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Implementing Open Policy Agent for Policy-Driven Control

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Implementing Open Policy Agent for Policy-Driven Control

Included with

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain OPA’s purpose and features, show how to install it and write basic Rego policies for decisions.

  • Develop and validate structured Rego policies, and integrate them into Kubernetes to enforce governance through OPA and Gatekeeper.

  • Design and assess policy-based security and compliance solutions with cross-platform enforcement and monitoring.

Details to know

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Assessments

1 assignment¹

AI Graded see disclaimer
Taught in English

There are 3 modules in this course

In today’s cloud-native environments, security and compliance can no longer rely on manual oversight—policy must be automated, portable, and enforceable across platforms. Implementing Open Policy Agent (IOA) equips learners with the skills to use OPA as a unified, policy-as-code engine for governance and security. Across three focused modules, you’ll discover OPA’s core capabilities, learn to write and test policies in Rego, and integrate OPA with Kubernetes for real-time admission control. Through case studies, AI-guided discussions, and hands-on labs, you’ll explore practical use cases such as enforcing compliance standards, governing resources, and applying policies consistently across clusters, APIs, and CI/CD pipelines.

This course is designed for DevOps engineers, cloud architects, platform engineers, and security professionals seeking to enforce consistent policy control across Kubernetes, microservices, and cloud environments. It’s also valuable for developers and SREs implementing compliance, access control, or governance automation using OPA. Learners should have basic knowledge of Kubernetes, YAML, and cloud-native architecture. Familiarity with JSON, REST APIs, and DevOps pipelines will help maximize the hands-on experience. No prior knowledge of OPA or Rego is required. By the end of the course, you will be able to design, enforce, and monitor policy-driven controls that strengthen security posture, ensure regulatory compliance, and streamline cloud-native operations.

This module introduces the purpose and power of Open Policy Agent as a universal policy engine for cloud-native systems. Learners will install OPA, run it locally, and write their first simple Rego policies to see how policy-as-code translates into real decisions. By the end, participants will be comfortable navigating the OPA environment and ready for deeper integration.

What's included

4 videos2 readings1 peer review

4 videosTotal 23 minutes
  • Introduction to Open Policy Agent for Policy-Driven Control3 minutes
  • What is Open Policy Agent (OPA) and Why It Matters5 minutes
  • Installing and Running OPA8 minutes
  • First Look at Rego: Writing Simple Policies7 minutes
2 readingsTotal 10 minutes
  • Welcome to the Course: Course Overview5 minutes
  • Rego 101: Introduction to Rego5 minutes
1 peer reviewTotal 20 minutes
  • Hands-On-Learning: Writing Your First Rego Policy20 minutes

Here, learners move beyond the basics to structure policies for real-world use, test their correctness, and validate their behavior. Through guided demos, they will practice creating and running tests and see how OPA integrates with Kubernetes via Gatekeeper to enforce governance rules. This module builds confidence in turning conceptual policies into enforceable controls.

What's included

3 videos1 reading1 peer review

3 videosTotal 15 minutes
  • Structuring Policies for Real-World Scenarios4 minutes
  • Testing and Validating OPA Policies5 minutes
  • Integrating OPA into Kubernetes6 minutes
1 readingTotal 5 minutes
  • Taming Rego: Enforcing Structure on a Flexible Policy Language5 minutes
1 peer reviewTotal 20 minutes
  • Hands-On-Learning: Enforcing Kubernetes Admission Control with OPA20 minutes

The final module focuses on applying OPA in production use cases, from enforcing security and compliance frameworks to extending policies across multiple platforms. Learners will also discover how to measure policy performance and track compliance metrics, creating feedback loops for continuous improvement. By the end, they will understand how OPA enables secure, scalable, and adaptable policy-driven control in cloud-native environments.

What's included

4 videos1 reading1 assignment2 peer reviews

4 videosTotal 21 minutes
  • Security and Compliance Use Cases with OPA6 minutes
  • Enforcing Policies across Platforms7 minutes
  • Measuring Policy Impact and Continuous Improvement6 minutes
  • Implementing OPA for Policy-Driven Control3 minutes
1 readingTotal 5 minutes
  • OPA Gatekeeper Explained: Real-World Policy Enforcement for EKS Cluster5 minutes
1 assignmentTotal 20 minutes
  • Implementing Open Policy Agent for Policy-Driven Control20 minutes
2 peer reviewsTotal 80 minutes
  • Hands-On-Learning: Enforcing Compliance Policies Across Platforms20 minutes
  • Project: Designing and Enforcing End-to-End Policy with OPA60 minutes

Instructors

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Frequently asked questions

In this course, policy-driven control with OPA means defining governance, security, and compliance rules as code so systems can make consistent allow-or-deny decisions. The focus is on learning how those decisions are written, tested, and applied across cloud-native environments rather than handled by manual review.

You would use OPA-based policy control when the same rules need to be enforced repeatedly across clusters, APIs, or delivery workflows instead of being checked by hand. The course frames it as a way to keep access control, resource governance, and compliance decisions portable and consistent.

It fits into the build-and-test portion of a cloud-native workflow, after teams know what rules they want and before those rules need to be enforced continuously. In the course, learners move from expressing policy logic to validating it and then connecting it to running environments for real-time decisions.

Unlike manual rule enforcement, OPA-based policy control separates decision logic from individual applications and infrastructure components. That makes policies easier to reuse, test, and apply consistently instead of relying on scattered scripts, reviews, or team-by-team conventions.

A basic understanding of Kubernetes, YAML, and cloud-native architecture is helpful before starting this course. Familiarity with JSON, REST APIs, and DevOps pipelines can make the hands-on work easier, but no prior experience with OPA or Rego is required.

The course centers on Open Policy Agent and the Rego policy language, with Kubernetes as the main enforcement environment. It also introduces policy testing and Kubernetes integration through Gatekeeper.

You practice installing and running OPA, writing and structuring Rego policies, testing and validating policy behavior, and integrating policy enforcement with Kubernetes. You also work on monitoring policy decisions and compliance signals so the controls can be improved over time.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.