Study plan
Prerequisites
A bachelor's degree in computer science, mathematics, or a related field is required. Candidates are expected to have a working knowledge of linear algebra, calculus and optimization, probability and statistics.
Candidates should be proficient in at least one programming language commonly used in AI, such as Python. Experience with AI-related libraries and frameworks (likePyTorch) is also beneficial.
Deep Learning - doc. Ing. Karel Zimmermann, Ph.D.
ML Engineering - Ing. Tomáš Báča, Ph.D.
AI for Cybersecurity - doc. Ing. Tomáš Pevný, Ph.D.
AI and Society - doc. PhDr. Vít Střítecký, M. Phil., Ph.D.
Bridging the Gap
2. semestr
ML Fundamentals - Ing. Vojtěch Franc, Ph.D.
ML Methods - prof. Ing. Filip Železný, Ph.D.
Computer Vision Methods - prof. Ing. Jiří Matas, Ph.D.
NLP and Translation - doc. RNDr. Ondřej Bojar, Ph.D.
Selected Topics in AI - doc. Ing. Tomáš Kroupa, Ph.D.
3. semestr
Diploma Thesis
