity with text, documents and knowledge

In plain language Work faster with texts, documents and knowledge

Show content and terminology

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

What you will work on
  • Text, documents, research & knowledge work
  • Workflows & process chains
  • Use documents & knowledge systematically
In-house trainingProfessional
on request
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SQL fundamentals and relational databases

In-house training

Databases & Data Integration

SQL fundamentals and relational databases

In plain language Select, join and analyse data safely

Show content and terminology

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

What you will work on
  • Understand relational databases
  • Select, filter and sort data
  • Aggregate and group data
In-house training1 dayFoundation
on request
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Lateral leadership: leading without formal authority

In-house training

Leadership & collaboration

Lateral leadership: leading without formal authority

In plain language Lead people and projects without being their manager

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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

What you will work on
  • Clarify role, assignment and mandate
  • Understand stakeholders and interests
  • Communicate clearly at eye level
In-house training1 dayProfessional
on request
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AI workflows and process automation

In-house training

AI & Knowledge Engineering

AI workflows and process automation

In plain language Turn individual AI requests into a controlled workflow

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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

What you will work on
  • Workflows & process chains
  • Databases, interfaces, ETL & enterprise software
  • Quality & control points
In-house trainingProfessional
on request
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AI for requirements engineering and business analysis

In-house training

Requirements & Business Analysis

AI for requirements engineering and business analysis

In plain language Use AI to discover, improve and review requirements

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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

What you will work on
  • Workflows & process chains
  • Quality & control points
  • Enterprise IT & project cases
In-house trainingProfessional
on request
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AI for project management and project control

In-house training

Project Delivery & Implementation

AI for project management and project control

In plain language Use AI to prepare, structure and manage projects more clearly

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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

What you will work on
  • Workflows & process chains
  • Enterprise IT & project cases
  • Concrete transfer result
In-house trainingProfessional
on request
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AI for software development, architecture and testing

In-house training

Software Architecture & ModernisationQuality & Testing

AI for software development, architecture and testing

In plain language Use AI to understand, build and test software

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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

What you will work on
  • Review & optimise results
  • Quality & control points
  • Enterprise IT & project cases
In-house trainingProfessional
on request
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Enterprise AI: organisational knowledge, RAG and data integration

In-house training

AI & Knowledge EngineeringDatabases & Data Integration

Enterprise AI: organisational knowledge, RAG and data integration

In plain language Create reliable AI answers from your own documents and data

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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

What you will work on
  • Confidential information & organisational data
  • Use documents & knowledge systematically
  • Databases, interfaces, ETL & enterprise software
In-house trainingProfessional
on request
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AI governance, quality and responsible use

In-house training

AI & Knowledge EngineeringQuality & Testing

AI governance, quality and responsible use

In plain language Use AI without losing control, quality or accountability

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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

What you will work on
  • Confidential information & organisational data
  • Quality & control points
  • Concrete transfer result
In-house trainingProfessional
on request
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Analyse and modernise legacy systems with AI

In-house training

Software Architecture & Modernisation

Analyse and modernise legacy systems with AI

In plain language Understand established software and knowledge faster with AI

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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

What you will work on
  • Workflows & process chains
  • Databases, interfaces, ETL & enterprise software
  • Enterprise IT & project cases
In-house trainingProfessional
on request
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Requirements engineering in practice: elicit, document and review requirements

In-house training

Requirements & Business Analysis

Requirements engineering in practice: elicit, document and review requirements

In plain language Discover what is really needed and describe it clearly

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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

What you will work on
  • Practical examples & exercises
  • Quality & control points
  • Enterprise IT & project cases
In-house trainingProfessional
on request
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Software architecture in practice: design and modernise systems

In-house training

Software Architecture & Modernisation

Software architecture in practice: design and modernise systems

In plain language Plan software systems clearly and evolve them safely

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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

What you will work on
  • Practical examples & exercises
  • Quality & control points
  • Enterprise IT & project cases
In-house trainingProfessional
on request
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Data modelling and SQL for relational databases

In-house training

Databases & Data Integration

Data modelling and SQL for relational databases

In plain language Organise data meaningfully and query it reliably with SQL

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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

What you will work on
  • Practical examples & exercises
  • Quality & control points
  • Concrete transfer result
In-house trainingProfessional
on request
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ETL processes and data integration

In-house training

Databases & Data Integration

ETL processes and data integration

In plain language Combine data from several systems and process it transparently

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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

What you will work on
  • Practical examples & exercises
  • Databases, interfaces, ETL & enterprise software
  • Quality & control points
In-house trainingProfessional
on request
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Oracle databases and PL/SQL in practice

In-house training

Databases & Data Integration

Oracle databases and PL/SQL in practice

In plain language Understand Oracle databases and build robust PL/SQL solutions

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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

What you will work on
  • Practical examples & exercises
  • Quality & control points
  • Enterprise IT & project cases
In-house trainingProfessional
on request
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