Cloud Fundamentals
Compute, storage, networking and the shared responsibility model across AWS, Azure, and GCP.
Every module includes live instruction, hands-on labs, a graded deliverable, and a 1-on-1 mentor review. Six phases. One defended capstone.
Compute, storage, networking and the shared responsibility model across AWS, Azure, and GCP.
TCP/IP, DNS, routing, VPCs, peering, and hybrid connectivity for secure cloud workloads.
Threat models, the CIA triad, encryption at rest and in transit, and defense-in-depth.
IAM policies, RBAC, federation, MFA, and least-privilege design at enterprise scale.
GuardDuty, Security Hub, KMS, WAF, VPC security groups, and S3 hardening.
Defender for Cloud, Entra ID, Key Vault, Sentinel, and Conditional Access.
Security Command Center, IAM, VPC Service Controls, KMS, and Chronicle.
Log pipelines, SIEM tuning, dashboards, and detection engineering.
MITRE ATT&CK for cloud, anomaly detection, and behavioral analytics.
Runbooks, containment, forensics in cloud, and post-incident review.
Landing zones, organizational policies, tagging, and guardrails.
SOC 2, ISO 27001, HIPAA, PCI DSS, NIST CSF mapped to cloud controls.
How LLMs, embeddings, and ML pipelines work. The engineer's mental model.
OWASP Top 10 for LLMs, model risk, data lineage, and AI threat modeling.
Securing Bedrock, Azure AI Foundry, Vertex AI, and Hugging Face deployments.
Infrastructure-as-Code scanning, SOAR, and Python automation for SecOps.
Reference architectures, zero-trust patterns, and multi-cloud design.
Design, deploy, and defend a production-grade secure cloud + AI workload.
Resume rewrite, LinkedIn optimization, portfolio, and personal brand.
Technical + behavioral mocks with hiring managers, plus career placement.
Ready when you are
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