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Coursera

Secure Coding and SSDLC for Developers

Edureka via Coursera

Overview

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This program equips software developers, DevOps engineers, security engineers, and IT professionals with the foundational knowledge and practical skills required to design, build, and maintain secure software systems in modern development environments. You will begin by exploring the principles of secure coding and the real-world impact of insecure software, examining how vulnerabilities arise and how attackers exploit weaknesses in application logic, input handling, and authentication flows. Through practical examples, you will learn to differentiate between secure and insecure coding patterns and understand how early design decisions influence application security outcomes. Building on this foundation, the course introduces secure development environments and essential security analysis techniques using Linux. You will work with command-line tools to navigate file systems, analyze logs, and identify security-relevant artifacts. Using Kali Linux and regular expressions, you will perform structured analysis of logs and code to detect anomalies and potential threats. You will also explore frameworks such as MITRE ATT&CK to map application-level attacks and understand how vulnerabilities are exploited in real-world scenarios, enabling a deeper understanding of attacker behavior within software systems. Next, the curriculum focuses on implementing core secure coding controls within applications. You will learn how to validate inputs to prevent injection attacks, implement secure authentication and authorization mechanisms, manage sessions effectively, and protect identity flows. Through hands-on exercises, you will apply secure coding techniques to harden application components, reduce attack surfaces, and enforce robust access controls that align with modern security best practices. The course then advances into the Secure Software Development Lifecycle (SSDLC), where you will integrate security across all phases of development—from requirements and design to testing and deployment. You will explore how to embed security controls early through shift-left practices, apply basic threat modeling techniques to identify risks, and incorporate security testing approaches such as Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST). You will also learn how to establish feedback loops that continuously improve code security and reduce vulnerabilities over time. Finally, the program introduces DevSecOps principles and security automation in modern CI/CD pipelines. You will learn how to integrate automated security checks into development workflows, enforce security gates, and manage dependency risks using Software Composition Analysis (SCA). Through practical scenarios, you will understand how security becomes a continuous, automated process that supports faster and safer software delivery. The course culminates in a comprehensive practice project where you will apply secure coding practices, SSDLC principles, and DevSecOps controls to design and evaluate a secure release workflow. By the end of this course, you will be able to: -Analyze the impact of insecure software and identify common vulnerability patterns in application code. -Apply secure coding practices to prevent injection attacks, enforce authentication, and manage sessions securely. -Use Linux-based tools and techniques to analyze logs, detect threats, and support secure development workflows. -Implement SSDLC practices by integrating security controls across development, testing, and release phases. -Apply threat modeling concepts to identify and mitigate risks early in the development lifecycle. -Use SAST and DAST techniques to detect vulnerabilities and improve application security. -Integrate automated security checks and dependency analysis within CI/CD pipelines using DevSecOps practices. -Design and evaluate secure software delivery workflows that align with modern security and compliance standards. This course is designed for: Software Developers and Application Engineers DevOps and Platform Engineers Security Engineers and Application Security Professionals IT Professionals and System Administrators Students and Early-Career Software and Security Practitioners

Syllabus

  • Foundations of Secure Coding and Software Risk
    • Analyze the impact of insecure software by examining common vulnerability patterns, real-world security failures, and how attackers exploit weaknesses in application logic, input handling, and authentication mechanisms. Develop foundational secure coding skills by applying core security principles, validating inputs, and implementing secure authentication and session controls to prevent common attacks. Build practical analysis capabilities using Linux and Kali tools to navigate systems, analyze logs, apply regular expressions, and map application-level threats using frameworks such as MITRE ATT&CK, enabling a deeper understanding of how vulnerabilities translate into real-world attack behavior.
  • Secure Software Development Lifecycle (SSDLC)
    • Implement security across the software development lifecycle by integrating secure practices into requirements, design, development, testing, and release phases. Apply structured approaches such as shift-left security and basic threat modeling to identify risks early and reduce downstream vulnerabilities. Develop practical skills in security testing by analyzing applications using Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST), while incorporating continuous feedback mechanisms to improve code quality and ensure security is embedded as an ongoing process within development workflows.
  • DevSecOps Adoption and Security Automation
    • Analyze the role of DevSecOps in modern software delivery by examining how security can be integrated into continuous integration and continuous deployment (CI/CD) pipelines. Develop practical skills in automating security controls by implementing security as code, enforcing automated security gates, and integrating vulnerability detection into development workflows. Evaluate dependency risks using Software Composition Analysis (SCA) and apply automated security practices to ensure secure, scalable, and reliable software releases in fast-paced engineering environments.
  • Course Wrap-Up and Assessment
    • This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz.

Taught by

Edureka

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