Curriculum & Assessment Programme
Move from responsible AI use to evidence-based application at work. The KI-Pass combines a shared foundation, a chosen specialist track, supported practical experience and a competence-based final assessment. The outcome records what you can demonstrate, rather than attendance alone.
Working professionals, career changers and teams who want to use AI practically or support its responsible deployment. The specialist track is chosen according to existing knowledge, the intended role and a suitable practical assignment.
A structured entry discussion reviews digital foundations, learning goals, available study time and prerequisites for the chosen track. Teaching and assessment are in German or English as agreed; sufficient command of the selected language is needed for assignments and the professional discussion. No particular university degree is required. The development track requires additional programming and data-handling knowledge, which may be demonstrated through an agreed preparatory plan. The practical route must receive technical approval before the specialist practice phase begins.
Standard model: approximately six months or 26 weeks. It comprises five weeks of shared foundations, three weeks of specialist preparation, 16 weeks of supported specialist practice and a two-week completion phase. The calendar, teaching units, practice hours, supervision, absence arrangements and assessment dates are agreed before booking. The 26 weeks are a newly designed programme model, not a statement about the scope of the separately offered foundation package.
5 weeks
A shared vocabulary, practical AI use and the agreed introduction to AI management.
3 weeks
Specialist learning and approval of a realistic practice and learning plan.
16 weeks
Sustained application with technical supervision and documented milestones.
2 weeks
Portfolio, reflection and competence-based final assessment.
Capabilities and limits of current AI systems, suitable use cases, human responsibility, data and source evaluation, and introductory issues in privacy, information security and organisational approval.
Scope / allocation
Within the five-week shared foundation
Evidence and output
A reasoned use-case choice with documented boundaries and unresolved approval questions.
Define tasks precisely, select context and data, specify output formats, test variants, verify results and develop reusable work instructions.
Scope / allocation
Within the five-week shared foundation
Evidence and output
A prompt and test record with a traceable comparison of variants and analysis of errors.
Text, image and document processing and structured data work using approved material; interpretation, traceability, quality criteria and limits of automated analysis.
Scope / allocation
Within the five-week shared foundation
Evidence and output
A traceable analysis of a dataset or document collection with checked claims and sources.
Orientation to the PECB ISO/IEC 42001 Foundation and Lead Implementer learning routes; requirements, roles, risks, documented processes and improvement of an AI management system. External PECB examination preparation follows the specifically agreed scope.
Scope / allocation
Learning units integrated into the foundation phase under the agreed schedule
Evidence and output
Case-based allocation of responsibilities and management-system tasks; external PECB examinations remain separate.
Specialist preparation, baseline review, concrete learning goals, practical-project boundaries, acceptance criteria and agreement with the technical supervisor.
Scope / allocation
Three weeks of specialist preparation in the standard model
Evidence and output
An approved practical learning plan with three concrete project outputs and four milestones.
Independent application in a workplace or technically approved practice environment; documented work, regular feedback, interim reviews and reflective treatment of errors and changes.
Scope / allocation
16 weeks in the standard model; binding practice hours specified in the individual plan
Evidence and output
Weekly journal, four milestone reviews and the three track-specific project outputs.
Prepare practical results, reflect on limitations and alternatives, complete a new practical task and defend decisions in a professional discussion.
Scope / allocation
Two-week completion phase in the standard model
Evidence and output
Assessed practice portfolio, written knowledge component, practical task and presentation with discussion.
For aspiring AI application developers and professionals who want to build credible AI prototypes and integrations. Basic programming and data-handling knowledge is checked before this track begins; a preparatory learning plan can be agreed.
A reproducibly tested AI assistant for a bounded use case, such as finding and summarising approved knowledge documents. The prototype must show sources, handle uncertainty and respect defined limits. Production deployment is part of the assignment only where separately and expressly authorised.
For project leaders and subject owners who want to lead AI initiatives from initial scoping to an informed decision on piloting and adoption.
Plan and support a bounded AI pilot, for example an internal knowledge assistant or assisted document processing. Assessment concerns the quality of the project decision, including a defensible recommendation not to proceed.
For process owners, organisational development specialists and professionals who want to integrate AI into existing workflows and establish traceable operating arrangements.
Redesign a bounded process using AI support, such as structured preliminary handling of incoming enquiries. The solution must address human approvals, exceptions and a route back to the previous process.
For governance, compliance, data protection and management-system professionals who want to document, evaluate and support AI use systematically. The track does not replace legal education or a legally required appointment to a role.
Develop a governance package for a specifically bounded AI use case, such as an internal assistant. It should establish traceable roles, risk treatment, approval criteria and verifiable evidence. A blanket assurance of legal compliance is not a project outcome.
Specialist practice may take place in a suitable organisation, the participant’s own professional setting or a project environment technically approved by the Academy. A workplace placement requires actual work in an organisation with suitable supervision. A simulation or Academy project environment is expressly recorded as such and is not certified as a workplace placement.
A workplace placement is not automatically guaranteed. The location, supervising role and practical arrangements are agreed in writing before practice begins. If no placement is available, only a technically suitable alternative expressly agreed with the participant is used.
The practice agreement identifies the intended role and track, concrete learning objectives, tasks, agreed practice hours, supervision, permitted tools and data, confidentiality, approval boundaries, four milestones and required evidence.
A technically competent supervisor supports the practical work. Their suitability and responsibilities must be documented. The Academy supports milestone reviews and checks alignment with the learning goal. Supervising practice does not automatically authorise the supervisor to make the certification decision.
