This course is ideal for AI engineers, data scientists, security professionals, IT auditors, risk managers, and organizational leaders responsible for AI deployment. It is also suitable for anyone interested in understanding AI security, governance, and practical risk mitigation for both GenAI and agentic systems.

The course is approximately 5 hours long, with content structured across four parts covering introduction, AI risk landscape, governance and compliance, and secure development and operations. Learners can complete it at their own pace.

The course introduces key frameworks and standards such as OWASP LLMSecOps, NIST AI Risk Management Framework, MITRE ATLAS, and the NIST Cybersecurity Framework Profile for AI. It also discusses global AI regulations and EU risk classification frameworks, helping learners align AI systems with industry best practices and compliance requirements.

The course emphasizes actionable practices such as AI asset inventory creation, model documentation, AI Bill of Materials, threat intelligence, red teaming, and security metrics. These tools enable learners to translate theoretical risk assessments into real-world security controls and operational practices for secure AI deployment.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.