Why Uncodemy Is a Top Choice for Cloud Computing Training

UNCODEMY CLOUD CURRICULUM — MODULE MAP:

Module 1 — Cloud foundations
• AWS accounts, IAM, billing, regions
• VPC, subnets, route tables, NAT,
  security groups, flow logs
• EC2, ASG, ALB, S3, RDS

Module 2 — Containers & Kubernetes
• Docker, ECR, ECS vs. EKS
• EKS: node groups, IRSA, Helm,
  Karpenter, cluster autoscaler
• Pod disruption budgets, resource
  requests/limits, HPA

Module 3 — Infrastructure as Code
• Terraform: providers, state, modules,
  remote backend with S3 + DynamoDB
• Drift detection, workspaces, versioned
  modules
• Terraform vs. Pulumi trade-offs

Module 4 — CI/CD & reliability
• GitHub Actions: lint, test, build,
  deploy
• Canary deploys, feature flags,
  auto-rollback
• SLOs, SLIs, error budgets, MTTR

Module 5 — Cost & security
• Tagging, budgets, Savings Plans,
  right-sizing
• IAM least-privilege, SCPs, GuardDuty,
  Security Hub
• VPC flow logs, CloudTrail, encryption

Module 6 — Portfolio & interviews
• 8 live projects
• Resume rebuild with metrics
• 1:1 mock interviews
• System design for cloud roles

WHAT YOU BUILD — LIVE PROJECTS:

Project 1 — Three-tier VPC
• Public + private subnets across 2 AZs
• ALB → ECS → RDS with Multi-AZ
• Flow logs to S3, tagging enforced

Project 2 — EKS platform
• EKS cluster with IRSA, Karpenter,
  Helm, and cluster autoscaler
• 240-pod load test, pod limit fix

Project 3 — Terraform modules
• Reusable modules for VPC, EKS, RDS
• Remote state with S3 + DynamoDB
• Drift detection job in CI

Project 4 — CI/CD pipeline
• GitHub Actions: lint, test, build,
  deploy
• Canary at 5% with auto-rollback
• Deploy time target: under 8 minutes

Project 5 — Cost optimization
• Cost Explorer + tagging audit
• Savings Plan analysis
• Right-sizing report with savings

Project 6 — Security hardening
• IAM least-privilege review
• GuardDuty + Security Hub setup
• VPC flow log analysis

Project 7 — Observability
• Prometheus + Grafana dashboards
• Alerts on SLO burn rate
• Incident runbook

Project 8 — Capstone
• End-to-end platform: VPC, EKS,
  Terraform, CI/CD, cost, security
• Deployed, documented, demoed

What the portfolio looks like:
✅ 8 projects with architecture diagrams
✅ Real numbers: 240 pods, 5% canary,
  8-min deploys, $ saved
✅ Real incidents: what broke, what you
  changed
✅ Interview-ready stories, not tutorial
  screenshots

LIVE SESSION — WHAT IT LOOKS LIKE:

Session: "Design and build a three-tier
VPC with EKS and RDS."

Format: 2-hour live session, twice a week

What happens:
1. Mentor walks through the design on
   a whiteboard: subnets, NAT, ALB, EKS,
   RDS, security groups.
2. You build it in your own AWS account,
   with a $25 budget guardrail.
3. You hit a problem — usually the NAT
   gateway route table or the EKS node
   IAM role.
4. Mentor debugs with you, not for you:
   "What does the route table say? What
   does the node's IAM role allow?"
5. You fix it, document it, and push
   the Terraform to your repo.
6. Mentor reviews the PR: architecture,
   cost, security, naming.

What you leave with:
✅ A working VPC + EKS + RDS stack
✅ Terraform code in your repo
✅ A mentor-reviewed PR
✅ A story: "I hit this, I fixed it this way"
✅ A cost estimate and a security review

INCIDENT DRILL — WHAT IT LOOKS LIKE:

Drill: "The API is returning 502s. Find it."

Setup (mentor injects):
• The EKS node group is at max size
• The cluster autoscaler can't add nodes
• New pods stay Pending
• The ALB returns 502s because no healthy
  targets

What you do:
1. Check the ALB target group: 0 healthy
   targets.
2. Check the pods: Pending, not Running.
3. Check the nodes: at max size.
4. Check the autoscaler logs: "max size
   reached."
5. Fix: raise max size, cordon and drain
   the overloaded node.
6. Verify: pods schedule, targets become
   healthy, 502s stop.
7. Write the postmortem: symptom, root
   cause, fix, prevention.

What you learn:
✅ Read the actual signals: targets,
  pods, nodes, autoscaler
✅ Fix under pressure, not just in theory
✅ Write a postmortem with a timeline
✅ Say "here's what I changed" in an
  interview, with numbers

Mentor review after:
• "You checked the ALB first — good.
  Next time check the pods in parallel."
• "Your postmortem missed the timeline.
  Add timestamps."
• "Your prevention step should be an
  alert, not a note in a runbook."

