You will work with AWS security services, Terraform, Checkov, Docker, Falco, Syft, Cosign, Prometheus, Grafana, ELK Stack, Wazuh, Python, scikit-learn, Prophet, and Generative AI tools.

Yes. You will complete demonstrations covering AWS security, infrastructure scanning, container security, runtime threat detection, artifact verification, monitoring, anomaly detection, event correlation, predictive monitoring, and AI-assisted incident response.

You will use AIOps techniques to analyze telemetry, detect anomalies, correlate security and operational events, forecast emerging issues, prioritize incidents, and support faster investigation and response.

Generative AI supports incident summarization, timeline generation, root-cause hypotheses, investigation guidance, remediation recommendations, and post-incident reporting while emphasizing evidence grounding and human validation.

Basic familiarity with DevSecOps, AWS, CI/CD pipelines, Linux, containers, Infrastructure as Code, and monitoring concepts is recommended.

You will develop skills in cloud security, runtime threat detection, software artifact verification, security monitoring, anomaly detection, event correlation, predictive incident management, and AI-assisted incident response.

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 enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.