Block 1: Advanced Use of AI Tools and Automation This block will provide students with an overview of current AI tools and their practical applications. Students will become familiar with various chatbots and tools based on large language models (LLMs), compare their capabilities, advantages, and limitations, and learn how to select an appropriate tool for a specific purpose. The block will also introduce opportunities for workflow automation, integration of different tools, and the use of AI to streamline repetitive tasks. Block 2: Vibe Coding and the Development of Simple Applications This block will introduce the principles of "vibe coding," i.e., the development of simple applications and digital tools using generative AI without the need for advanced programming skills. Students will gain hands-on experience with the entire process, from formulating an initial idea and defining requirements to creating a functional prototype, testing it, and making further improvements. Emphasis will be placed on the practical use of this approach to solve specific problems and develop tools applicable to students' studies or future professional practice. Block 3: Use of AI in Physiotherapy This block focuses on current and potential applications of AI in physiotherapy. Students will explore examples of AI use in education, clinical practice, patient care, assessment and data analysis, the development of therapeutic and educational materials, and clinical decision support. Attention will also be given to the limitations of individual approaches and to the principles of safe, critical, and responsible use of AI in the context of healthcare. Block 4: AI and Multimedia Content This block will introduce the possibilities of using generative AI for working with multimedia content. Students will become familiar with tools for creating and editing images, videos, audio, presentations, and other forms of digital content. The practical component will focus on creating multimedia outputs that can be used in education, patient education, presentation of professional topics, and other areas of physiotherapy practice. The block will also address fundamental issues related to quality, copyright, and the responsible use of AI-generated content.
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The aim of the course is to expand physiotherapy students' knowledge and practical skills in the use of artificial intelligence (AI). The course focuses on more advanced applications of AI, particularly workflow automation, the use of AI agents, the development of simple applications using "vibe coding" principles, and working with multimedia content. Emphasis is placed on practical applications of AI in physiotherapy and on developing the ability to navigate a broader range of available AI tools, compare their capabilities, and select appropriate tools for specific purposes. The course is intended for students enrolled in the Bachelor's/Master's degree programmes in Physiotherapy/Applied Physiotherapy at the Faculty of Physical Culture, Palacký University Olomouc.
The course is intended for students of Physiotherapy and Applied physiotherapy at the Faculty of Physical Culture, Palacký University Olomouc (FTK UPOL).
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