Training Content

85 Lessons

Cloud Security Engineer

By neo_admin Categories: Administration, Cloud, Cloud Security, Cyber, Cybersecurity, Security

About Course

This course prepares learners to design, implement, and manage secure cloud infrastructures across major cloud platforms (AWS, Azure, GCP). It covers cloud security frameworks, identity and access management, threat detection, incident response, and compliance.

Secure cloud infrastructure and data across AWS, Azure, and GCP.
Implement identity, access, and network security controls.
Monitor cloud environments and detect threats proactively.
Respond to incidents and perform cloud forensics.
Ensure compliance with global regulations and cloud governance standards.
Design secure cloud applications and integrate DevSecOps practices.
Address emerging threats and adopt advanced cloud security frameworks.

Course Content

Module 1: Introduction to Cloud Security

Cloud computing fundamentals: IaaS, PaaS, SaaS
Cloud deployment models: public, private, hybrid, multi-cloud
Cloud security challenges and shared responsibility model
Key cloud security standards and frameworks: CSA, NIST, ISO 27017/27018
Cloud threat landscape and common attack vectors
Labs & Activities:
Explore cloud management consoles (AWS, Azure, GCP)
Map security responsibilities in shared responsibility models
Identify real-world cloud security breaches and lessons learned

Module 2: Identity & Access Management (IAM) in the Cloud

IAM fundamentals: users, groups, roles, policies
Authentication methods: passwords, MFA, SSO, federated identity
Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC)
Privileged access management and least privilege principle
Identity federation and cloud-native directory services
Labs & Activities:
Configure IAM users, groups, and roles in AWS/Azure
Implement MFA and conditional access policies
Simulate access control scenarios and audit permissions

Module 3: Cloud Networking & Perimeter Security

Virtual networks, subnets, and peering
Firewalls, security groups, network ACLs, and route tables
VPNs, Direct Connect, ExpressRoute, and hybrid connectivity
DDoS mitigation and distributed network attack prevention
Cloud load balancers, CDN security, and web application firewalls (WAF)
Labs & Activities:
Design a secure VPC/VNet with public and private subnets
Configure network security groups and firewall rules
Implement DDoS protection and test response

Module 4: Data Protection & Encryption

Data classification, governance, and lifecycle management
Encryption at rest, in transit, and in use
Cloud-native encryption tools (AWS KMS, Azure Key Vault, GCP KMS)
Data tokenization, masking, and secure backups
Key management and rotation best practices
Labs & Activities:
Encrypt storage volumes and databases using cloud KMS
Implement access policies for encrypted data
Configure automated key rotation and backup encryption

Module 5: Cloud Security Monitoring & Threat Detection

Security monitoring frameworks for cloud environments
Cloud-native monitoring tools: AWS CloudTrail, GuardDuty, Security Hub; Azure Security Center; GCP Security Command Center
SIEM integration for multi-cloud monitoring
Threat intelligence feeds and anomaly detection
Log management, alerting, and dashboards
Labs & Activities:
Configure cloud-native monitoring and alerting
Analyze security logs to detect suspicious activity
Integrate cloud logs into a SIEM platform

Module 6: Incident Response & Forensics in the Cloud

Cloud incident response lifecycle
Evidence collection, preservation, and chain of custody in cloud environments
Investigating compromised cloud resources
Automation of incident response (playbooks, Lambda functions, Logic Apps)
Post-incident analysis and reporting
Labs & Activities:
Simulate a cloud security breach and respond using incident response tools
Conduct forensic analysis of cloud logs and storage
Document incident reports and recommendations

Module 7: Application & API Security in the Cloud

Secure cloud-native application design
Web and API security: authentication, authorization, throttling, rate-limiting
Container and serverless security best practices
CI/CD pipeline security and DevSecOps integration
Vulnerability scanning and patch management
Labs & Activities:
Deploy a secure cloud application using containers or serverless functions
Implement API security policies and testing
Conduct vulnerability scans on cloud workloads

Module 8: Compliance, Governance & Risk Management

Cloud compliance frameworks: GDPR, HIPAA, PCI DSS, SOC 2, ISO 27001
Policy creation, auditing, and enforcement
Cloud governance tools: tagging, resource management, policy automation
Risk assessment and mitigation strategies
Third-party risk and supply chain security
Labs & Activities:
Implement compliance policies in cloud platforms
Conduct a risk assessment for cloud resources
Create automated governance rules and alerts

