DevSecOps and AI-Driven DevOps Automation

Posted 9 days 4 hours ago by Edureka

Duration : 3 weeks
Study Method : Online
Subject : IT & Computer Science
Overview
Learn to integrate security, automation, and AI into software delivery to help you excel in DevSecOps and cloud engineering roles.
Course Description

Master DevSecOps fundamentals and secure software delivery

As organisations accelerate software delivery through DevOps, security can no longer be treated as an afterthought. DevSecOps integrates security directly into the Software Development Lifecycle (SDLC), ensuring that applications are secure from the start.

On this three-week course, you’ll learn how to implement DevSecOps practices and secure CI/CD pipelines while leveraging AI-driven automation to improve efficiency and resilience.

By the end, you’ll be able to design secure, scalable DevOps pipelines that integrate security, automation, and AI-powered insights.

Implement DevSecOps and secure CI/CD pipelines

You’ll explore secure SDLC practices and implement shift-left security principles to identify vulnerabilities early in the development lifecycle.

Then, you’ll work with industry-standard application security tools and learn how to integrate security directly into CI/CD pipelines. This enables continuous security validation and reduces risk in automated software delivery workflows.

Secure infrastructure, containers, and DevOps systems

Next, you’ll learn how to secure containerized environments and Infrastructure as Code (IaC) using policy-as-code frameworks and runtime monitoring tools.

By combining infrastructure security with DevSecOps practices, you’ll build resilient systems capable of withstanding modern security threats.

Leverage AI for DevOps automation and security intelligence

AI is transforming how DevOps teams detect, prevent, and respond to security risks.

You’ll explore AI in DevOps, using intelligent automation to enhance code analysis, optimise pipelines, and improve infrastructure management.

By integrating AIOps practices, you’ll design DevOps systems that are not only secure but also capable of identifying and resolving issues in real time.

This course is designed for experienced DevOps professionals, security engineers, and technical leaders who want to integrate security and advanced automation into DevOps workflows.

It is suitable for learners interested in DevSecOps practices and AI-driven optimisation of software delivery systems.

A strong understanding of DevOps, CI/CD, and containerization is recommended.

The course is ideal for professionals aiming to implement secure pipelines, manage vulnerabilities, and leverage AI to enhance automation, monitoring, and system reliability.

Semgrep, Trivy, Open Policy Agent, OWASP Dependency-Check, OWASP ZAP, Checkov, Falco, Prometheus, Python

Requirements

This course is designed for experienced DevOps professionals, security engineers, and technical leaders who want to integrate security and advanced automation into DevOps workflows.

It is suitable for learners interested in DevSecOps practices and AI-driven optimisation of software delivery systems.

A strong understanding of DevOps, CI/CD, and containerization is recommended.

The course is ideal for professionals aiming to implement secure pipelines, manage vulnerabilities, and leverage AI to enhance automation, monitoring, and system reliability.

Career Path
  • Describe DevSecOps principles, shift-left security, and secure SDLC practices.
  • Apply security scanning and policy enforcement within CI/CD pipelines.
  • Assess application, dependency, infrastructure, and container vulnerabilities.
  • Identify and investigate runtime threats, anomalies, log patterns, and root causes.
  • Develop AI-assisted monitoring and automated incident management solutions.
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