How I Learn¶
The method behind these notes — and why they look the way they do.
The Problem with Most Study Notes¶
Most AWS notes are either:
- Too shallow — service lists with no mental model behind them
- Too long — copied from docs, impossible to revisit quickly
- Not connected — individual facts with no architecture thinking
Notes like that fail at recall. You read them once, remember 30%, and never go back.
The Compression Method¶
Every note here follows the same structure:
- Ultra-short summary — what is this really about, in 3–5 sentences
- Key concepts — terms and definitions, 1–2 lines each, no filler
- Mental model — the core idea as a flow:
Service A → does X → produces Y - AWS context — which services, which real scenarios, SAA-style thinking
- Step-by-step (where relevant) — workflow extracted as clean bullet steps
- 30-second takeaway — the compressed pocket version
- Self-quiz — scenario-style questions focused on tricky distinctions
The goal: read a note once, understand the structure of the idea, and be able to recall the pattern — not individual facts.
Why This Works (For Me)¶
My brain stores patterns, not isolated details. So instead of memorising "S3 stores objects" I build:
Data that doesn't change often, needs global access, no fixed size
→ Object storage
→ S3
→ Bucket + Key + Value model
→ Versioning, lifecycle policies, cross-region replication
→ SAA: "durable, scalable, cheap" = S3
Once the pattern is there, everything else slots in around it.
The Learning Workflow¶
| Step | Action |
|---|---|
| 1 | Define what I'm learning exactly |
| 2 | Strip to the smallest building block |
| 3 | Understand the layer underneath it |
| 4 | Add one layer of complexity |
| 5 | Identify the pattern — what category does this belong to? |
| 6 | Ground it in 2–3 real examples |
| 7 | Teach it back in my own words |
| 8 | Connect it across domains (networking → VPC → security groups → IAM) |
| 9 | Iterate — revisit, refine, repeat |
Learning Mirrors Bodybuilding¶
The same principles apply:
| Bodybuilding | Learning |
|---|---|
| Progressive overload | Increasing conceptual load |
| Volume | Repetition and practice |
| Recovery | Spacing + rest between topics |
| Nutrition | Quality inputs (labs, diagrams, real scenarios) |
| Periodisation | Focused blocks (SAA → CDK → Security → etc.) |
Don't cram. Build progressively. The compound effect over months is enormous.
How I Handle Learning at Work¶
The high-ROI combo:
- Passive content (videos, docs) → skim for pattern, don't try to memorise
- Labs → this is where real understanding happens
- Scenario questions → builds architecture intuition, not just fact recall
What These Notes Are Not¶
- Not a replacement for labs (do the lab, then read the note)
- Not a certification cheat sheet
- Not complete — they grow as I learn
They're a working system, not a finished product.