Live online seminar · AI & Knowledge Engineering
Prompt engineering: better results with ChatGPT, Copilot & more
In plain language Give better instructions and receive better AI answers
Develop, test and reuse prompts systematically.
A prompt is an instruction to AI. You learn to describe the task, context, goal and output format so that usable results can emerge.

Reliably planned
What is included with this seminar
Current market-standard content is included as a matter of course. CTPM+ makes the transfer to your IT, data and process practice visible.
- 01EntryBuild sound foundations
- 02ApplicationApply methods in practice
- 03SpecialisationDeepen roles and systems
- 04Transfer & coachingImplement a concrete result
Delivery
Choose the right format
Compare delivery, duration, price and configuration. In-person and in-house formats are aligned with your group, location and assignment.
Live online seminar · 0.5 day
A focused half day with prompting exercises, feedback and reusable patterns.
- Duration
- 0.5 day
- Level
- Foundation
- Location
- Online
CTPM+ is included in the seminar price.
Ask about availabilityIn-person seminar · tailored
Content, examples, duration and transfer are tailored to the audience and assignment.
- Duration
- By arrangement
- Level
- Foundation
- Location
- Academy venue
Duration, scope and price are proposed after professional scoping.
Ask about availabilityIn-house training · client-specific
Content, examples, systems and priorities are prepared with the client.
- Duration
- By arrangement
- Level
- Foundation
- Location
- At the client site
Duration, scope and price are proposed after professional scoping.
Ask about availabilityLearning content
What you will work on in this seminar
The modules make scope, priorities and intentional boundaries transparent.
Planned learning scope: 0.5 day. The offered format covers 0.5 day, including breaks, questions and transfer phases.
Learn which tasks generative AI can support reliably and where probabilistic output, hallucinations, bias, context limits or outdated knowledge create risk. Common failure modes are recognised, assessed and connected to appropriate checks.
Suggested seminar agendaBuilt from this delivery’s learning modules
- Capabilities, limits & common failure modes20 minutes
- Systematic prompting45 minutes
- Improve & reuse prompts40 minutes
- Review & optimise results35 minutes
- Practical examples & exercises30 minutes
- Reusable prompt, analysis & workflow templates25 minutes
- Concrete transfer result15 minutes
- Adaptation to audience, knowledge & assignment
The sequence may be adapted to the group, prior knowledge and questions; the stated learning outcomes remain binding.
Compare 32 additional modulesThese topics are intentionally not included in this seminar and are shown only for comparison.
Current models, tools & applications
Content and learning objective+
Distinguish language models, AI services, copilots and specialised tools by task, data access and degree of integration. Criteria such as output quality, data protection, cost, currency and integration into existing workplaces make selection transparent.
Text, documents, research & knowledge work
Content and learning objective+
Work on common tasks such as drafting, summarising, comparing, extracting, classifying and preliminary research. Clarify required inputs, result validation and where AI usefully supports the existing workflow.
Confidential information & organisational data
Content and learning objective+
Classify personal, confidential and business-critical information and decide what data an AI service may process. Anonymisation, permissions, provider settings, internal rules and safer alternatives are assessed through practical situations.
Course materials & job aids
Content and learning objective+
Receive and use checklists, structures, examples and concise references that remain useful after the seminar. Materials are not merely distributed; they are explained and related to common application situations.
Workflows & process chains
Content and learning objective+
Map a real workflow with triggers, inputs, roles, decisions, handovers and outputs. Assess where AI can help, which controls are required and how a reliable pilot fits into the process chain.
Use documents & knowledge systematically
Content and learning objective+
Discover existing text, documents and knowledge through source structure, metadata, terminology and suitable search or retrieval approaches. Quality, currency, permissions and the limits of a RAG or knowledge solution are made explicit.
Databases, interfaces, ETL & enterprise software
Content and learning objective+
Place data objects, databases, interfaces, ETL pipelines and enterprise software into one coherent solution view. System boundaries, data flows, responsibilities, error paths and operational requirements are considered.
Quality & control points
Content and learning objective+
Define measurable expectations, validation rules and approval points for inputs, processing and outputs. Sampling, logging, escalation and human accountability create controlled use instead of blind trust.
Enterprise IT & project cases
Content and learning objective+
Work on realistic cases from requirements engineering, business analysis, project management, development, architecture, quality and testing. Roles, system dependencies, trade-offs and technical constraints are explicitly included.
