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The course is aimed at students who want to gain an understanding of IT technologies. Students will acquire multiple badges and certificates that allow them to communicate their knowledge and skills. The course focuses on the roles of project managers, business analysts, and practically anyone interested in working in companies utilizing IT. The course utilizes online modules and platforms from various providers. Advanced students will have the opportunity to tailor their studies by delving into more advanced topics. The majority of the instruction takes place through guided self-study. Limited in-person meetings will be conducted during the semester to share progress. The course instruction is in English (as the tools are in English), and improving professional language skills will be an additional benefit of the course. Tools from areas such as Low code/no code, data manipulation, methods of work automation, fundamentals of artificial intelligence/machine learning, project management tools, prototyping, remote collaboration tools, and more will be covered during the course. Students can take the course repeatedly, in such a case will get deeper into advanced topics. Last update: Scholleová Hana (09.09.2026)
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Completion of multiple online courses (with certificates and badges) corresponding to min. 50 % of possible points. Last update: Scholleová Hana (09.09.2026)
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Obligatory:
Last update: Scholleová Hana (13.09.2026)
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The main teaching methods include:
Guided self-study – working with online courses, tutorials, documentation, and other digital learning resources. Hands-on learning – acquiring practical skills through direct work with IT tools and platforms. Learning by doing – applying theoretical concepts to practical tasks, exercises, and real-world scenarios. Project-based learning – completing individual or team-based projects that integrate knowledge and skills from different course modules. Consultations and guided discussions – limited in-person meetings focused on discussing progress, addressing difficulties, sharing experience, and reflecting on the practical use of IT technologies. Peer learning – sharing experiences, solutions, and examples of good practice with other students. Presentations and demonstrations – presenting completed work. Last update: Scholleová Hana (13.09.2026)
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Guided self-study and in-person meetings as announced. 1. Introduction 2. IT Orientation 3. Low Code/No Code 4. Databases and SQL 5. AI/ML 6. Tools for Project Managers 7. Deepening of Knowledge in Elective Modules Last update: Scholleová Hana (09.09.2026)
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By the end of the course, students will be able to: Construct and interpret SQL queries to retrieve, filter, and summarize data from a relational database. Evaluate cybersecurity risks and apply fundamental security practices to protect personal and organizational data and systems. Explain the core concepts, capabilities, and limitations of artificial intelligence and generative AI, and apply this understanding to project management contexts. Design and build a working no-code/low-code application or automated workflow to solve a defined business problem. Justify the selection of a business intelligence tool appropriate to a given business scenario. Communicate technical knowledge effectively to a non-specialist audience through a self-organized learning session. Synthesize knowledge gained from peers' learning sessions and integrate it into their own professional skill set. Apply generative AI tools to a hands-on project, critically assessing their outputs for accuracy, bias, and appropriate use. Evaluate the ethical implications of using AI and automation tools in academic and professional work, and apply principles of responsible, attributed technology use. Last update: Scholleová Hana (13.09.2026)
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