Module 9: Advanced Cloud Security & Emerging Threats

Zero trust security architecture in cloud environments
Hybrid and multi-cloud security strategies
AI/ML-driven threats and security automation
Serverless and container security trends
Post-quantum cryptography and future-proofing cloud security
Labs & Activities:
Design a zero-trust model for multi-cloud infrastructure
Simulate cloud attacks and evaluate mitigation strategies
Research emerging cloud threats and present findings

Module 10: Capstone Project

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Last Update:

September 8, 2025

Cloud Security Engineer

Training Content

About Course

What Will You Learn?

Requirements

Audience

Course Content

Module 1: Introduction to Cloud Security

Cloud computing fundamentals: IaaS, PaaS, SaaS

Cloud deployment models: public, private, hybrid, multi-cloud

Cloud security challenges and shared responsibility model

Key cloud security standards and frameworks: CSA, NIST, ISO 27017/27018

Cloud threat landscape and common attack vectors

Labs & Activities:

Explore cloud management consoles (AWS, Azure, GCP)

Map security responsibilities in shared responsibility models

Identify real-world cloud security breaches and lessons learned

Module 2: Identity & Access Management (IAM) in the Cloud

IAM fundamentals: users, groups, roles, policies

Authentication methods: passwords, MFA, SSO, federated identity

Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC)

Privileged access management and least privilege principle

Identity federation and cloud-native directory services

Labs & Activities:

Configure IAM users, groups, and roles in AWS/Azure

Implement MFA and conditional access policies

Simulate access control scenarios and audit permissions

Module 3: Cloud Networking & Perimeter Security

Virtual networks, subnets, and peering

Firewalls, security groups, network ACLs, and route tables

VPNs, Direct Connect, ExpressRoute, and hybrid connectivity

DDoS mitigation and distributed network attack prevention

Cloud load balancers, CDN security, and web application firewalls (WAF)

Labs & Activities:

Design a secure VPC/VNet with public and private subnets

Configure network security groups and firewall rules

Implement DDoS protection and test response

Module 4: Data Protection & Encryption

Data classification, governance, and lifecycle management

Encryption at rest, in transit, and in use

Cloud-native encryption tools (AWS KMS, Azure Key Vault, GCP KMS)

Data tokenization, masking, and secure backups

Key management and rotation best practices

Labs & Activities:

Encrypt storage volumes and databases using cloud KMS

Implement access policies for encrypted data

Configure automated key rotation and backup encryption

Module 5: Cloud Security Monitoring & Threat Detection

Security monitoring frameworks for cloud environments

Cloud-native monitoring tools: AWS CloudTrail, GuardDuty, Security Hub; Azure Security Center; GCP Security Command Center

SIEM integration for multi-cloud monitoring

Threat intelligence feeds and anomaly detection

Log management, alerting, and dashboards

Labs & Activities:

Configure cloud-native monitoring and alerting

Analyze security logs to detect suspicious activity

Integrate cloud logs into a SIEM platform

Module 6: Incident Response & Forensics in the Cloud

Cloud incident response lifecycle

Evidence collection, preservation, and chain of custody in cloud environments

Investigating compromised cloud resources

Automation of incident response (playbooks, Lambda functions, Logic Apps)

Post-incident analysis and reporting

Labs & Activities:

Simulate a cloud security breach and respond using incident response tools

Conduct forensic analysis of cloud logs and storage

Document incident reports and recommendations

Module 7: Application & API Security in the Cloud

Secure cloud-native application design

Web and API security: authentication, authorization, throttling, rate-limiting

Container and serverless security best practices

CI/CD pipeline security and DevSecOps integration

Vulnerability scanning and patch management

Labs & Activities:

Deploy a secure cloud application using containers or serverless functions

Implement API security policies and testing

Conduct vulnerability scans on cloud workloads

Module 8: Compliance, Governance & Risk Management

Cloud compliance frameworks: GDPR, HIPAA, PCI DSS, SOC 2, ISO 27001

Policy creation, auditing, and enforcement