Live online seminar · AI & Knowledge Engineering
Understand and use generative AI safely
In plain language Understand AI, try it out and assess results safely
A robust introduction for organisations and business teams.
We explain the key concepts with familiar examples. You try AI, compare results and learn to distinguish useful answers from risky ones.

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 personal facilitation, exercises and direct exchange.
- Duration
- 0.5 day
- Level
- Foundation
- Location
- Online
CTPM+ is included in the seminar price.
Ask about availabilityTen participants each receive a personal seminar place; the team discount is 20 percent.
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.
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.
Suggested seminar agendaBuilt from this delivery’s learning modules
- Current models, tools & applications35 minutes
- Capabilities, limits & common failure modes30 minutes
- Systematic prompting40 minutes
- Review & optimise results30 minutes
- Confidential information & organisational data25 minutes
- Practical examples & exercises30 minutes
- Concrete transfer result20 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 42 additional modulesThese topics are intentionally not included in this seminar and are shown only for comparison.
Improve & reuse prompts
Content and learning objective+
Improve prompts in controlled steps, compare variants and distinguish professional weaknesses from wording or context problems. Proven patterns are versioned, documented and made reusable for similar tasks.
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.
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.
Reusable prompt, analysis & workflow templates
Content and learning objective+
Develop prompt structures, analysis templates and workflow patterns that can be reused with clear inputs, checks and ownership. Versioning and adaptation prevent templates from becoming uncontrolled one-off solutions.
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.
End-to-end traceability from requirements to release
Content and learning objective+
Source, requirement, design, change, test, approval and release are linked so decisions and effects remain explainable.
AI-assisted implementation across technology stacks
Content and learning objective+
The method is practised with SQL, PL/SQL, MySQL/MariaDB, PHP, JSON, HTML, CSS, JavaScript, SQL*Plus and Bash without turning the seminar into ten isolated language courses.
Testing, regression and release gates
Content and learning objective+
Normal cases, edge cases, side effects and unacceptable outcomes are translated into verifiable tests, regression checks and approval criteria.
Deployment, operations and maintenance
Content and learning objective+
Release preparation, configuration, scripts, handover, monitoring, fallback and maintenance effects are treated as one operational process.
Technical error analysis and debugging
Content and learning objective+
Observations, logs, reproduction steps, hypotheses and counterchecks are separated so plausible AI explanations are not mistaken for verified findings.
Technical documentation and handover
Content and learning objective+
Decisions, assumptions, interfaces, operating notes, open risks and validation evidence are documented clearly and maintainably.
CTPM+: system context, dependencies and side effects
Content and learning objective+
Affected components, data, interfaces, existing logic and possible side effects are identified and included in validation before change.
CTPM+: controlled human-in-the-loop workflow
Content and learning objective+
AI provides working drafts. People define goals and boundaries, review evidence and tests, decide on correction and approve further use.
CTPM+: Academy case – from requirement to verified patch
Content and learning objective+
An anonymised case shows how requirements, database, PHP, web technology, testing, installation and documentation are iteratively supported by AI and professionally approved.
CTPM+: Oracle code, error analysis, reporting and documentation
Content and learning objective+
Oracle SQL and PL/SQL context, data models, transactions, packages, failure modes, test data, reporting and documentation are treated together rather than in isolation.
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.
HallucinationWhy a convincing answer can still be wrong
Language models produce likely wording and do not automatically verify facts. You learn warning signs, source checks and useful control questions.
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.
What you will gain
Give AI systems clearer instructions.
Recognise quality, privacy and security risks.
Plan a realistic next step.
What this live online seminar covers
This seminar creates a reliable shared foundation. You learn essential terminology, model principles and typical use cases, work with current AI tools and assess output using transparent criteria. Exercises transfer learning to realistic workplace tasks. CTPM+ adds a systems perspective, role-based application and concrete organisational transfer.Participants
Business professionals, managers, project teams, IT staff and decision-makers without prior AI knowledge.
Included
Live facilitation, exercises, course materials, checklists, reflection and a CTPM+ transfer impulse.
Prerequisites
No AI or programming knowledge required.
Not included
No legal advice, production integration or client-specific process analysis.