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⇱ Analyze, Create, and Evaluate Cloud Security | Coursera


Analyze, Create, and Evaluate Cloud Security

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Analyze, Create, and Evaluate Cloud Security

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

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

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

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Security monitoring relies on clear behavioral baselines to separate normal admin activity from anomalies that may signal security threats.

  • Infrastructure-as-code enables proactive security governance, preventing vulnerabilities at scale more effectively than reactive incident response.

  • Compliance frameworks support structured risk management and must be continuously reviewed to adapt to evolving security threats.

  • Automated policy enforcement in CI/CD pipelines builds scalable, sustainable security practices that grow with the organization.

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Recently updated!

January 2026

Assessments

6 assignmentsΒΉ

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the AI Systems Reliability & Security Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

Master the critical skills for securing cloud infrastructure through systematic analysis, proactive policy creation, and comprehensive compliance evaluation. This course empowers you to become a guardian of cloud security by teaching you to detect suspicious privilege escalations in IAM audit logs, automate security governance through infrastructure-as-code policies, and assess organizational controls against industry standards like SOC 2 and NIST.

This Short Course was created to help Machine Learning and Artificial Intelligence professionals accomplish robust cloud security governance that scales with enterprise demands. By completing this course, you'll be able to investigate security incidents with precision, prevent vulnerabilities through automated policy enforcement, and demonstrate compliance readiness that builds stakeholder confidence. By the end of this course, you will be able to: β€’ Analyze IAM audit logs to detect anomalous privilege escalations β€’ Create infrastructure-as-code policies to enforce encryption and network segmentation β€’ Evaluate security controls and practices against industry standards and compliance requirements This course is unique because it bridges the gap between security theory and practical implementation, teaching you to think like both a security investigator and a proactive system architect. To be successful in this project, you should have a background in cloud infrastructure, basic security concepts, and familiarity with Infrastructure-as-Code tools.

Learners will master the critical skill of detecting security threats through systematic IAM audit log analysis, enabling them to protect cloud infrastructure from privilege escalation attacks.

What's included

3 videos1 reading1 assignment

3 videosβ€’Total 11 minutes
  • When Privilege Escalation Goes Undetected β€’2 minutes
  • IAM Log Analysis Techniques and Toolsβ€’6 minutes
  • Hands-On Log Analysis with AWS CloudTrail and Athenaβ€’3 minutes
1 readingβ€’Total 8 minutes
  • Understanding IAM Audit Logs and Threat Patternsβ€’8 minutes
1 assignmentβ€’Total 3 minutes
  • IAM Log Analysis Knowledge Checkβ€’3 minutes

Learners will develop the critical skill of embedding security requirements directly into infrastructure deployment processes, ensuring consistent policy enforcement at scale.

What's included

3 videos2 readings2 assignments

3 videosβ€’Total 16 minutes
  • The Hidden Cost of Security Vulnerabilities in Productionβ€’3 minutes
  • OPA and Terraform Policy Implementation Strategiesβ€’7 minutes
  • Building OPA Policies for Kubernetes Security Enforcementβ€’5 minutes
2 readingsβ€’Total 18 minutes
  • Policy-as-Code Fundamentals and Security Automationβ€’10 minutes
  • Encryption and Network Segmentation Policy Patternsβ€’8 minutes
2 assignmentsβ€’Total 15 minutes
  • Create Encryption and Network Segmentation Policiesβ€’12 minutes
  • Automating Encryption and Network Segmentation with Infrastructure-as-Code Policiesβ€’3 minutes

Learners will develop comprehensive skills in security controls evaluation by systematically assessing organizational security practices against industry standards like SOC 2 and NIST, identifying compliance gaps, and ensuring regulatory adherence for AI/ML environments.

What's included

2 videos1 reading3 assignments

2 videosβ€’Total 12 minutes
  • Mapping AWS Controls to SOC 2 Requirementsβ€’7 minutes
  • Essential SOC 2 Control Assessment Techniquesβ€’5 minutes
1 readingβ€’Total 4 minutes
  • Security Compliance Frameworks and Evaluation Methodologiesβ€’4 minutes
3 assignmentsβ€’Total 32 minutes
  • Complete Security Controls Gap Assessment for AI Compliance Readinessβ€’17 minutes
  • Security Controls Evaluation and Compliance Assessment β€’3 minutes
  • Comprehensive Security Controls Evaluation and Compliance Strategy β€’12 minutes

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Frequently asked questions

In this course, cloud security governance means using a structured way to monitor access activity, enforce security rules in infrastructure, and check controls against recognized standards. The focus is on making security repeatable across cloud environments instead of treating it as a one-time review.

You would use this approach when you need to investigate unusual permission changes, block insecure infrastructure changes before deployment, or assess whether current controls meet compliance expectations. The course places it in everyday cloud operations where access, configuration, and evidence all need regular review.

It fits between routine cloud administration and formal audit work by connecting monitoring, policy enforcement, and control review into one repeatable process. In the course, that means moving from isolated checks toward a broader workflow for investigation, prevention, and evaluation.

Reactive incident response begins after a problem is already in motion, while cloud security governance also focuses on preventing issues and checking controls continuously. Here, the emphasis is not only on handling alerts but on using baselines, automated policies, and reviews to catch weaknesses earlier.

A basic background in cloud infrastructure, core security concepts, and familiarity with infrastructure-as-code tools is helpful before starting. Because the course is intermediate, it assumes you can follow how permissions, configuration changes, and policy checks relate to one another.

Learners work with IAM audit logs and policy-as-code approaches in deployment pipelines. Compliance frameworks such as SOC 2 and NIST are then used to evaluate whether those controls are working as intended.

You practice analyzing access logs for suspicious privilege changes, creating security policies that enforce encryption and network segmentation, and mapping existing controls to compliance requirements. You also document evidence and gaps so the overall governance process supports investigation, prevention, and ongoing evaluation.

Financial aid available,

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