Perfect 👍
We’ll do this exactly like a real mentor-led program:
- 📅 Day-by-day deep tutorials (Day 1 → Day 30)
- 🧠 Conceptual + real-world + interview mindset
- 🛠️ Hands-on AWS build AFTER concepts
- 🧾 Whiteboard system-design drills
- 🧠 Printable 1–2 page AWS cheat sheet (final)
I’ll start DAY 1 right now and explain how the rest will be delivered, so it’s structured and not overwhelming.
🧭 HOW THIS PROGRAM WILL RUN (IMPORTANT)
🔹 Format (Every Day)
Each day will have:
- Mental model (WHY this exists)
- Deep concepts (architect-level)
- Real-life industry usage
- Interview-grade explanations
- Mini hands-on / thought exercise
- What to remember (core memory hooks)
⏱️ Designed for 2–3 hours/day max
📅 DAY 1 — CLOUD THINKING RESET (MOST IMPORTANT DAY)
If Day 1 clicks, everything else becomes easy.
🎯 Day 1 Goal
You will stop thinking like an on-prem engineer
and start thinking like a cloud architect.
1️⃣ What “Cloud” Actually Means (NO AWS MARKETING)
❌ Wrong Understanding
“Cloud = someone else’s server”
✅ Correct Understanding
Cloud = on-demand programmable infrastructure + managed services
You don’t:
- Buy servers
- Predict capacity
- Manage hardware failures
You describe intent, AWS executes it.
2️⃣ Cloud Service Models (CRITICAL FOR DECISIONS)
IaaS vs PaaS vs SaaS
| Model | Meaning | AWS Examples |
|---|---|---|
| IaaS | You manage OS & apps | Amazon EC2 |
| PaaS | AWS manages infra | AWS Glue |
| SaaS | You just use app | Athena, QuickSight |
🧠 Key Insight (Interview Gold)
The more AWS manages, the less control you have — but the faster you deliver.
3️⃣ Global Infrastructure (WHY AWS IS RELIABLE)
Core Terms
- Region → Physical geography (Mumbai)
- Availability Zone (AZ) → Independent data center
- Edge Location → CDN delivery
Why This Matters
- High availability
- Disaster recovery
- Compliance
🧠 Interview line:
“We designed workloads across multiple AZs for fault tolerance.”
4️⃣ Shared Responsibility Model (VERY IMPORTANT)
Who is responsible for what?
| AWS | You |
|---|---|
| Data center | Data |
| Hardware | IAM |
| Network | OS config |
| Physical security | Application logic |
🧠 Real-life failure:
Company leaked data → AWS NOT responsible
5️⃣ Cloud Economics (WHY CLOUD WON)
On-Prem Reality
- Buy peak capacity
- Hardware idle 70% time
- Slow scaling
Cloud Reality
- Pay per second
- Scale instantly
- Kill resources when idle
🧠 Architect thinking:
“Design for cost, not just performance”
6️⃣ Core AWS Account Mental Model
AWS Account
├── Regions
│ ├── Services
│ │ ├── IAM
│ │ ├── S3
│ │ ├── EMR
│ │ ├── Glue
📌 Services are region-scoped (most)
7️⃣ Real-Life Example (Data Engineer)
On-Prem
Server down → data lost → manual recovery
AWS
AZ down → traffic shifts → no downtime
This is why companies pay AWS billions.
🧪 DAY 1 MINI EXERCISE (DO THIS)
Answer in your own words (no googling):
- Why does AWS use regions + AZs instead of one giant data center?
- Why is cloud cheaper even if hourly cost looks higher?
- In AWS, who is responsible for data security?
(Just think — no need to send answers unless you want feedback)
🧠 DAY 1 MEMORY ANCHORS (SAVE THIS)
Cloud ≠ Server
Cloud = Programmable Infrastructure
More Managed → Less Control → Faster Delivery
Less Managed → More Control → More Ops
AWS secures infra
YOU secure data & access
🎤 INTERVIEW-LEVEL STATEMENT (YOU CAN SAY THIS)
“Cloud computing enables on-demand infrastructure with shared responsibility, allowing teams to focus on application and data rather than hardware.”
⏭️ DAY 2 — IAM AT MASTER LEVEL (SECURITY = CAREER)
Tomorrow we’ll go very deep into:
- IAM users vs roles
- Trust policies vs permission policies
- How EMR, Glue, Lambda actually access S3
- Real production IAM designs
- Interview traps (very common)
📦 WHAT WILL COME LATER (PROMISE)
✔ Hands-on full AWS architecture build
✔ Whiteboard system-design drills
✔ Printable 1–2 page AWS cheat sheet
✔ Resume-ready project bullets
✅ NEXT STEP (VERY IMPORTANT)
Reply with one word:
DAY 2
I’ll immediately start Day 2: IAM (Master Level, Zero Confusion Forever) 🚀