A 14-month live engineering residency designed to take you from Linux and cloud foundations to enterprise AI security architecture without shortcuts
No shortcuts. No hype. Just live engineering and production-grade systems.
The world is rushing to deploy AI, but the industry has a problem: we are building advanced intelligence on top of broken infrastructure. Most bootcamps promise you “AI Security” in 90 days. That is a lie. You cannot secure a Neural Network if you don’t understand the Linux Kernel it runs on.AI systems run on infrastructure. We teach you how that infrastructure works and how to secure it.
Gracespot Academy is not a bootcamp. It is an Engineering Residency.
No Pre-Recorded Videos. Real-time engineering.
No Shortcuts. We start at the bottom (Linux/Network) to build you to the top (AI Governance).
No Fluff. If you can’t build it in the terminal, you don’t know it.
Whether you stop after Phase 1 or finish the full Residency, you build real skills at every step.
⏱ 5 MONTHS
🟢 BEGINNER FRIENDLY
The Foundation. Stop clicking buttons and start engineering...The Foundation. Stop clicking buttons and start engineering. You will master the Linux command line, architect secure AWS networks, and harden the attack surface.
⏱ 4 MONTHS
🟢 BEGINNER FRIENDLY
The Build. Move from manual configuration to Infrastructure as Code. You will build the secure pipelines that deliver AI models to production, using Terraform, Docker, and CI/CD to automate the defense.
⏱ 5 MONTHS
🔥 ADVANCED
The Specialization.
This phase focuses on securing real AI-enabled systems. You will learn how AI pipelines are deployed, where they fail, and how to defend them using secure engineering practices.
You will analyze model risks, secure containerized AI workloads, and implement practical governance controls aligned with recognized frameworks like NIST AI RMF.
At Gracespot Academy, learning is built around doing, not watching. From the earliest weeks, students work hands on with systems, networks, and cloud environments, learning how technology behaves under real conditions. Each phase includes guided labs and structured projects that reinforce core concepts, expose common failures, and build practical problem solving skills.
Guided labs and structured exercises reinforce core concepts and expose common system failures.
Each month includes a major project that combines multiple skills across Linux, cloud, DevOps, and AI security, reflecting how real systems behave.
Projects and labs are reviewed, refined, and built upon as students advance, ensuring skills compound rather than reset at each phase.
We don't do theoretical quizzes. You will build, break, and secure systems that reflect real production environments.
These projects increase in complexity across the program and are completed with guided instruction and structured review, allowing students to demonstrate capability, not just completion.
Our program is built for capability, not just exams. However, we align with the world's most recognized frameworks to ensure your skills are globally validated.
"Alignment supports your learning goals, but our primary focus remains on building real capability through 14 months of applied engineering."
"I founded Gracespot Academy because the industry is desperate for Builders, not just paper-pushers. I built this program to give you the technical character to survive the interview and thrive on the job."
As a practitioner and educator, my goal isn't to help you pass a quiz. It’s to ensure you can architect, secure, and defend the systems that run the modern world. We don't do "easy" here we do competent.
Gracespot is built on real-time engineering.This structure is designed to support learners who value consistency, accountability, and long-term skill development over accelerated or unstructured learning. This is what we expect from our builders.
| Format | 3-Phase Roadmap |
| Timeline | 14 Months |
| Cohort Size | Strictly 40 Seats |
| Schedule | Tue, Thu & Sat |
| Intake | Fixed Start Dates |
Gracespot Academy is built for learners who are ready to invest time, effort, and consistency into mastering cloud, DevOps, and AI security foundations. If this approach aligns with your goals, the next step is to apply or request additional details.
Applications are reviewed to ensure cohort fit and learning readiness.