Requirements

• Basic understanding of software development concepts and programming fundamentals.,Familiarity with Git
• GitHub
• and command-line operations is helpful but not mandatory.,Basic knowledge of Python or another programming language is recommended.,A computer with internet access capable of running VS Code
• Python
• Git
• and Docker.,A free GitHub account for source control and CI/CD pipeline exercises.,Access to an AI coding assistant such as GitHub Copilot
• Cursor
• or Claude Code is helpful; paid subscriptions are not required for the core lessons.,No prior DevSecOps certification or advanced cybersecurity expertise is required.,A willingness to experiment with security tools
• complete hands-on exercises
• and learn modern secure development practices.

Description

Who this course is for:

• Software developers and engineers using AI coding assistants who want to write and deliver more secure software.,DevOps and DevSecOps engineers looking to integrate automated security controls into AI-assisted development workflows.,Cybersecurity and application security professionals responsible for identifying and mitigating software vulnerabilities.,AI developers and engineers building applications with AI coding tools and autonomous development agents.,Cloud engineers and platform engineers responsible for securing CI/CD pipelines
• containers
• and development infrastructure.,Software architects and technical leaders designing secure AI-assisted software development practices.,Engineering managers and technology leaders responsible for enterprise AI coding adoption
• security governance
• and compliance.,IT professionals transitioning into DevSecOps
• application security
• or AI-assisted software engineering roles.,Developers interested in hands-on experience with GitHub Actions
• Semgrep
• CodeQL
• Gitleaks
• Docker
• Trivy
• and other security tools.