A weekly learning and work journal records tasks, time spent, methods, results, feedback and the next learning step. It excludes unnecessary personal or confidential information. The supervisor confirms traceable completion; attendance alone does not demonstrate competence.
By the end of practice week four
Bounded assignment, baseline findings, learning objectives, data and approval status, and a traceable work plan.
By the end of practice week eight
Initial prototype, process design or governance output; recorded tests or reviews and justified adjustments.
By the end of practice week twelve
Assessment against agreed criteria, stakeholder feedback, recognised limitations and documented improvements.
By the end of practice week sixteen
Three completed track-specific outputs, a handover or continuation plan and personal reflection.
Evidence must identify the participant’s own contribution and disclose data sources, contributions by others and AI assistance. Confidential data is anonymised or replaced by suitable authorised evidence. For group work, individual responsibilities and assessment contributions are established in advance.
Weighting: 20%
Case-based short answers and reasoned decisions about AI use, output verification, data, roles and limitations.
45 minutes, supervised
Weighting: 25%
A new bounded task suited to the selected track, with documented results and material working steps. The task bank uses equivalent variants and assessment criteria defined in advance.
60 minutes, supervised
Weighting: 35%
Three track-specific outputs, four milestone records, the weekly journal and an overall reflection report. Business benefits must be supported by evidence or expressly identified as assumptions or scenarios.
Submitted in the agreed completion phase; the binding deadline is set before practice begins.
Weighting: 20%
Eight minutes presenting the key results, followed by twelve minutes of technical questions including a changed scenario.
20 minutes
A pass requires at least 70% overall after weighting and at least 60% in every mandatory assessment component. Rubric-based work uses a 0–4 scale: 0 = missing or technically unusable; 1 = major errors without a defensible rationale; 2 = substantially sound, with limited gaps; 3 = technically sound, traceable and applied appropriately; 4 = also critically evaluated, with justified alternatives and limitations. Every criterion expressly designated critical must score at least 2 out of 4. These pass thresholds are Academy programme rules; ISO/IEC 17024 does not prescribe them.
Written knowledge component: only expressly approved references; no generative AI or third-party communication. Practical task: AI and specialist tools specified in advance may be used where this fits the assessment objective; use and material inputs are recorded, and results must be checked independently. Portfolio: documented AI support and professional sources are allowed; personal contribution and responsibility must remain identifiable. Discussion: the candidate’s report and agreed presentation, with no undisclosed assistance.
Identity is checked before each supervised assessment component. Submitted work includes a declaration of authorship, a record of sources and tools, and identification of contributions by others. The professional discussion checks the candidate’s personal understanding of the submission. Personal and business data must be anonymised or submitted only with documented authorisation.
The common assessment rules also cover retakes, reasonable adjustments, appeals, confidentiality and certificate authorisation.
Assessment and Certificate RulesKI-Pass – Assessed Academy Certificate with Specialist Track
This programme applies to deliveries whose agreed course and assessment plan explicitly references this revision. Existing bookings retain their agreed terms.
The foundation phase incorporates the PECB ISO/IEC 42001 Foundation and Lead Implementer learning routes with the teaching and preparation scope agreed before booking. Teaching, exam preparation, external examination and certification are different services. Whether PECB examination fees are included in the specific package is stated in the relevant offer. Passing the Academy KI-Pass does not replace a PECB examination; attending preparation does not automatically confer PECB certification.
View the current AI foundation packageThe six-month standard model is offered individually with a chosen track, practice route, hours and complete price. The price and scope on the linked foundation-package page do not automatically apply to the complete qualification. Clarify the practice location, supervision, external examinations and any funding before booking.
No. This standard model additionally includes specialist preparation, 16 weeks of supported practice and a completion phase. The existing foundation package is offered separately; inclusion or recognition of prior completion is expressly agreed before booking.
Application Development concerns technical prototypes and integrations; Project Leadership concerns planning and delivery; Management and Process Design concerns workflows; Governance and Compliance concerns responsibilities, risks, approvals and evidence. The entry discussion considers your goal, existing knowledge and a suitable practical assignment.
No. A workplace placement is not automatically included. Suitable routes include an organisation, your own professional setting or an expressly agreed project environment approved for the learning objectives. The completion record identifies the practice actually undertaken.
Specialist practice is independent application with technical supervision, a weekly journal and four documented reviews. It is not an asynchronous teaching unit. Teaching and agreed learning sessions are live; practice and teaching hours are reported separately.
Yes, if the assignment, supervision, learning goals, data permissions and evidence are suitable and agreed before practice starts. Routine duties alone or attendance claimed retrospectively without verifiable work are not sufficient.
No. External examinations and certification requirements remain separate. Your offer states whether the examinations form part of the booked package. Academy completion and any PECB credentials obtained are recorded separately.
No. It is an Academy-owned competence record with documented assessment and a specialist track. It does not assert IHK recognition, state equivalence or accreditation.
A documented equivalence review is possible. Relevant factors are content, hours, currency and demonstrable competence. Recognition, remaining learning and assessment requirements are agreed in writing before booking; there is no automatic reduction.
Solo self-employed in Germany? Discuss potential KOMPASS support with an official advisory centre before booking. We can help you select a suitable programme in a consultation.
An Academy-owned assessed competence credential. The assessment programme refers to selected principles of ISO/IEC 17024:2026. This is not a claim of accreditation or fully demonstrated conformity.