AI for Security & DevOps
Master AI-powered security scanning, infrastructure hardening, CI/CD pipeline security, incident response, and compliance automation. 8 lessons + certificate.
Organizations using AI-driven security reduce breach lifecycles by 80 days and save $1.9 million per incident. But most DevOps teams are still drowning in 500-alert dashboards where 85% are false positives.
This course teaches you to integrate AI into every layer of your security stack — from vulnerability scanning and infrastructure hardening to CI/CD pipeline security and incident response. You’ll build a DevSecOps workflow where AI handles the noise so your team focuses on real threats.
By the end of this course, you’ll have a complete AI-powered security toolkit — from scanning code and containers to monitoring production, responding to incidents, and maintaining compliance. You’ll know which tools to use at each stage, how to reduce alert fatigue, and how to build security into your pipeline without slowing down deployments.
What You'll Learn
- Use AI tools to scan for vulnerabilities and prioritize remediation by actual risk
- Apply AI-assisted infrastructure-as-code security to Terraform, Kubernetes, and cloud configurations
- Design secure CI/CD pipelines with automated security gates and policy enforcement
- Analyze security incidents using AI-powered monitoring, log analysis, and root cause identification
- Implement compliance automation for SOC 2, HIPAA, and PCI-DSS with AI-generated documentation
- Evaluate AI security tools and build an integrated DevSecOps workflow
After This Course, You Can
What You'll Build
Course Syllabus
Who Is This For?
- DevOps engineers adding security to their workflow
- Security engineers integrating with DevOps teams
- Platform engineers and SREs responsible for infrastructure security
- Engineering managers building a DevSecOps practice
- Anyone responsible for both shipping fast AND shipping secure
Frequently Asked Questions
What technical background do I need?
You should be comfortable with basic DevOps concepts — CI/CD, containers, cloud infrastructure, and command-line tools. This is an intermediate course, not a beginner introduction to DevOps.
Which cloud platforms does this cover?
Concepts apply to AWS, Azure, and GCP. Examples use multi-cloud scenarios with specific tool recommendations for each provider. The AI workflows are platform-agnostic.
Is this a penetration testing course?
No — this course focuses on defensive security integrated into DevOps workflows (DevSecOps). You'll learn to scan, detect, respond, and prevent, not to exploit. Offensive security techniques are out of scope.
Do I need paid AI tools to follow along?
Most examples use ChatGPT or Claude for analysis and policy generation. Specialized tools like Snyk, Aikido, and CrowdStrike are introduced with free tiers where available. The core workflows work with free AI tools.