PORTFOLIO — WHAT LEARNERS LEAVE WITH:

Project 1: Three-tier VPC
• Architecture diagram (VPC, subnets,
  ALB, ECS, RDS)
• Terraform code, mentor-reviewed
• Cost estimate: $340/month
• Incident write-up: NAT route table
  misconfiguration, fixed in 12 minutes

Project 2: EKS platform
• 240 pods across 6 nodes
• IRSA, Karpenter, Helm
• Incident: pod limit at max node group
  size, fixed with Karpenter provisioner
• MTTR: 22 minutes → 5 minutes

Project 3: CI/CD pipeline
• GitHub Actions: lint, test, build,
  deploy
• Canary at 5% with auto-rollback
• Deploy time: 22 minutes → 6 minutes
• Flake rate: 18% → 3%

Project 4: Cost optimization
• Cost Explorer audit across 3 accounts
• Savings Plan analysis
• Right-sizing report: $4.1K/month saved

Project 5: Security hardening
• IAM least-privilege review: 12 roles
  tightened
• GuardDuty + Security Hub enabled
• Findings: 41 → 6

Project 6: Observability
• Prometheus + Grafana dashboards
• SLO burn-rate alerts
• Runbook for 6 services

Project 7: Capstone
• End-to-end platform: VPC, EKS,
  Terraform, CI/CD, cost, security
• Deployed, documented, demoed
• Architecture diagram + runbook

Project 8: Interview deck
• 6 stories with numbers
• Trade-offs, incidents, what changed
• System design whiteboard practice

What interviewers see:
✅ 8 projects, not 1 tutorial
✅ Numbers: pods, MTTR, cost, deploys
✅ Incidents: what broke, what changed
✅ Trade-offs: EKS vs. ECS, Terraform
  vs. Pulumi, canary vs. blue/green

PLACEMENT SUPPORT — WHAT IT INCLUDES:

Before interviews:
☐ Resume rebuild with metrics
  (8 bullets, 8 numbers, 8 outcomes)
☐ LinkedIn profile review
☐ Portfolio review: architecture,
  code, incident write-ups
☐ 3 mock interviews:
  • System design (VPC, EKS, cost)
  • Incident response (debug a broken
    cluster)
  • Behavioral (STAR with numbers)

During interviews:
☐ Interview scheduling with 14+ hiring
  partners
☐ Prep notes per company: what they
  run, what they test
☐ Same-day debrief: what went well,
  what to fix

After interviews:
☐ Feedback loop: if you're rejected,
  we review the transcript and rebuild
  the answer
☐ Resume iteration until callbacks
  improve
☐ Placement support continues until
  you're hired

What learners report:
✅ Callback rate improves after the
  resume rebuild
✅ Mock interviews reduce interview
  anxiety
✅ The portfolio gets "tell me more"
  instead of "let's move on"
✅ The incident stories are the ones
  interviewers ask about

Cloud Course Evaluation Checklist:

CURRICULUM:
☐ VPC, IAM, cost before advanced topics
☐ Kubernetes AND Terraform
☐ Security and CI/CD as first-class
☐ Real incidents, not just happy paths
☐ System design for cloud interviews

PRACTICE:
☐ Real AWS accounts (not just sandboxes)
☐ Budget guardrails so you don't get
  a surprise bill
☐ Mentor reviews of your code and
  architecture
☐ Incident drills with mentor injection
☐ Portfolio projects with numbers

MENTORSHIP:
☐ Trainers who've run cloud in production
☐ 1:1 time, not just group Q&A
☐ Resume review, not just a template
☐ Mock interviews with feedback

OUTCOMES:
☐ Portfolio with 6+ projects
☐ Resume rebuild with metrics
☐ 3+ mock interviews
☐ Placement support with named partners
☐ Support continues until placement

RED FLAGS:
❌ "100% placement guarantee"
❌ No real cloud accounts
❌ Only certification dumps
❌ No mentor review
❌ No portfolio, only slides
❌ No named hiring partners

QUESTIONS TO ASK ANY CLOUD COURSE:

Before you pay, ask:

1. "Will I use my own AWS account?"
   → Yes is the right answer. A sandbox
     is not the same as your own account
     with a budget.

2. "Is there a budget guardrail?"
   → Yes is the right answer. A course
     that doesn't protect you from a
     surprise bill isn't production-grade.

3. "Who reviews my code?"
   → A named mentor with production
     experience is the right answer.
     "The community" is not.

4. "How many projects will I finish?"
   → 6+ is the right answer. 1 tutorial
     is not a portfolio.

5. "Do you do incident drills?"
   → Yes is the right answer. Happy-path
     builds don't prepare you for
     interviews or on-call.

6. "Who are the hiring partners?"
   → Named companies are the right answer.
     "Many companies" is not.

7. "What happens if I'm not placed?"
   → Support continues, or refund policy.
     "100% placement" is a red flag.

8. "Can I talk to a past learner?"
   → Yes is the right answer. If they
     can't connect you, walk away.

What to look for in the answers:
✅ Specific numbers: projects, partners,
  hours, mock interviews
✅ Named mentors with production roles
✅ A real portfolio you can inspect
✅ A refund or continuation policy that
  is written down