One foundation, then real depth across Cloud, Security, and AI — at a pace personalized to where you start.
Hands-on learning needs the right space. SKAISTACK classes are designed to give students a focused, professional, and structured environment where real technical learning can happen.
A strong learning environment helps students stay focused, work through labs with confidence, and build the discipline needed for real careers in AI, Cloud, Cybersecurity, and Linux.
A focused, professional space built for hands-on learning.
On-site personnel, a safe controlled setting for real training.
Stable connectivity for real-time labs and deployments.
Touch-screen walkthroughs — active learning, not passive.
Room to pause and recharge between sessions.
Not three unrelated options — three stages of the same path. Each one prepares you for the next.
Linux, networking, virtualization. The operating layer everything else in this program runs on.
Go deep across all three disciplines: Cloud & Platform, Security & Reliability, and AI & Automation.
Build a production-style capstone project to show on GitHub and in interviews, then practice the real thing.
Core Infrastructure is the base everything else is built on. Every student starts here, then builds real depth across all three disciplines — one complete curriculum, not a fork in the road.
Linux, networking, virtualization — the operating systems everything else runs on.
Design, deploy, and operate in AWS, Azure, and GCP with confidence.
Harden systems, detect threats, apply real compliance controls.
Deploy and operate AI/LLMs on real infrastructure, not demos.
Linux is the backbone of modern infrastructure. Here, you'll work directly with the operating systems that power cloud platforms, AI workloads, and secure environments.
You'll go beyond commands and learn how systems behave, fail, and recover in real-world conditions.
Focus areas include: system administration, processes and services, storage and filesystems, networking fundamentals, permissions, logging, and troubleshooting live systems.
Boot processes, service management, monitoring, and recovery.
Disks, partitions, and memory diagnosis at scale.
Interfaces, routing, DNS, firewalls, secure access.
Logs, process analysis, and real failure investigation.
Every concept is paired with an interactive lab you run yourself — real hardware, real consoles, not a slide deck.
Deploy and scale applications
Build with LLMs and AI frameworks
Build and run containerized apps
Write and deploy infrastructure as code
Harden systems, detect real threats
Practice administration and scripting
Master version control and collaboration
Master Python for DevOps and automation
Every student goes through all four — Foundations first, then progressively deeper expertise across Cloud, Security, and AI. Your assessment sets your starting pace, not which of these you learn.
Build a rock-solid base in Linux, networking, virtualization, and core infrastructure.
Design, deploy, and operate in AWS, Azure, and GCP with confidence.
Secure systems, detect threats, and build resilient, compliant infrastructure.
Practiced at every layer, L1–L7 — not a phase you finish, a discipline you carry through all of them.
Leverage AI and automation to build, operate, and optimize at scale.
SKAISTACK is designed as a guided journey — not a collection of disconnected courses. You'll move step by step, building the right foundations first, then specializing based on your goals, and finally preparing for real-world roles.
Every stage builds on the one before it, so you always know what you're learning, why it matters, and what comes next.
Apply to SKAISTACK and complete a short skills assessment. This helps us place you on the right starting point — no guesswork, no wasted time.
Learn Linux, networking, and infrastructure fundamentals through guided labs. You'll work in real environments, not simulations.
Move beyond fundamentals to deploy Cybersecurity, AI, or Cloud Engineering — and deploy real workloads, automate systems, and solve production-style problems.
Build a production-style capstone project you can show on GitHub and in interviews, practice technical interviews, and get interview-readiness support designed around how hiring actually works.
You'll start with a conversation with our admissions team — not a test — to talk through your background, where you're starting from, and how the program lines up with the career you're aiming for.
Yes. After that conversation, you're invited in for a tour — see the racks, the equipment, and the space you'd actually be training in, and get a clear picture of what you'll learn and where it can take you.
Yes — that first conversation exists to find your actual starting point, not assume one. Foundations is built for people who've never touched a terminal.
Everyone starts at Foundations, but your admissions conversation finds out what you already know, so you move through familiar material faster and reach deeper work sooner.
Physical racks, live troubleshooting, an instructor in the room, and a small in-person cohort — not a video queue. You train hands-on from rack-and-stack all the way through AI, on real hardware.
Applying starts a conversation, not a form dump. Here's what actually happens next.