Collaboration with sector experts
Content and learning objective+
For regulated, safety-critical or highly specialised content, the roles and responsibilities of a dual-instructor team are defined. CTPM covers AI, IT, data, architecture and methodology; the sector expert adds processes, terminology and binding requirements.
Requirements engineering & business analysis
Content and learning objective+
Structure stakeholders, objectives, system boundaries and requirements using suitable elicitation, modelling and documentation techniques. Quality criteria, acceptance conditions, reviews and traceability connect business and delivery.
Software architecture & modernisation
Content and learning objective+
Derive architecture goals from business and quality requirements and structure components, interfaces and responsibilities. Architecture decisions, risks, modernisation steps and transparent documentation are assessed together.
Data modelling, SQL & databases
Content and learning objective+
Transform business concepts and rules into conceptual, logical and relational data models. Keys, relationships, normalisation, integrity, SQL queries and performance are treated as connected design decisions.
ETL, interfaces & data integration
Content and learning objective+
Design the path from source to target systems with mappings, transformations, loading approaches and quality rules. Delta logic, error handling, restart, monitoring, metadata and lineage are considered from the start.
Legacy analysis & knowledge retention
Content and learning objective+
Capture functions, data, interfaces, dependencies, documentation and implicit knowledge in an established solution. Risks and unknown areas become visible so modernisation can proceed incrementally without uncontrolled changes to current behaviour.
Understand relational databases
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Select, filter and sort data
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Aggregate and group data
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Join tables safely
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Classify data changes safely
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Distinguish standard SQL, Oracle, MySQL and MariaDB
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Translate business questions into SQL
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Validate results technically and functionally
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Oracle SQL & PL/SQL
Content and learning objective+
Work with Oracle-specific SQL and PL/SQL from data access and transactions to procedures, functions and packages. Exception handling, performance, testing, interfaces and maintainability are connected through realistic database tasks.
Clarify role, assignment and mandate
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Understand stakeholders and interests
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Communicate clearly at eye level
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Prepare and represent decisions
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Address resistance and conflict early
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Create commitment without hierarchy
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Use briefing and debriefing effectively
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
Lead under uncertainty and secure transfer
Content and learning objective+
Practical module with explanation, exercise, reflection and a reusable transfer result.
The complete professional standard
Fundamentals, current tools, prompting, exercises, output review, privacy, security and responsible use are taught clearly and practically.
More transfer through senior practice
CTPM+ connects learning to roles, documents, knowledge, processes, data, interfaces, architecture and a realistic next implementation step.
An academy that enables learning
We do not merely repeat terminology. We make it usable.
More than 25 years of adult education and thousands of participants in IT and Oracle topics shape our approach: explain clearly, practise together, review critically and transfer safely.
We connect new terminology immediately with plain language and a familiar problem.
You apply the method yourself using a clear example and can ask questions at any time.
We compare results, identify errors and develop understandable quality criteria.
You leave with a template, decision aid or a concrete next step for your work.
Two learning samples from this seminar
Technical terms become clear step by step
Open an example to see how we connect terminology with meaning, application and review.
PromptFrom a vague request to a usable task description
A before-and-after example shows how context, task, goal, quality criteria and output format turn a vague request into a verifiable instruction for AI.
Context windowWhich information the model actually considers
The context window is the model’s working area for the current task. You learn what belongs there and how long or unstructured input can displace important information.
For seminars with practical transfer
Example transfer result
A reviewed prompt and validation template covering context, task, goal, output format and quality criteria for a recurring task.
The actual result is adapted to the participants’ task, role and permitted data during the seminar.What you will gain
Steer format, tone, depth and evaluation criteria.
Improve weak answers systematically.
Build a personal prompt library.
What this live online seminar covers
The seminar covers established prompting foundations and goes further: participants build reusable patterns, test variants, identify common failure modes and create small quality loops. CTPM+ connects prompts to real roles, documents and workflows rather than isolated text inputs.Participants
Business users, managers, analysts, project managers, consultants, developers and regular users of ChatGPT, Microsoft Copilot or similar tools.
Included
Live demonstrations, exercises, prompt patterns, quality checks and reusable templates.
Prerequisites
Initial experience with a generative AI tool is helpful but not required.
Not included
No tool licence, ongoing prompt maintenance or individual automation.