Live online seminar · AI & Knowledge Engineering
Enterprise AI: organisational knowledge, RAG and data integration
In plain language Create reliable AI answers from your own documents and data
Make organisational knowledge discoverable, useful and controlled.
RAG means that AI first searches approved enterprise sources and then formulates an answer grounded in the available knowledge.

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 · 2 days
Two days covering RAG, knowledge, data sources, architecture and pilot planning.
- Duration
- 2 days
- Level
- Professional
- 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
- Professional
- 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
- Professional
- 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: 2 days. The offered format covers 2 days, 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 & applications70 minutes
- Capabilities, limits & common failure modes70 minutes
- Review & optimise results80 minutes
- Confidential information & organisational data80 minutes
- Use documents & knowledge systematically150 minutes
- Databases, interfaces, ETL & enterprise software140 minutes
- Quality & control points120 minutes
- Adaptation to audience, knowledge & assignment
- Data modelling, SQL & databases130 minutes
The sequence may be adapted to the group, prior knowledge and questions; the stated learning outcomes remain binding.
Compare 31 additional modulesThese topics are intentionally not included in this seminar and are shown only for comparison.
Systematic prompting
Content and learning objective+
Translate unclear work requests into structured prompts containing context, task, inputs, objective, quality criteria and output format. This makes requirements transparent, results easier to compare and follow-up questions more focused.
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.
Practical examples & exercises
Content and learning objective+
Apply the methods to transparent tasks, compare alternative approaches and reflect on the impact of your decisions. Exercises combine explanation, hands-on work, feedback and a transferable improvement.
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.
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.
Concrete transfer result
Content and learning objective+
Create a tangible result for your own work, such as a prompt template, analysis, checklist, process sketch or pilot description. Next steps, ownership and success criteria make the transfer actionable.
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.
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.
RAGHow AI accesses approved enterprise knowledge
Retrieval-augmented generation first searches selected documents or data sources and then lets the language model formulate an answer grounded in those sources.
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 practical, reviewed result for applying the seminar content to your own work: Mit KI verlässliche Antworten aus eigenen Dokumenten und Daten gewinnen.
The actual result is adapted to the participants’ task, role and permitted data during the seminar.What you will gain
Assess data and document sources.
Design a target architecture.
Define quality, security and pilot criteria.
What this live online seminar covers
The seminar moves from knowledge needs through documents, metadata and retrieval to model answers, source grounding and operations. CTPM+ connects knowledge engineering with data modelling, databases, interfaces, ETL, permissions and enterprise architecture.Participants
IT leaders, architects, data engineers, knowledge managers, business owners and enterprise AI project managers.
Included
Two-day seminar, architecture models, data and quality checks, RAG canvas and pilot planning.
Prerequisites
AI fundamentals plus a basic understanding of data, systems or document management.
Not included
No guaranteed product selection, production RAG build or binding security assessment.