
The GRC Engineering Masterclass - Frameworks to Automation
Last updated 9/2026
Created by Taimur Ijlal | Award winning cybersecurity leader and instructor
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 27 Lectures ( 3h 37m ) | Size: 2 GB
Design and automate GRC controls in real-world cloud environments
What you'll learn
Hands-on course that teaches you how to move GRC from checklists to automation
How GRC is evolving in the age of AI
Build automated, scalable, and intelligent governance systems in the cloud.
How to codify frameworks like ISO 27001, SOC 2, and PCI DSS using cloud and vibe codingRequirements
Basic knowledge of the cloud
Basic knowlege of GRC
In-depth knowledge of cloud or GRC is not requiredDescription
Governance, Risk, and Compliance has traditionally relied on spreadsheets, manual control checks, evidence requests, and periodic audits.
But modern technology environments move too quickly for GRC to stay manual.
Cloud infrastructure changes continuously. Applications are deployed through code. Security configurations can drift in minutes. And AI is creating new risks and governance requirements faster than traditional compliance processes can keep up.
This is whereGRC Engineering comes in.
GRC Engineering is the evolution of traditional Governance, Risk, and Compliance into a more technical discipline. Instead of managing controls through spreadsheets and manual checklists, GRC Engineers use automation, APIs, cloud-native services, Infrastructure-as-Code, and AI to continuously enforce, monitor, and report on compliance.
Think of it asDevSecOps for governance and compliance.
TheGRC Engineering Masterclass is a practical, hands-on course designed to help security professionals, GRC analysts, consultants, and risk practitioners move beyond traditional compliance work and learn how to build automated, scalable, and intelligent governance systems.
You will learn how to translate frameworks such as ISO 27001, SOC 2, and PCI DSS into technical controls using AWS, Python, Terraform, APIs, and AI-driven automation.
Most importantly, this course focuses on implementation - not endless policy slides.
What You Will Learn
How GRC Engineering differs from traditional GRC and why organisations are moving toward more technical governance models
How to translate ISO 27001, SOC 2, and PCI DSS requirements into technical and automated controls
How to turn compliance into code using AWS Config, Python scripts, Terraform, APIs, and automation workflows
How to use Policy-as-Code to continuously evaluate and enforce compliance requirements
How to automate evidence collection and reduce manual screenshots, spreadsheets, and audit preparation
How to build Continuous Assurance models where controls are monitored continuously rather than only during audits
How cloud-native services can automatically identify configuration drift, compliance failures, and control gaps
How AI copilots and vibe coding can help GRC professionals create automation without becoming full-time developers
How modern GRC roles are evolving toward Policy-as-Code, security automation, AI governance, and continuous complianceWho Should Take This Course
This course is designed for cybersecurity and GRC professionals who want to become more technical and understand how modern compliance programmes are being automated, including
GRC analysts who want to move beyond spreadsheets and manual control testing
Security professionals looking to move into GRC, cloud governance, or compliance automation
Cloud security engineers who want to understand how compliance requirements translate into technical controls
Consultants, auditors, and risk managers who want to make their GRC work more scalable
Security engineers interested in Policy-as-Code, automation, and continuous compliance
Security architects responsible for designing compliant cloud environmentsThe skills covered in this course can help prepare you for emerging roles such asGRC Engineer, GRC Architect, Cloud Compliance Engineer, Security Automation Specialist, Cloud Governance Engineer, and Technical GRC Consultant.
How This Course Is Different
Most GRC courses focus on documentation, frameworks, controls, and theory.
This course focuses on what happens next.
How do you actually implement those controls inside a cloud environment?
How do you monitor them automatically?
How do you continuously collect evidence?
How do you use Python, Terraform, APIs, and AI to reduce repetitive GRC work?
You will see practical AWS use cases, automation examples, control-testing approaches, audit scenarios, and real architectures designed to show what GRC looks like inside a modern technology stack.
Prerequisites
A basic understanding of cybersecurity concepts is recommended
Familiarity with GRC, ISO 27001, SOC 2, or PCI DSS is helpful but not required
General awareness of cloud computing, particularly AWS, will help with the practical examples
No advanced programming experience is required
Basic Python, Terraform, and command-line concepts are introduced where needed
You do not need to become a developer - the focus is on understanding how automation, cloud, and AI can transform modern GRCGRC is moving from spreadsheets to automation, from periodic audits to Continuous Assurance, and from manual checklists to Policy-as-Code.
This course is designed to help you build the technical skills needed for that transition.
Who this course is for
GRC Professionals
IT Risk Management professionals
CISOs , CROs, CTOs,
DevSecops professionals
Anyone looking to move into GRCHomepage
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