Starts today
Online
Track
Data Center Engineer
Treat an AI data center as one connected engineering system: power, electrical infrastructure, GPU racks, heat, network, and operations.
Private Discord community
Practice, quizzes, and a final project
Mentors and checkpoints
Lifetime access and updates
TrackAn engineering and operations framework for people who review, coordinate, or make infrastructure decisions. Distinguish announced capacity from live capacity, trace energy and heat, select a rack within site constraints, triage network symptoms, and connect the critical path to capex, opex, and launch readiness. Protection and hydraulic design still require a qualified specialist.
- Separate announced, connected, and critical IT capacity and connect them to PUE
- Trace the power path from utility to rack, including UPS, A/B feeds, and redundancy schemes
- Select a GPU rack against power, thermal, network, storage, and serviceability limits
- Build a thermal trace from chip to ambient through direct-to-chip cooling, CDU, climate, and WUE
- Triage a leaf-spine cluster through NCCL, oversubscription, ECN, and out-of-band management
- Connect commissioning, critical path, capex, opex, TCO, telemetry, and an incident update
Data Center Engineer
Who this is for
New
Beginning infrastructure engineers and analysts who need an end-to-end map of an AI data center
Pro
PMs and technical coordinators connecting site, electrical, rack, cooling, and network decisions
Operations teams that need to read telemetry and localize incidents
Investors and strategists checking claims about capacity, schedule, and site readiness
Adjacent specialists without prior substation, hydraulic, or network-topology design experience
The manager already has your details
We’ll get back to you shortly.
Have questions?
We’ll reply within 15 minutes
Or contact
Curriculum
Six modules move through the site, electrical path, GPU racks, heat, network, and operating economics.
01
Data Center Map
02
Electrical
03
GPU Racks and Compute
04
Cooling
05
Network and Cluster
Show more
Learning Platform
Short lessons, practice, and final artifacts live on one platform. Wallet login does not require a separate password.
- Wallet LoginConnect MetaMask from any device and resume where you stopped. You do not need a separate password.
- Short LessonsLessons are split into small blocks. Complete one in a short session, then resume from the same point later.
- Practice ThroughoutAssignments apply the material right after a lesson. In larger programs, separate outputs build toward a final project or capstone.
- One WorkspaceLessons, quizzes, assignments, and course materials stay together. Technical tasks can use the editor and syntax highlighting.
CommunityEach block ends with an assignment. Keep the intermediate results and assemble the final piece step by step.
Reviews and Community
01
Practice Reviews
Mentors review code, models, product decisions, and research artifacts in a format that fits each program.
02
Expert AMAs
Developers, researchers, and founders answer questions and show how they make decisions in real projects.
03
Research Briefings
The Guide DAO team follows new papers, tools, protocols, and working practices and connects them to the curriculum.
What You Leave With
Finish the program with a verifiable result you can show to a team or use in your next project.
Final Project
Build the program's main result against clear criteria and take it to a state another person can verify.
Portfolio of Work
Keep intermediate artifacts, sources, and decisions so others can see how you worked and why you reached the result.
Next Step
Record the result's limits, open questions, and next actions for your own project, a team, or a new role.