Grades 9-12

Data centers, AI, cloud computing, and careers.

High school resources for understanding the infrastructure behind the modern internet, artificial intelligence, cybersecurity, cloud computing, and digital careers.

What students should understand

Data centers are infrastructure

Data centers are part of modern infrastructure, similar to power, water, roads, and telecommunications. They support business, education, healthcare, finance, government, entertainment, and AI.

AI depends on physical systems

AI may feel like software only, but it depends on servers, chips, cooling, power delivery, networks, storage systems, and people who operate them.

Technical overview

Compute

CPUs, GPUs, and accelerators

Traditional workloads often use CPUs. AI workloads commonly use GPUs or specialized accelerators that can process many calculations at the same time.

Storage

Data storage

Data centers store files, databases, backups, images, videos, AI models, logs, and application data.

Networking

Moving data

Fiber networks, switches, routers, and internet exchanges move data between users, applications, cloud providers, and other data centers.

Power

Electrical systems

Utility feeds, switchgear, UPS systems, PDUs, batteries, and generators help deliver reliable power.

Cooling

Heat management

Cooling can include air cooling, chilled water, closed-loop systems, evaporative cooling, direct-to-chip liquid cooling, or hybrid designs.

Security

Cyber and physical security

Data centers need both cybersecurity controls and physical security controls to protect systems and information.

Career pathways

Technical careers

  • Network technician
  • Systems administrator
  • Cybersecurity analyst
  • Data center technician
  • Cloud engineer
  • AI infrastructure engineer

Skilled trades and operations

  • Electrician
  • HVAC technician
  • Critical facilities technician
  • Security officer
  • Project manager
  • Construction manager

Responsible AI use

Students should learn how to use AI as a tool for brainstorming, tutoring, feedback, summarization, and research support. They should also learn when AI use is not appropriate, how to disclose AI assistance, and how to verify AI-generated information.

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