This experience is designed for Master’s students specializing in AI and Intelligent Systems, with a focus on the practical applications of chatbot and generative AI technologies. Learners will apply their knowledge of natural language processing, machine learning models, and AI development frameworks to design and implement innovative solutions. Throughout the experience, students will explore how generative AI and conversational systems can be leveraged across industries—ranging from enhancing customer interactions through intelligent chatbots, to streamlining operations with process automation, to producing new forms of creative content. In addition to technical development, students will be encouraged to consider the ethical, social, and business implications of deploying AI-driven systems, including issues of data privacy, bias, and responsible use. The objective of this experience is to bridge theoretical knowledge with hands-on practice, guiding learners to produce functional prototypes that demonstrate both technical feasibility and real-world value. By the end, students will gain deeper expertise in applying cutting-edge AI tools and approaches, while developing solutions that showcase their ability to innovate within this rapidly evolving field.

This experience empowers learners to develop comprehensive policy documents tailored for University ICT departments, focusing on the nuances of remote work environments. Participants will leverage their understanding of security, communication, and productivity to craft policies that meet industry standards and organizational needs. By applying classroom knowledge, learners will be equipped to address the unique challenges and opportunities of remote work, delivering actionable solutions that align with the strategic goals of participating companies.

This experience is designed for undergraduate and master's degree students who are taking courses in Machine Learning and Artificial Intelligence. These learners have acquired foundational ML algorithms, data analysis, and model development. They are equipped to apply their knowledge to real-world projects, offering innovative solutions and insights. Students can bridge the gap between theoretical understanding and industry application by engaging in practical projects and enhancing their problem-solving and technical skills.

This experience focuses on empowering learners to apply their understanding of nutrition science and community engagement to real-world projects. Participants will leverage their skills in data analysis, communication, and project management to design and implement initiatives that enhance community nutrition support. By collaborating with industry professionals, learners will gain practical insights into developing sustainable nutrition programs that align with organizational goals and community needs.