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Details
Categories:
Cyber Security Agile and Lean
Level:
Fundamentals
Tier type:
PremiumPlus
Code:
QADEVSECOPS
Exam:
Not Applicable

Overview

This practical course builds expertise in enterprise-scale AI-powered DevSecOps practices for modern software delivery environments. Delegates will learn to build secure DevSecOps pipelines with AI integrated from the start, using the Model Context Protocol (MCP) to enrich findings and streamline triage. The course covers supply chain security, automation, and the most effective tools used in production, helping learners overcome common DevSecOps challenges and scale security across enterprise environments. Hands-on labs and guidance from experienced security professionals ensure practical skills and real-world application.



Prerequisites

Anybody with a background in IT or related to software development whether a developer or a manager can attend this course to get an insight about DevOps and DevSecOps.

Target audience

  • DevOps and DevSecOps engineers
  • Application security engineers
  • Developers and technical leads
  • Enterprise and solution architects
  • Operations teams
  • CISOs

What's included

Select your preferred way to learn:

What is Virtual?

Live, instructor-led training delivered online

Enables teams or individuals to learn together without travel, maintaining interaction, discussion and practical exercises while minimising time away from the business and supporting scalable training delivery.

Who is it for: Individuals and teams needing flexible, instructor-led learning without time away from the business.

Do you know about our Attend from Anywhere (AFA) option? 

Join in person or remotely, with the same live instruction, interaction and hands-on experience—wherever you are.

What's included?

2 Days instructor led course

Exam: Not Applicable

6 month free access to QA learning platform

Free 6-Month Access: Learning Platform Discovery plan

Included FREE with every instructor‑led course

Get free guided access to the QA Learning Platform. Assess your skills, explore in-demand topics, and understand which areas to focus on.

Learn AI, Cloud, Data, and Leadership skills at your own pace.

Put skills into practice with hands-on Labs and Simulabs.

Validate knowledge and highlight gaps with skills assessments.

What is bespoke training? 

Custom instructor-led training designed by QA to fit your needs

Tailored programmes built around your organisation’s goals, challenges, and skill levels. Delivered in the format that suits you to maximise relevance and impact.

Best for: Organisations and teams looking to target specific business priorities and capabilities with QA subject matter expertise.

 

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Dates

Course dates and Locations

No dates available?

Can't find a date that fits? Need to train your whole team, explore classroom options, or looking for a discount?

Outline

Lab setup

  • Introduction to online lab setup and GitHub CI/CD

Introduction to DevOps

  • Overview of industry standards and practices
  • Continuous Integration (CI)
  • Continuous Delivery (CD)
  • Infrastructure as Code (IaC)
  • Continuous Monitoring

Introduction to DevSecOps

  • Integrating security into the software development lifecycle
  • Shift Left
  • DevSecOps lifecycle
  • Vulnerability management

Role of version control

  • Git as central version control
  • GitHub platform and actions ecosystem
  • Pull requests and merge requests

Supply chain security

  • Ensuring trusted and verified components
  • Creating security artifacts like provenance
  • Pushing results into ASPM
  • SLSA levels and AIBOM

Continuous integration

  • Identifying and remediating issues early
  • Pre-commit hooks and frameworks
  • Secrets management and credential handling
  • Tools: GitHub actions, GitHub Secrets, Talisman, Trufflehog, Defect Dojo

Software composition analysis (SCA)

  • Conducting SCA scans locally and in pipelines
  • Integrating with ASPM
  • Remediation strategies
  • Tools: Dependency-check

Enabling AI using MCP

  • Fundamentals of Model Context Protocol (MCP)
  • Building and deploying MCP server
  • Reducing token costs
  • Tools: MCP Server, MCP Client, GitHub Actions

SAST

  • Running and integrating SAST scans
  • Customising SAST rules
  • False positive analysis in ASPM
  • AI enrichment of findings
  • Tools: Opengrepo MCP Tool

AI Pen-testing and DAST

  • Configuring DAST for continuous testing
  • AI-driven Pen testing agents
  • Using OWASP ZAP and AI-assisted tools
  • Tools: AI Pentest tool, MCP Tool, OWASP ZAP

Continuous deployment

  • Embedding security controls in deployment pipelines
  • Using SBOM as a deployment gate
  • Fixing flagged components and dependency issues
  • Assessing infrastructure security
  • Tools: CycloneDX, Docker, MCP Tool

Continuous monitoring

  • Logging and monitoring applications and infrastructure
  • Setting up logging and monitoring
  • Firewalls and SIEM
  • Custom firewall rules
  • Tools: ModSecurity, Wazuh

DevSecOps challenges and enablers

  • Overcoming organisational and cultural challenges
  • Creating security champions
  • Case study discussions

Exams and assessments

Certificate of completion and Continuing Professional Education (CPE) credits awarded. Learning pack provided. Missing information provided for this section.

