Graduate Certificate in AI for Managers

Opis i cele kształcenia

A focused credential for managers who must make decisions about AI without becoming engineers — capability and limits, use-case selection, procurement, risk, and change. Stackable toward the MSc Applied AI for Public Services. IU International University of Applied Sciences teaches this award to one academic standard whether you study on campus in Warsaw or on the tuition-free online pathway. Assessment is identity-checked; the marking scheme does not change with your postcode. This is an academic graduate certificate award; where a field has a licensing or registration route, that remains a matter for your professional body or regulator. You will work through the material as a practitioner-researcher: applied methods, real or anonymised cases, and a supervised capstone or dissertation as the final component. Faculty mark whether you noticed the constraints a slide deck usually hides. Graduate Certificate in AI for Managers is taught as one award, not a list of unrelated modules. The published length is 9 months, and the credit total is 15. Students move from Mathematics & Probability for AI through Mathematics & Probability for AI; Machine Learning Theory & Practice; Deep Learning & Representation Learning; MLOps, Evaluation & Production AI; Research Methods for Applied AI, and finish on Research Methods for Applied AI. Each course has a question, a method, and a submission. In this field, students define a measurable question, fit a method that can be checked, and report where it fails. Reading is a dataset description, a methods note, and one published evaluation. The artefact a marker expects is a project note with the question, the method, the result, and the limitation. The award is built so that a graduate can do the following in practice: Build and evaluate machine-learning models against a real objective Judge where AI is and is not an appropriate solution, and say why Take a model from notebook to a monitored production service Teaching assumes the student can read a source, attempt a problem before the seminar, and revise after feedback. Attendance at live seminars is part of the design. The capstone or final course must use the methods of the earlier courses; a project that ignores them does not pass. The pages for each course name the topics that are examined. Those topics are the syllabus. A brochure line is not a substitute for them.

Dyplom ukończenia studiów wydaje IU Międzynarodowy Uniwersytet Nauk Stosowanych z siedzibą w Warszawie. Kształcenie odbywa się w oparciu o polskie i europejskie standardy akademickie.

Struktura modułów i program nauczania

Program obejmuje 15 punktów ECTS zorganizowanych w moduły semestralne:

Forma kształcenia i zaliczenia

Perspektywy zawodowe absolwentów

• Machine-learning engineer
• AI product manager
• Applied research scientist
• Data science lead
• AI governance and assurance roles

Kampus w Warszawie i zaplecze akademickie

Siedziba uczelni mieści się przy ul. Prostej 20 w Warszawie — w samym sercu stolicy Polski. Studenci stacjonarni korzystają z nowoczesnej infrastruktury dydaktycznej, a studenci online z pełnego wsparcia cyfrowego.

Główny gmach akademicki przy ul. Prostej 20 w Warszawie.

Dziedziniec uniwersytecki i przestrzenie seminaryjne.

Infrastruktura dydaktyczna i laboratoria wydziałowe.