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Secure Software Development: Principles, Design, and Gen-AI
Rating: 4.5 out of 5(10 ratings)
257 students

Secure Software Development: Principles, Design, and Gen-AI

Learn to Build Secure Applications, Debug and Mitigate Cyber Threats with Real-World Case Studies & AI-Driven Techniques
Created byRakia Ben Sassi
Last updated 5/2025
English

What you'll learn

  • Key principles for secure programming to build robust applications.
  • Defensive and security-by-design strategies for safer software systems.
  • Reverse engineering and debugging techniques tailored for generative AI.
  • Practical lessons from real-world case studies like the XZ Backdoor incident.

Course content

9 sections • 21 lectures • 1h 10m total length

  • About Me1:07

    Raja introduces himself as a freelance senior software engineer and software architect, highlighting expertise in angular, web performance optimization, system design, and cloud computing.

Requirements

  • Familiarity with software development lifecycle concepts.
  • A curious mindset to learn advanced security and AI-driven debugging.
  • A computer with internet access for hands-on activities and quizzes.
  • Basic programming knowledge in any language (e.g., Python, Java, C++).

Description

Did you know that 71% of organizations have Security Debt - according to the Veracode's State of Software Security 2024 report? Are you ready to master the art of secure software development and thrive in the tech landscape?

This interactive comprehensive course takes you on a journey through modern security practices, defensive design principles, and cutting-edge AI debugging techniques.

Learn how to safeguard your applications by understanding essential principles for secure programming, implementing defensive design, and embracing memory-safe programming practices. Dive into real-world case studies, including the XZ Backdoor attack and the Log4j zero-day vulnerability, to uncover actionable lessons and strategies.

You’ll also explore the intersection of generative AI and security, reverse engineering, and the nuances of AI bias, accuracy, and security. With hands-on quizzes, practical tips, and case studies, you’ll gain the tools to apply these concepts effectively.

Discover how to debug generative AI models and future-proof your software using the latest methods and technologies.

By the end of this course, you’ll have the expertise to build secure systems, debug complex issues, and protect your applications from emerging threats.

Whether you're a developer or security professional, this course equips you with invaluable skills to excel in the field of secure software development. I designed it to transform the way you approach software security and design.

Who this course is for:

  • Software developers looking to enhance their application security skills.
  • IT professionals responsible for cybersecurity and compliance.
  • Enthusiasts eager to explore AI debugging and secure system design.
  • Students or beginners who want to future-proof their programming expertise.

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