Recommended study pathway prg.ai Master - Passage through study

Study plan: prg.ai Master

1st semester

Code	Course name tutor	Completion	Credits	Range	Semester	Role
BECM36AIC	AI for Cybersecurity Sebastián García, Tomáš Pevný^Ⓖ	Z,ZK	6	2P+2C	Z	compulsory course in the program
BECM33DPL	Deep Learning Essentials Karel Zimmermann^Ⓖ	Z,ZK	6	2P+2C	Z	compulsory course in the program
BECM33MLE	Machine Learning Engineering Tomáš Báča, Jan Faigl^Ⓖ	KZ	6	2P+2C	Z	compulsory course in the program
2025_MPRGAIVOL	Elective subjects		6			elective course

2nd semester

Code	Course name tutor	Completion	Credits	Range	Semester	Role
BE4M33MPV	Computer Vision Methods	Z,ZK	6	2P+2C	L	compulsory course in the program
BECM33MLF	Machine Learning Fundamentals Vojtěch Franc^Ⓖ	Z,ZK	6	2P+2C	L	compulsory course in the program
BECM36MLM	Machine Learning Methods Ondřej Kuželka, Gustav Šír, Filip Železný^Ⓖ	Z,ZK	6	2P+2C	L	compulsory course in the program
BECM36NLPT	Natural Language Processing and Translation Ondřej Bojar^Ⓖ	Z,ZK	6	2P+2C	L	compulsory course in the program
BECM36STAI	Selected Topics in AI Tomáš Kroupa^Ⓖ, Jakub Mareček, Torsten Sattler, Tomáš Svoboda, Karel Zimmermann	KZ	6	2P+2C	L	compulsory course in the program

3rd semester

Code	Course name tutor	Completion	Credits	Range	Semester	Role
BDIP30	Diploma Thesis	Z	30	22s	L	compulsory course in the program

Data valid to 2025-04-13

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