Live online seminar · Software Architecture & Modernisation
AI in software development – from requirements to operations
In plain language Use AI from requirements to reviewed and documented software
From requirements engineering to deployment, maintenance and documentation.
Learn a repeatable method: clarify task and system context, formulate the AI assignment, review the proposal, test it, detect side effects, approve it and document it.

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 · 3 days
Three technical working days from requirements engineering to deployment, maintenance and documentation.
- Duration
- 3 days
- Level
- Professional
- Location
- Online
Further live dates and individual time slots are available on request.
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: 3 days. The offered format covers 3 days, including breaks, questions and transfer phases.
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.
Suggested seminar agendaBuilt from this delivery’s learning modules
- Requirements engineering & business analysis70 minutes
- End-to-end traceability from requirements to release80 minutes
- Systematic prompting50 minutes
- AI-assisted implementation across technology stacks180 minutes
- Software architecture & modernisation100 minutes
- Databases, interfaces, ETL & enterprise software80 minutes
- Technical error analysis and debugging90 minutes
- Testing, regression and release gates110 minutes
- Deployment, operations and maintenance90 minutes
- Technical documentation and handover70 minutes
- CTPM+: system context, dependencies and side effects60 minutes
- CTPM+: controlled human-in-the-loop workflow60 minutes
- CTPM+: Academy case – from requirement to verified patch50 minutes
- Concrete transfer result50 minutes
The sequence may be adapted to the group, prior knowledge and questions; the stated learning outcomes remain binding.
Compare 36 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.
Capabilities, limits & common failure modes
Content and learning objective+
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.
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.
Review & optimise results
Content and learning objective+
Review AI output for professional accuracy, completeness, contradictions, source grounding and fitness for purpose. Checklists, challenge questions and human approval points help correct weak results deliberately.
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.
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.
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.
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.
Adaptation to audience, knowledge & assignment
Content and learning objective+
Before an in-house session, audience, knowledge level, systems, assignment and desired outcomes are aligned. Examples, depth, exercises and transfer tasks are adapted to the actual organisational context.
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.
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.
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.
Practice evidence / case studyCTPM Academy: from requirement to verified patch
Anonymised extracts show Stefan Müller setting goals, system context, quality criteria and approval as the accountable professional. AI supports analysis, design, code, testing and documentation. A plausible solution becomes usable only after review of the existing system, side-effect analysis, testing and human approval. This case study is documented practice evidence, not a customer reference or an OpenAI endorsement.
Quality gateWhen a result may move forward
A quality gate defines clear review criteria and an approval decision. Only results meeting those criteria proceed.
For seminars with practical transfer
Example transfer result
A reviewed mini release with requirement, context package, code or SQL change, tests, side-effect analysis, release checklist and technical documentation.
The actual result is adapted to the participants’ task, role and permitted data during the seminar.What you will gain
Use AI for code understanding, design and implementation across technologies.
Detect plausible but incomplete solutions or solutions with side effects.
Develop tests, regression checks and quality gates.
Support deployment, error analysis, maintenance and documentation with control.
Define team rules, human approvals and a reusable development workflow.
What this live online seminar covers
This three-day flagship seminar covers controlled AI support across modern IT software development: requirements engineering and business analysis, architecture and data models, implementation, code and error analysis, testing and regression, deployment and release, operations and maintenance, and technical documentation. Exercises use understandable extracts from SQL, Oracle SQL and PL/SQL, MySQL/MariaDB, PHP, JSON, HTML, CSS, JavaScript, SQL*Plus and Bash. The course does not attempt to teach every language in full; it teaches a dependable method that transfers to real technologies and existing systems. CTPM+ prioritises system context, dependencies, data, side effects, quality evidence and human approval over quick isolated output.Participants
Software developers, architects, testers, DevOps and operations roles, technical project leads, requirements engineers, business analysts and engineering leaders with practical IT experience.
Included
Three-day methods workshop, technical exercises, anonymised CTPM Academy case study, review patterns, testing and release checklists, materials, certificate of attendance and personal transfer plan.
Prerequisites
Practical experience in at least one area of software development, databases, architecture, testing, DevOps or requirements engineering. Basic knowledge of one of the technologies used is sufficient.
Not included
Not a complete language course for every technology listed, no unreviewed production code adoption and no client-specific implementation.