Course Outline
In this course, you'll dive deep into the critical aspects of AI safety, focusing on protecting your systems from emerging threats. We'll cover how to recognize and mitigate prompt injection attacks, understand key security and privacy concerns specific to LLMs, and explore tools designed to safeguard sensitive data. You'll gain practical strategies to secure your AI workflows, ensuring your applications remain trustworthy, resilient, and compliant. By the end, you'll have a solid foundation in identifying vulnerabilities and implementing safety measures essential for responsible AI development.
Learning Outcomes
- Recognize and defend against prompt injection attacks.
- Understand AI security risks and privacy concerns.
- Implement effective safety measures in AI workflows.
Who is This Course For?
This course is designed for intermediate developers, AI practitioners, and security professionals who want to understand the risks associated with AI systems and learn how to defend against them. If you're working with AI applications and need to ensure their security and reliability, this course is for you.
Why Enroll?
- Gain a strong foundation in AI safety and security.
- Learn best practices for mitigating vulnerabilities in AI systems.
- Secure your AI workflows to build trustworthy applications.
Pre-requisites
- Basic understanding of AI and machine learning principles.
- Familiarity with cybersecurity concepts is helpful but not required.
Let's Get Started!
Ensure your AI systems are safe and secure. Sign up now to master AI safety and security! 🚀 👉 [Start Learning Today!]
