AI & Cloud Security
Cloud Security Engineer
Landing zones, IAM, KMS, workload protection, and detection engineering across all three clouds.
About this learning path
Become the engineer who ships secure cloud infrastructure. Deep, hands-on training across AWS, Azure, and GCP with production-grade patterns and detection engineering.
Career outcomes
- Cloud Security Engineer
- Detection Engineer (Cloud)
Prerequisites
- Comfort with the Linux shell and Git
- Basic networking and one scripting language
Learning path modules
- 1
Build multi-account landing zones and secure baselines
Guided + challenge labs Knowledge check
- 2
Master IAM, KMS, and workload protection patterns
Guided + challenge labs Knowledge check
- 3
Instrument detection and response with native tooling
Guided + challenge labs Knowledge check
- 4
Automate posture management with IaC and policy-as-code
Guided + challenge labs Knowledge check
Capstone project
Design, implement, document, and defend a full environment you can show employers.
Labs & projects
Stage 1
Guided
Step-by-step build instructions.
Stage 2
Assisted
Fewer steps, more decisions.
Stage 3
Challenge
Objectives only — you solve it.
Stage 4
Capstone
Full environment, documented.
What you walk away with
- Deployable landing-zone blueprints
- Detection library across AWS, Azure, and GCP
- Interview-ready cloud security portfolio
Join the waitlist
Cloud Security Engineer is opening later. Drop your email to get notified when enrollment opens — waitlist members get first access and early-bird pricing.
Learn at your pace
Access content on your own schedule.
Hands-on practice
Build real environments, not click-throughs.
Portfolio evidence
Documented projects you can show employers.
Support community
Get help from peers and mentors.