Experience Overview: This experience enables students to apply machine learning algorithms and data visualization techniques to solve real-world business problems. Through hands-on projects, students will develop predictive models, analyze data trends, and communicate insights effectively using visualization tools. Businesses will gain valuable, data-driven insights tailored to their operational needs. Learner Capabilities: Students will be able to: Develop and apply machine learning models for predictive analytics. Use supervised and unsupervised learning to identify patterns and insights. Optimize models by balancing accuracy, efficiency, and computational cost. Leverage AI to support decision-making through data-driven recommendations. Design compelling data visualizations for storytelling and business intelligence. Utilize industry-standard tools (e.g., Python, Power BI, Tableau, Matplotlib, Plotly). Present findings effectively through reports, dashboards, and oral presentations.

We have a diverse student population from different backgrounds with varied interests. Integrate learners from Loyalist College’s General Arts and Sciences Service Learning program. We're dedicated to bridging the gap between our students and innovative businesses like yours, fostering real-world collaborations. Our students are not only equipped with a diverse range of skills but also possess a deep passion for solving real-world challenges.

Third-year students enrolled in Loyalist College's Honours Bachelor of Science in Nursing program are ready to collaborate with employers like you to tackle real-world challenges in community and population health nursing. Through our Clinical Practicum: Community And Population Health Nursing course, students delve into the complexities of health disparities and practice culturally sensitive, collaborative care to achieve equitable health outcomes. By participating in this experience, you'll have the opportunity to engage with dedicated learners who are eager to apply their knowledge and skills to meaningful projects. We aim to foster interdisciplinary partnerships and promote evidence-informed approaches to address pressing health issues. This is a 13-week, 1-term course. Students have Tuesdays and Wednesdays, from September 4th - December 4th (exclusive of October 21-27) to complete the project, with the final project due within the last 2 weeks of the course. Students are to complete 12 hours of work related to the project weekly. Students are assigned a clinical advisor to assist students through the project.

Welcome to "AI for Smarter Cyber-Security," a course offered by the School of Applied Skills and Technology at Loyalist College. This course provides students with hands-on experience in applying artificial intelligence (AI) to develop intelligent security systems capable of automatically detecting and preventing cyber attacks. Our learners are equipped with foundational knowledge in both AI and Cyber Security, and are ready to tackle real-world challenges. Learners in the "AI for Smarter Cyber-Security" course will develop strong foundational knowledge in both AI and cybersecurity, with the ability to apply machine learning algorithms to solve real-world cybersecurity problems. They will gain proficiency in Python for developing AI-based security solutions, evaluate ethical and legal implications, and enhance their problem-solving, research, and communication skills through hands-on experience and practical projects.