Professional programs lead to non-degree professional certificates. Each certificate track bundles related subjects into an applied credential and requires assessed practical work rather than attendance. Certificates confer no academic credit, SKS, ECTS, degree, or government accreditation.
Seven tracks are offered. They are distinguished by professional context rather than seniority, and each is built from subjects listed in the course catalog.
Professional Certificate in Artificial Intelligence
The general applied credential. Covers foundations, how these systems work in outline, structured prompting, verification practice, workflow design, and responsible use.
This is the appropriate track for professionals who use AI across varied tasks rather than in one specialized function. The assessed project asks the learner to take a real recurring task from their own work, redesign it with AI support, document what the tool contributed and what was verified, and evaluate honestly whether the result was an improvement.
Professional Certificate in AI Research
For researchers, doctoral candidates, and research staff.
Covers AI-assisted literature search and review, source verification, evidence organization, academic writing support, and disclosure of AI contribution in research output. Verification of AI-suggested sources is treated as a mandatory methodological step, because fabricated citations are correctly formatted, plausibly titled, and nonexistent.
The assessed project requires a documented AI-assisted research task with a full verification record: what was suggested, what was checked, what proved false, and what was ultimately used. Related institutional output is handled by the Research Center and KBA13 Publishing.
Professional Certificate in AI for Universities
For lecturers, curriculum designers, and academic administrators.
Covers teaching preparation, material development, feedback support, and the institutional questions that matter more: assessment integrity in a cohort with generative tools, legitimate student use, assessment redesign, and what an institutional policy should contain.
The assessed project is an assessment redesign or a draft institutional policy, evaluated on whether it is actually enforceable and whether it preserves the measurement of individual capability. Positions that rely on prohibition or on unrestricted permission are marked down, because neither survives contact with practice.
Professional Certificate in Prompt Engineering
For professionals who need reliable, repeatable output from AI systems.
Covers structured prompting, task decomposition, context provision, output constraints, iteration discipline, and evaluation of results. It treats prompting as a practical craft with real technique and real limits.
The limits are taught as firmly as the technique. Prompting improves relevance, structure, and consistency. It does not make a system factually reliable, and no prompt eliminates fabrication. A track that promised otherwise would be selling something the technology cannot deliver. Practical tooling is described under AI tools.
Professional Certificate in Responsible AI
For professionals accountable for how AI is used in their function or organization.
Covers accountability, disclosure, fairness, data handling, human oversight, harm assessment, and the practical construction of use policies. It is applied rather than philosophical: the output is a workable policy for a real context, not a statement of values.
The assessed project requires the learner to assess an actual AI use case in their organization and produce recommendations that could be implemented, including cases where the recommendation is not to proceed.
Professional Certificate in AI Governance
For those designing institutional governance structures for AI.
Covers governance frameworks, approval processes, documentation and audit requirements, procurement considerations, risk classification, and evaluation. Where the responsible AI track addresses conduct, this track addresses structure: who decides, who approves, what is recorded, and how compliance is verified.
The assessed project is a governance framework for a defined institutional context, marked on whether it would function under real conditions rather than on completeness of documentation.
Professional Certificate in AI for Public Policy
For civil servants and public-sector professionals.
Covers AI-assisted policy analysis, drafting, document review, and consultation processing within public-sector obligations: accountability for decisions affecting citizens, transparency, records requirements, procurement discipline, and data protection.
Substantial weight falls on identifying what must not be automated. Discretionary decisions affecting individual rights, entitlements, or legal status require reasoning that can be explained and challenged. The assessed project must state those boundaries explicitly for the learner’s own policy area.
Requirements
Every certificate requires the same conditions to be met before issue. Required subjects completed. Required lessons completed. Assessments passed. A final applied project passed. An academic-integrity agreement accepted. A responsible-use acknowledgement accepted. No unresolved integrity issue.
The applied project carries the credential. It is marked on verification and judgment rather than on the polish of the AI-assisted output, because polished unverified output is precisely the failure the School exists to prevent. A project that documents rejecting AI output for good reasons scores well.
What appears on a certificate
Each certificate records the participant name, the program title, the pathway code, the completion date, learning hours, a unique certificate number, a verification URL, and an explicit non-degree professional-learning statement.
The verification URL exists so that a third party can confirm the credential independently rather than taking a document at face value. Certificates are not issued before verification logic is implemented and tested, since an unresolvable verification link invites reliance the infrastructure cannot support.
Choosing a track
Start from your work. Researchers take AI Research. University staff take AI for Universities. Public servants take AI for Public Policy. Those accountable for organizational use take Responsible AI or AI Governance depending on whether the question is conduct or structure. Those wanting reliable day-to-day output take Prompt Engineering. Those whose use is broad take the general Artificial Intelligence certificate.
Learners without prior grounding should complete foundations first through the academic programs. Senior leaders needing framing rather than technique should look at executive programs. Institutional cohorts are arranged through the proposal request process, with implementation support from KBA13 Consulting. Pricing and recognition questions are answered on the FAQ page.