DevSecOps Foundations: Secure Software and AI Systems

Modern software development moves fast, but speed should never come at the expense of security. To stay ahead of evolving threats, security must be woven into the very fabric of the development process rather than added as an afterthought. This course provides a comprehensive introduction to the principles of DevSecOps, teaching you how to build resilience into your applications and infrastructure from the ground up. You will gain the knowledge needed to bridge the gap between development, operations, and security teams, ensuring that every release is both functional and secure. What you'll learn: - Understand the core principles of DevSecOps and how to embed security into automated pipelines. - Apply modern cryptographic techniques to ensure data integrity and confidentiality across systems. - Secure software development life cycles by identifying and mitigating common vulnerabilities early in the process. - Implement zero-trust architecture concepts to protect cloud-native environments and internal networks. - Defend AI systems by understanding adversarial risks and applying robust security measures to machine learning models. - Practice threat modeling to anticipate and document risks before they impact your production environment. The course begins with essential cyber security terminology and foundational definitions before moving into practical strategies for securing data and AI-driven applications. You will explore how to automate security checks and maintain a strong defensive posture in a fast-paced development environment through written explanations and technical walkthroughs. This course is designed for beginners interested in security, software development, or IT operations. No prior experience in cyber security or DevOps is required to begin. Start building more secure and reliable software today.