DevSecOps with AI: Secure CI/CD Pipelines for Go Applications

Security shouldn't be an afterthought in modern software delivery. Integrating AI into your DevSecOps pipeline allows you to identify vulnerabilities early, automate compliance, and deploy Go applications with confidence across multi-cloud environments.\n\nThis text-only course guides you through the foundations of DevSecOps, showing you how to build secure CI/CD pipelines using GitHub Actions. You will learn to leverage AI tools to analyze code, automate remediation, and secure deployments to Kubernetes, AWS, and Azure.\n\nWhat you'll learn:\n- Understand foundational DevSecOps principles and core security concepts for containerized Go applications\n- Build automated CI/CD pipelines using GitHub Actions for building, testing, and deploying code\n- Implement automated security scanning for static analysis (SAST), dependencies (SCA), and container images\n- Apply AI-assisted workflows to analyze vulnerability reports and generate automated code fixes\n- Configure secure deployments to multi-cloud environments across AWS, Azure, and Kubernetes\n- Practice writing secure configurations and managing secrets safely throughout the delivery lifecycle\n\nThe course starts with essential security concepts and Go application basics, before moving into step-by-step pipeline configuration. You will progress from basic linting to advanced multi-cloud deployment strategies, incorporating AI-driven security analysis at each stage.\n\nThis course is designed for beginners to DevSecOps, software developers, and system administrators looking to integrate security into their development pipelines. No prior DevSecOps experience is required, though a basic understanding of programming concepts is helpful.\n\nStart reading today to build smarter, safer, and more resilient deployment pipelines.