The Handbook to Cybersecurity Challenges in AI: Discover how cybersecurity safeguards a world powered by Artificial Intelligence. This course takes learners beyond theory into the real-world challenges of securing intelligent systems. Through interactive labs, guided projects, and case studies, participants will explore how cyber threats exploit AI vulnerabilities from data poisoning and adversarial attacks to model theft and deepfake manipulation. Students will learn to analyze AI risks, design effective defense strategies, and apply ethical frameworks to ensure responsible innovation. The course blends hands-on experimentation with current industry practices, empowering learners to critically assess the security of AI models and propose realistic protection mechanisms. By the end of the program, participants will have the technical insight, analytical thinking, and ethical awareness required to contribute to the next generation of secure, trustworthy AI systems.
This course is taught at the iCode Columbia facility. The Summer Enrichment Academy at UMBC and iCode Columbia have partnered in the development and delivery of courses and programs to serve pre college students in the fields of computer science, robotics, programming and AI. iCode is a workforce development pipeline partner for SEA at UMBC graduate students. All UMBC courses taught at iCode Columbia are UMBC CIRTL trained graduate students.
