Skip Navigation or Skip to Content

Course Catalog

THE HANDBOOK TO CYBERSECURITY CHALLENGES IN AI   

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.

LUNCH: Students staying for full day or for both morning and afternoon sessions can bring or buy their lunch.  All students will eat lunch on Campus in The Commons, a small food court.  

Digital Credentials are linked directly to a students emails and cannot be assigned to a parents email.  For your student to receive their digital credential please add your student’s email at registration.

  • THE HANDBOOK TO CYBERSECURITY CHALLENGES IN AI -  High School
  • Fee: $374.00
    Dates: 7/27/2026 - 7/31/2026
    Times: 1:00 PM - 4:00 PM
    Days: Daily
    Building: UMBC Campus (SEA)
    Instructor: Mihir Ajmera

    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. 

    Learn more.

 

Some Title



Your Cart

×