The Cloud Security Engineer Learning Path is designed to equip professionals with the skills and knowledge required to secure cloud environments across AWS, Azure, and GCP. This course covers critical areas such as identity and access management (IAM), network and storage security, Infrastructure as Code (IaC) security, and compliance with industry regulations. Participants will learn to implement advanced threat detection, monitor cloud security posture, and automate security testing in CI/CD pipelines. Through hands-on projects and real-world scenarios, learners will build, secure, and maintain cloud-native applications, gaining expertise in cloud penetration testing, incident response, and risk management. This program is ideal for security engineers looking to master cloud security principles and develop resilient, scalable, and compliant cloud infrastructures.
Understand the evolution of cloud security, why it matters, and the role of a Cloud Security Engineer in modern organizations.
Learn about the key responsibilities, skill sets, and impact of Cloud Security Engineers in protecting cloud environments.
Explore common threats, vulnerabilities, and risk factors unique to cloud infrastructures.
Review IaaS, PaaS, and SaaS, and understand the AWS, Azure, and GCP shared responsibility models.
Learn the basics of cloud architecture across major platforms, focusing on their security features and best practices.
Understand regions, zones, and network topologies that support high availability and resilience.
Master core IAM principles, including role-based access control (RBAC), multi-factor authentication, and least privilege.
Learn to secure and audit IAM configurations using tools and best practices from AWS IAM, Azure Active Directory, and GCP IAM.
Explore identity federation, conditional access policies, and automated IAM monitoring.
Secure cloud networking by configuring VPCs/VNets, subnets, security groups/NSGs, firewalls, and VPN connections.
Learn best practices for securing storage services (e.g., AWS S3, Azure Blob Storage, GCP Cloud Storage), including encryption, access controls, and lifecycle management.
Understand secure connectivity options and network segmentation to protect data in transit.
Deploy and manage cloud resources using tools such as Terraform, AWS CloudFormation, or ARM/Bicep.
Integrate automated scanning (using tools like Checkov or EasyInfra) to identify and remediate misconfigurations in your IaC code.
Incorporate security testing into automated deployment pipelines to ensure continuous compliance.
Learn how to secure applications deployed on Kubernetes (e.g., EKS, AKS, GKE) and serverless platforms (AWS Lambda, Azure Functions, GCP Cloud Functions).
Explore methods for dynamic application security testing, container image scanning, and vulnerability assessments.
Understand architectural best practices for building secure, cloud-native applications.
Utilize tools like AWS CloudWatch, Azure Monitor, and GCP Operations Suite to collect security logs, metrics, and traces.
Build dashboards and configure alerts to proactively detect security incidents.
Develop strategies for rapid incident response, post-incident analysis, and continuous improvement.
Learn about regulatory standards such as PCI-DSS, HIPAA, GDPR, and how they apply to cloud environments.
Implement cloud governance practices using tools like AWS Config, Azure Policy, or GCP’s Security Command Center.
Automate risk assessments and maintain a robust security posture using Cloud Security Posture Management (CSPM) solutions.
Explore sophisticated threat detection techniques, including behavioral analytics, anomaly detection, and Zero Trust principles.
Learn advanced techniques for testing cloud environments and simulating adversarial attacks.
Stay current with innovations such as AI-driven security, microsegmentation, and security automation frameworks.
Engage in practical projects that integrate the key concepts covered in this learning path. For example, deploy a multi-tier cloud-native application on AWS, Azure, or GCP that incorporates secure networking, storage, IAM, and monitoring.
Configure Role-Based Access Control (RBAC) and Least Privilege Access across multiple cloud platforms.
Implement multi-factor authentication (MFA) and conditional access policies.
Audit IAM setups using native tools (AWS IAM Analyzer, Azure Identity Secure Score, GCP IAM Analyzer).
Set up secure virtual networks (AWS VPC, Azure VNet, GCP VPC), including subnets, security groups, NSGs, and firewall rules.
Implement secure VPN connections for inter-cloud connectivity.
Deploy cloud storage (AWS S3, Azure Blob Storage, GCP Storage) with data encryption at rest/in transit and lifecycle management.
Write secure Terraform or CloudFormation templates.
Integrate automated IaC scanning tools (Checkov, Terrascan) into CI/CD pipelines.
Remediate detected misconfigurations automatically before deployment.
Secure Kubernetes clusters (EKS, AKS, GKE) with admission controllers, RBAC, and Pod Security Policies.
Implement vulnerability scanning (Trivy, Clair) and DAST (OWASP ZAP, Burp Suite) within CI/CD.
Harden serverless environments (AWS Lambda, Azure Functions, GCP Functions) against common web threats.
Configure advanced security logging and monitoring tools (CloudWatch, Azure Monitor, GCP Operations Suite).
Create real-time dashboards and alerting rules for incident detection.
Simulate security incidents and automate incident response procedures (isolation, forensic analysis).
Deploy automated compliance monitoring tools (AWS Config, Azure Policy, GCP Security Command Center).
Set up automated compliance reporting aligned with PCI-DSS, HIPAA, and GDPR.
Implement automated remediation actions based on compliance violations.
Perform cloud penetration tests using industry-standard tools and methods.
Detect sophisticated threats leveraging behavioral analytics and anomaly detection.
Implement zero-trust principles, microsegmentation, and advanced security automations.
Deploy multi-tier cloud-native applications securely across AWS, Azure, or GCP.
Automate secure provisioning using Infrastructure as Code (Terraform, CloudFormation).
Implement advanced IAM, secure network design, encrypted storage, and automated CI/CD pipelines.
Configure advanced monitoring, logging, incident response, and compliance management systems.
Perform end-to-end penetration tests, vulnerability assessments, and implement advanced threat detection techniques.
Deploy comprehensive infrastructure using Terraform and Deployment Manager.
Create a robust CI/CD pipeline integrating automated testing, vulnerability scanning, and security validation.
Implement container orchestration with GKE, leveraging advanced networking and security features.
Ensure high availability through multi-region deployments, load balancing, and automated failover strategies.
Configure monitoring, logging, and alerting solutions for full observability.
Optimize and govern cloud costs through strategic tagging, budgeting, and usage tracking.