Essential AI Security: Master the OWASP Top 10 for LLMs

Join this Free Udemy Course on AI Security! Learn about the OWASP Top 10 for LLMs and secure your AI deployments today.

In today’s technology landscape, understanding and securing Large Language Models (LLMs) is not just a nicety; it’s a necessity. With AI’s rapid integration into critical systems and applications, from chatbots to enterprise-level software, the accompanying security risks have surged. This course dives into the OWASP Top 10 for LLMs (2025), which lays out a framework for professionals to navigate and defend against the unique vulnerabilities that these advanced models present. By exploring real-world case studies and performing live demonstrations, learners will grasp how these attacks function and the defenses that can be implemented.

The OWASP Top 10 for LLMs is designed for those eager to be at the forefront of AI security. Learners will not only understand the threats posed by LLMs, including prompt injection and data leakage, but also obtain strategies for mitigating these risks effectively. This course arms participants with practical skills and a comprehensive playbook to secure AI-driven applications, emphasizing the importance of turning theoretical knowledge into actionable security practices.

Furthermore, as AI security skills are in high demand, this course enhances your professional profile significantly. Whether you are a developer, security engineer, product manager, or a student, this course offers valuable insights and knowledge that will prepare you for the future of technology, ensuring your skills remain relevant in an ever-evolving field. Do not miss the opportunity to enhance your understanding of LLM security and make a meaningful impact in your career by mastering essential AI security principles.

What you will learn:

  • Understand the fundamentals of Large Language Models (LLMs) and their security landscape
  • Explore the OWASP Top 10 for LLMs (2025) and why it matters for developers, architects, and security professionals
  • Identify common vulnerabilities unique to LLMs, such as prompt injection and data leakage

Course Content:

  • Sections: 3
  • Lectures: 15
  • Duration: 4h 14m

Requirements:

  • Familiarity with web application concepts (APIs, databases, authentication)
  • General awareness of cybersecurity principles (helpful but not required)
  • Curiosity about Artificial Intelligence, Machine Learning, or LLMs

Who is it for?

  • 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/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

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