Hands-on learning

  • Running tools and testing against realistic use cases in dedicated labs
  • Automating code reviews for vulnerability and supply chain security
  • Implementing Defence in Depth and Secure by Design environments
  • Embedding human and cultural aspects of DevSecOps
  • Connecting MCP server to pipelines and using AI agents for enrichment, triage, and remediation

Learning outcomes

This course uses a Defence by Offense methodology based on real-world offensive research (not theory). That means everything we teach has been tried and tested, either in a live environment or in our labs, and can be applied (by you) once the course is over.

Delegates will learn how to:

  • Focus on supply chain security to harden CI/CD pipelines.
  • Exactly where to start when shifting from DevOps to DevSecOps.
  • Understand the role of Asset registry, security onboarding, vulnerability management, and supply chain security.
  • See how AI agents, connected via the Model Context Protocol (MCP), enrich and triage findings directly inside your DevSecOps pipeline.
  • Learn how to automate security into a fast-paced DevOps environment using various open-source tools and scripts that don’t slow down delivery.
  • Master the ability to craft custom rules for SAST, WAF, and Compliance as Code (CaC) to strengthen application security, enforce policies at scale, and proactively defend against evolving threats.
  • Hands-on experience in managing Application Security Posture Management(ASPM) systems and remediating issues to reduce the attack surface.
  • How to secure the pipeline from supply chain attacks using provenance and SBOM.
  • How to secure your methodology for managing and delivering Infrastructure as Code (IaC).
  • How to use Wazuh to monitor your application’s behaviours with logs and alerts.
  • How AI-assisted pentesting complements traditional DAST scanning.
  • What challenges to expect when moving to a DevSecOps model and how to overcome them.
  • How to mature your DevSecOps approach over time.

Good to know

QA is proud to be an official partner with NotSoSecure.

NSS Technical Paper - Defending against Client-Side Attacks

Download Technical Paper

Why choose QA

Cyber Security learning paths

Want to boost your career in cyber security? Click on the roles below to see QA's learning pathways, specially designed to give you the skills to succeed.

= Required
= Certification
AI Governance
AI Security
Secure Engineering
Cyber Defence
Cloud Security
Incident Response
Industrial Controls & OT Security
Information Security
Security Assurance Pathway
Offensive Security
Privacy Professional
Reverse Engineer
Security Auditing
Security Risk
Core Cyber Security

Software learning paths

Want to boost your career in software engineering? Click on the roles below to see QA's learning pathways, specially designed to give you the skills to succeed.

= Required
= Certification
Front End Developer
Back End Developer Java
Back End Developer .NET
Cloud Developer AWS
Cloud Developer Azure
Secure Engineering
Back End Developer Average salary: £81,000
Back End Developer Average salary: £81,000

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What our customers are saying

“I would say the secure software engineering programme QA built, is beyond training. It is more around making transformation in the mindset of people, and this was exactly what we are looking for.”

 

Emil Minev

Senior Consultant & Programme Manager, Paysafe Group

“I really enjoyed the practical experience given by the labs, and also being able to make use of the expertise of the trainers and learn tips and tricks from them. Overall, it was an excellent overview of the cyber security profession as a whole. The learning experience was fun and exciting!”

 

QA learner

“I loved learning about Open Source Intelligence - the things you can do just with Google are amazing! Also, being able to meet, work with, and chat to other people interested in cyber was fantastic.”

QA learner

Portfolio Director

Richard Beck

Portfolio Director – Cyber

Richard is an experienced security professional turned educator, with over 15 years in operational security roles. He is driven by a commitment to helping address immediate and longer-term cyber skills shortages and bring a more diverse range of individuals and experiences into cyber. Visit my page
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