Large Language Models are being embedded into chatbots, customer support systems, code assistants, knowledge management platforms, and critical business applications. But while adoption is skyrocketing, security has not kept up. Attackers are already discovering creative ways to exploit these models through prompt injection, data leakage, model extraction, unbounded resource consumption, embedding inversion, and more. This course is your step by step guide to mastering the OWASP Top 10 for LLMs (2025), the global standard for understanding and defending against the most dangerous vulnerabilities in AI systems.

This Course Offers

• Complete coverage of the OWASP Top 10 for LLMs (2025): Understand the unique risks of LLMs compared to traditional web apps and APIs. Learn to detect and defend against prompt injection, data exfiltration, denial of wallet attacks, resource exhaustion, model extraction, model inversion, embedding inversion attacks, and cross tenant risks in multi user vector databases and RAG setups.
• Practical defense strategies for every vulnerability: Every risk is paired with concrete mitigation techniques you can apply immediately. Learn safe input validation, sanitization, filtering strategies, Role Based Access Control (RBAC), least privilege design principles, adversarial robustness training, continuous red teaming, and secure deployment practices for APIs and LLM driven applications.
• Monitoring, logging, and governance for AI pipelines: Build robust monitoring, logging, anomaly detection, and governance systems for AI pipelines. Explore strategies for preventing sensitive information disclosure from training data and learn best practices for MLOps governance and secure lifecycle management.
• Real world case studies and attack simulations: Gain hands on insights through real world case studies and attack simulations. One student review noted the course content was exactly what they were seeking and the presentation scheme was really good, with the instructor being very knowledgeable and teaching in a good, understandable way.

Why We Love This Course

1. It gives you first mover advantage. Few professionals truly understand LLM security today. By mastering it now, you position yourself as a forward thinking expert in one of the fastest growing fields in cybersecurity. Adding OWASP Top 10 for LLMs (2025) expertise to your CV instantly makes you stand out.
2. It bridges AI and security worlds. Whether you come from a software, security, or AI background, this course gives you a common language and actionable playbook to secure LLM deployments.
3. It includes a free AI bot built by the instructor. Students get exclusive, free, no sign up access to an AI bot designed to help you learn the material, reinforce your knowledge, and gain a real advantage in interviews, real world work, and career growth.
4. It is comprehensive at 12 hours with actionable checklists and frameworks. You walk away with actionable checklists and frameworks to protect LLMs in production, not just theoretical knowledge.

Organizations are deploying LLMs without understanding the new risks. The question is whether you want to become the expert who masters the OWASP Top 10 for LLMs (2025) and can defend against prompt injection, data leakage, and model extraction, or let attackers exploit systems you are responsible for protecting.

• Software developers who integrate LLMs into applications and want to avoid common pitfalls.
• Security engineers and penetration testers interested in the newest category of AI threats.
• AI and ML engineers who need to secure LLM powered pipelines, APIs, and RAG systems.
• Solution architects designing enterprise systems that include AI components.
• Product managers and tech leads who want to understand risks before deploying LLMs in production.
• DevOps and MLOps professionals responsible for monitoring and governance of AI systems.
• Cybersecurity students and researchers exploring adversarial AI and AI ethics.
• Compliance and risk management professionals looking to align AI use with security standards.
• Business leaders and decision makers seeking to make informed choices about adopting LLMs securely.
• Anyone curious about the OWASP Top 10 for LLMs (2025) and eager to learn practical defense strategies.

• Familiarity with web application concepts including APIs, databases, and authentication is helpful.
• General awareness of cybersecurity principles is useful but not required.
• Curiosity about Artificial Intelligence, Machine Learning, or LLMs is important.
• No advanced math or deep AI background is needed. The course focuses on practical security.
• A willingness to experiment with AI tools, prompts, and security testing scenarios.