This experience offers learners a practical understanding of chemical safety and substitution analysis, focusing on the concept of "regrettable substitutions" in chemical design. Learners, who are second-year science majors, will apply their knowledge of functional groups, polarity, metabolism, and spectroscopy to evaluate chemical safety profiles using real-world case studies. By extracting caffeine from tea and analyzing the results, learners will develop skills in laboratory techniques, AI-assisted data interpretation, and science communication. These capabilities can be directly applied to industry projects that require critical analysis of chemical safety and effective communication of findings to stakeholders. This experience is a part of the CCA AI Readiness Consortium. Through employer-educator partnership this experience will bring AI competencies into curricula. Students will apply AI tools and skills to complete project deliverables and drive value for your organization.

This experience is designed for students enrolled in the CAP 200: Bronx Beautiful course at Hostos Community College. The course equips learners with domain-specific knowledge and AI literacy skills, enabling them to produce high-quality reports on complex social issues. Students will apply their understanding of community engagement, environmental justice, and historical analysis to collaborate with an organization focused on advancing social equity. Through this project, students will gain practical experience in researching and presenting historical narratives with clarity and cultural sensitivity.

This experience is part of the CAP 200: Bronx Beautiful course at Hostos Community College, designed to empower students with skills in community engagement, environmental justice, and AI literacy. Learners will apply their knowledge to create animated educational videos that address real-world issues relevant to the Bronx community. By collaborating in small teams, students will develop storytelling and technical skills to produce impactful, concise educational content. This experience is a part of the CCA AI Readiness Consortium. Through employer-educator partnership this experience will bring AI competencies into curricula. Students will apply AI tools and skills to complete project deliverables and drive value for your organization.

Students in this beginner-level Computer Security course have technical and professional skills, having previously completed: Group projects focused on security analysis or tool development Experience in presentations, communication, and collaboration Professional preparation for careers in cybersecurity They are capable of: Exploring and applying AI tools to cybersecurity datasets or problems Investigating LLMs (Large Language Models) for phishing, detection, or automation Testing small tools/scripts in security contexts Conducting threat analysis and summarizing results in technical reports Collaborating in teams, presenting findings, and documenting outcomes in user-friendly formats This experience is a part of the CCA AI Readiness Consortium. Through employer-educator partnership this experience will bring AI competencies into curricula. Students will apply AI tools and skills to complete project deliverables and drive value for your organization.