Machine Learning with R Workshop is a comprehensive resource packed with insights into statistics and machine learning, along with a deep dive into R libraries. The learning experience is further enhanced by practical examples and hands-on exercises that provide explanations of key concepts. Starting with the fundamentals, you’ll explore the complete model development process, covering everything from data pre-processing to model development. This workshop will advance your ML career with the help of detailed explanations, intuitive illustrations, and code examples. You will gain practical insights into the real-world applications of statistics and machine learning, you will be well equipped to leverage the full potential of R in your future projects.

Rosalind combines her experience as a physician and a researcher to improve health systems through innovation with an emphasis on HIV and sexually transmitted infections in Uganda. She is the Founding Director of the Academy for Health Innovation, Uganda based at the Infectious Diseases Institute, Makerere University and is a Clinical Principal Research Associate at University of Cambridge, UK. She is a Principal Investigator (PI) on various studies investigating the impact of digital technologies. She is co-PI for the Hub for Sexual and Reproductive Health in Africa (HASH), and has sat on advisory teams for Gates Foundation and WHO on AI in health. She and her team developed the ARTAccess App tool which allows HIV drug delivery in private pharmacies for over 40,000 people living with HIV countrywide. Their Call for Life tool has supported the Ugandan Ministry of Health COVID-19 response and continues to provide automated phone call support to people living with HIV and TB. She leads a Medical Drones project funded by the UK Medical Research Council, and Johnson & Johnson which is evaluating the delivery of HIV medication to remote areas. Rosalind is a strong advocate for multi-disciplinary work, e.g. History of HIV project that brought together artists, social scientists and bio-medical teams to create an exhibition at the Uganda Museum and is now a film.  She is a module leader for The Masters in Population Health Sciences - Global Health theme at Cambridge and is a PhD and Masters supervisor at Makerere and Cambridge. 

The goal of the workshop is for different stakeholders without an Artificial Intelligence (AI) background to gain an enhanced understanding of their own and each other’s position within the AI ecosystem in Africa and what opportunities exist for synergy and collaboration. This will be focused on Responsible AI, which is defined as AI underpinned by fairness and inclusivity, using transparent and accountable methods. The workshop represents a model technique for Responsible AI characterized by a multidisciplinary collaborative approach.

Embark on an exhilarating journey through the world of UX/UI Design, where innovation meets functionality. Our comprehensive course will equip you with the skills to craft intuitive user experiences and stunning visual designs. From the fundamentals of user research to the nuances of prototyping and wireframing in Figma, you'll learn to translate user needs into seamless digital solutions. Dive into visual identity creation, mastering typography, colors, and imagery to make your designs pop. Whether you're building for web or mobile, this course promises to transform your ideas into impactful, user-centric interfaces that captivate and engage. Prepare to unleash your creative potential!

The workshop will provide attendees with comprehensive guidance on leveraging generative AI for government and business leaders. The workshop will provide attendees with comprehensive overview on the concept of Generative AI and its application in Government and Business. Through a blend of theoretical frameworks and practical applications, participants will gain insights into harnessing generative AI effectively. The workshop will cover essential principles, showcases relevant case studies, and offers actionable strategies for implementation. By the workshop''s conclusion, attendees will possess the executive knowledge needed to navigate the integration of generative AI confidently, from conceptualization to execution, within their respective organizations.