Master the essentials of prompt injection attacks in AI systems - learn identification, risk assessment, and defense strategies.
Master the essentials of prompt injection attacks in AI systems - learn identification, risk assessment, and defense strategies.
This comprehensive course explores prompt injection attacks, a critical security concern for organizations using Large Language Models (LLMs). Led by instructor Kevin Cardwell, students learn to identify vulnerabilities, assess risks, and implement effective countermeasures. The curriculum covers practical examples and real-world implications of prompt injection attacks, including potential data breaches and system compromises. Through detailed demonstrations and hands-on learning, participants develop skills to protect AI systems while understanding the OWASP Top 10 for LLMs and essential security principles.
Instructors:
English
What you'll learn
Analyze various attack methods targeting LLM applications
Identify and understand prompt injection attack techniques
Evaluate risks associated with LLM security threats
Formulate effective mitigation strategies
Implement security measures against prompt injection
Master OWASP Top 10 interpretation for LLMs
Skills you'll gain
This course includes:
103 Minutes PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This comprehensive course focuses on understanding and mitigating prompt injection attacks in Large Language Model applications. Students learn to analyze various attack methods, identify vulnerabilities, and implement effective countermeasures. The curriculum covers OWASP Top 10 for LLMs, practical attack scenarios, and security testing challenges. Through demonstrations and real-world examples, participants gain hands-on experience in protecting AI systems while understanding critical security principles like segregation, isolation, and the human loop.
Introduction to Prompt Injection Vulnerabilities
Module 1 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Computer Science Expert and Educational Technology Innovator
Karlis Zars combines academic research with practical industry experience as a Computer Science Ph.D. student at the University of Latvia and JAVA Trainer at Software Development Academy. His seven years of professional experience spans multiple technologies including Java, JavaScript, Linux, and Flutter. At Starweaver, he delivers comprehensive courses in emerging technologies, including Algorithmic Solutions, Cloud Architecture, IoT Systems, Game Development, and Generative AI applications. His previous role as Robotic Process Automation Developer at Rimi Baltic Group demonstrates his expertise in implementing automated business solutions. His teaching portfolio includes specialized courses in GenAI applications for various domains including Cybersecurity, Front-End Development, Mobile Apps, and UX Design. His research focuses on innovative applications of artificial intelligence and machine learning, while his teaching methodology emphasizes practical problem-solving and hands-on experience. His commitment to education extends to mentoring aspiring software developers, helping them acquire essential skills for industry success
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