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Build secure AI-assisted applications with confidence.
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Apply OWASP, threat modeling, and secure coding.
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Automate security reviews and secure release workflows.
This course provides a practical guide to building secure applications while using AI coding assistants, combining proven application security principles with modern AI-assisted development workflows. Through hands-on demonstrations and real-world activities, you will learn how to identify security risks early, validate AI-generated code, and integrate security throughout the software development lifecycle.
You will begin by setting up your development environment and learning secure vibe coding practices before exploring threat modeling, OWASP guidance, access control, input validation, authentication, authorization, JWTs, and ASP.NET Core Identity. Throughout the course, you will compare AI-generated solutions with human security reviews while strengthening applications through secure coding techniques and defensive design.
The course also covers secrets management, dependency hygiene, supply chain security, automated security testing, AI-assisted code reviews, secure coding agents, and deployment checklists. By the end of the course, you will be equipped to use AI development tools responsibly, identify and remediate security vulnerabilities, and confidently build, review, test, and deploy secure AI-assisted applications.
This course is designed for software developers, .NET developers, application security engineers, DevSecOps practitioners, technical leads, and AI-assisted developers who want to build secure applications while using modern coding assistants. It is ideal for professionals seeking practical guidance on secure coding, threat modeling, authentication, AI code review, and secure software delivery. Basic knowledge of C#, .NET, and web application development is recommended.
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Apply secure coding practices to AI-generated code
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Perform threat modeling during application development
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Implement secure authentication using ASP.NET Core Identity
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Protect applications through secrets and dependency management
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Validate AI-generated code using security testing
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Build secure software delivery workflows with AI assistance