Learn to integrate security, automation, and AI into software delivery to help you excel in DevSecOps and cloud engineering roles.
Duration
3 weeksWeekly study
3 hours100% online
How it worksIncluded in an ExpertTrack
Course 4 of 4
DevSecOps and AI-Driven DevOps Automation
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.
Syllabus
Week 1
Build DevSecOps and Secure Development Foundations
Build a Foundation in DevSecOps
This activity begins with the security challenges of traditional DevOps, then moves into DevSecOps objectives, benefits, and core principles for integrating security into software delivery.
Explore Shift-Left Security and Security as Code
This activity begins with security as code and shift-left security, then moves into security automation and the differences between traditional and secure software development lifecycles.
Integrate Security Controls into CI/CD
This activity begins with security integration across SDLC phases and static application security testing, then moves into automated code scanning and policy enforcement within CI/CD pipelines.
Week 2
Assess and Protect Applications, Infrastructure, and Containers
Examine Application Security and Vulnerability Risks
This activity begins with dynamic and composition-based security testing, then moves into OWASP risks and common application vulnerabilities that affect modern software systems.
Assess Open-Source and Application Dependencies
This activity begins with open-source software risks and vulnerability identification standards, then moves into dependency scanning, software composition analysis, and dynamic application testing.
Secure Infrastructure and Container Workloads
This activity moves into security validation for infrastructure code, container images, and running workloads using automated cloud-native security tools.
Week 3
Apply AI to DevOps Automation and Operations
Build a Foundation in AI-Assisted DevOps
This activity begins with generative AI and AI agents in DevOps, then moves into LLM-based infrastructure code generation and AI-supported infrastructure automation.
Apply AI to Code Analysis and Monitoring
This activity begins with AI-assisted DevOps automation and anomaly detection, then moves into AI-supported static analysis and machine learning-based monitoring.
Automate Log Analysis and Incident Management
This activity begins with AI-powered log analysis and pattern recognition, then moves into incident prediction, and automated incident management.
Prove you're job ready
Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
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Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- 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.
Who is the course for?
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.
What software or tools do you need?
Semgrep, Trivy, Open Policy Agent, OWASP Dependency-Check, OWASP ZAP, Checkov, Falco, Prometheus, Python
Who will you learn with?
Who developed the course?
Edureka
Edureka is a global online learning platform offering industry-focused training in emerging technologies such as Cloud, AI, GenAI, Data Science, DevOps, and Cybersecurity, helping professionals upskill and advance their careers.
Start learning today - free 2-day trial
After your free trial you can:
- Pay $39 per month to keep learning online
- Have complete control over your subscription; you can cancel any time
- Work at your own pace and set your own deadlines at every stage
- Only pay while you’re learning; the subscription will cancel automatically when you finish
- Complete online assessments to test your knowledge and prove your skills
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Learning on FutureLearn
Your learning, your rules
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- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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