Learn the job by doing the job.
This first release teaches the prerequisites a new person needs before Kubernetes and AI infrastructure: core IT concepts, Linux, basic networking, Git, scripting and containers.
Training loop
Foundation modules
Sellable beta target: $99–$19901 · IT & Cloud Foundations
Servers, clients, IP, DNS, ports, APIs, CPU/RAM/storage, virtual machines, security basics.
02 · Linux & Command Line
Files, processes, permissions, services, networking tools, logs and troubleshooting.
03 · Git, Bash & Python
Version control, simple shell automation and enough Python to call an API and inspect results.
04 · Containers
Images, containers, registries, ports, environment variables, volumes and container troubleshooting.
01 · IT & Cloud Foundations
Goal: understand the words your coworkers use and follow the path of a request from a user's device to a service.
Core vocabulary
Comprehension check
“Website works by IP, but company name fails.”
A user reports that http://203.0.113.20 works, but http://training.example does not.
Your task: Identify the most likely subsystem and write a short technician note.
02 · Linux & Command Line
Goal: navigate a Linux system, inspect services and gather evidence before making changes.
Command map
Rule: collect evidence first. Avoid random changes until you can explain what problem you're trying to solve.
Simulated terminal
Web service stopped responding
Use the simulated terminal. Determine whether the service is running and what port is listening.
03 · Git, Bash & Python
Goal: make safe changes, track them and automate small operational tasks.
Git: the minimum useful workflow
Operational habit: inspect what changed before deploying it.
Bash
Python: API health check
A configuration change broke the health endpoint.
Previous value: APP_PORT=8000
Current value: APP_PORT=8088
Service configuration still sends traffic to port 8000.
04 · Containers
Goal: understand the unit Kubernetes will later orchestrate.
Vocabulary
Docker-compatible command concepts
-p 8080:80 mean?
Container starts, then exits immediately.
Evidence:
05 · Foundation Capstone
A practical readiness checkpoint before Kubernetes. Passing means the trainee has demonstrated the prerequisites, not that they are an AI infrastructure engineer.
Capstone status
Complete Modules 1–4 first.
Customer-facing API is unavailable after a configuration change.
Write a technician resolution note containing: symptom, evidence, root cause, corrective action, verification, and whether escalation is required.