Uncodemy DevOps Course — Batch Timings & Fees 2026

Batch comparison — same content, different schedule:

                     WEEKDAY     WEEKEND     FAST TRACK
Class days           Mon-Fri     Sat-Sun     Mon-Sat
Class hours          1.5 hrs     3 hrs       4 hrs
Session duration     4 mo        6 mo        8 wk
Total live hours     ~120        ~140        ~180
Doubts sessions      Weekly      Weekly      Daily
Lab access           Yes         Yes         Yes
Projects             3           3           3
Mock interviews      Yes         Yes         Yes
Recordings           Permanent   Permanent   Permanent
Fee                  ₹24,500     ₹24,500     ₹24,500

Note: Fast track compresses the same
content into 8 weeks by adding more
hours per day. It's not "faster learning",
it's "more hours per week".

If you work full-time:               Weekend
If you're a student:                 Weekday
If you're switching careers:         Fast Track
If you can't make evening slots:     Morning add-on

How to actually choose a batch:

1. START WITH YOUR REAL SCHEDULE
   Write down when you're genuinely free,
   not when you "could be". The batch you can
   actually attend is the only one that works.

2. CONSIDER THE COMMUTE
   In-person batches: 30-60 min each way.
   That's 2 hours/week extra you need to find.

3. CHECK THE RECORDING POLICY
   If you'll miss some days, ensure recordings
   are permanent — ours are.

4. PICK THE PACE YOU CAN SUSTAIN
   Fast track is great if you can dedicate
   4-5 hours/day. If not, it becomes a slog
   where you fall behind every week.

5. LOOK AT THE BATCH SIZE
   Small batches (under 25) mean you can
   actually ask questions.

What NOT to do:
✗ Join weekend and skip classes
✗ Pick fast track and then pause
✗ Assume recordings make attendance optional
   (they don't — doubts and labs are live)

# devops_fee_calculator.py
# What your real total cost looks like

def real_total(
    course_fee=24500,
    aws_exam=16000,          # AWS Solutions Architect Associate
    cka_exam=38000,          # CKA (Certified Kubernetes Admin)
    tryhackme=1200*4,        # Optional, per month
    transport=2000*4,        # If attending in person, monthly
):
    return {
        "course_fee": course_fee,
        "exam_vouchers": aws_exam + cka_exam,   # Optional
        "optional_extras": tryhackme + transport,
        "min_total": course_fee,
        "typical_total": course_fee + aws_exam,
        "full_total": course_fee + aws_exam + cka_exam,
    }

if __name__ == "__main__":
    print(real_total())

# Output:
# {'course_fee': 24500,
#  'exam_vouchers': 54000,
#  'optional_extras': 12800,
#  'min_total': 24500,
#  'typical_total': 40500,
#  'full_total': 78500}

# Reality:
# - You do NOT need both certifications to get
#   a job. AWS alone is fine for most roles.
# - CKA is valuable if you want Kubernetes-heavy
#   roles.
# - The course fee includes the training, not
#   the exam vouchers. This is standard across
#   all institutes in Noida.

What's NOT included in the ₹24,500:

✗ AWS / CKA / Terraform exam vouchers
  → ₹15,000-₹40,000 each, paid to the
    certification body directly
✗ Your personal laptop
  → Any modern laptop with 8GB RAM works
✗ Optional lab tools (TryHackMe, etc.)
  → We provide the course lab; external
    practice is optional
✗ Transport / commute
  → For in-person batches, factor ₹1k-2k/month
✗ Placement fee
  → There is none. We don't charge a
    percentage of salary.

What IS included (that other courses charge for):
✓ Kubernetes lab environment
✓ AWS sandbox account for the course duration
✓ Recorded sessions permanently
✓ Mock interviews with feedback
✓ Resume review after completion
✓ Access to alumni Slack for questions

Ask any institute: "What's NOT in the fee?"
Their answer tells you how honest they are.

A capstone you'll actually build:

STACK
Frontend (React) → Nginx
Backend (Node or Python) → API
Database (Postgres) → RDS
Cache → Redis

INFRASTRUCTURE
- Terraform provisions VPC, subnets, RDS
- Docker builds the images
- GitHub Actions builds and pushes
- ArgoCD or Helm deploys to Kubernetes
- Prometheus scrapes metrics
- Grafana dashboards
- Alerts to Slack

DELIVERY
- Merge to main → deploy to staging
- Manual approval → deploy to prod
- Rollback = previous image
- Runbooks in the repo

INTERVIEW READINESS
- You can explain any layer
- You can debug a failure
- You can defend a trade-off
- You have a public GitHub repo
- You have a live URL

This is the portfolio piece that gets
you hired. Not the certificate.

Weekly rhythm (weekday batch):

MON 7:00-8:30 PM
  New concept + live demo

TUE 7:00-8:30 PM
  Hands-on lab on the concept

WED 7:00-8:30 PM
  Doubt session + deeper dive

THU 7:00-8:30 PM
  New concept + live demo

FRI 7:00-8:30 PM
  Weekly review + project work

SAT (optional)
  1:1 or small group help
  Catch up on missed content

SUN
  Rest, or project work

What the trainer expects from you:
✓ 1 hour of practice daily outside class
✓ Bring questions to Wed doubt sessions
✓ Commit code to GitHub even on bad days
✓ Finish projects, not just exercises

What students who succeed look like:
- They practice daily
- They ask early
- They build something small each week
- They don't try to learn everything at once

Batch selection sheet:

My schedule:
Mon-Fri free after 6 PM:         Y / N
Sat-Sun free 10 AM-1 PM:         Y / N
Can commit 4 hours/day for 8 wk: Y / N
Commute time each way:           ___ min

Chosen batch: __________________
Why this one: __________________
Alternate: ______________________
Start date: ____________________

Questions to ask before confirming:
☐ Can I switch batches if needed? (Yes)
☐ Is there a batch-repeat policy? (Yes, free)
☐ Are recordings included? (Yes, permanent)
☐ What if I miss a live session? (Recording + doubt session)
☐ Is there a demo class before paying? (Yes)
☐ What's the refund policy? (See section 05)

Payment plan tracker:

Fee:            ₹24,500
Payment option: Full / EMI

If FULL:
  Paid on:        ________
  Receipt #:      ________
  Savings vs EMI: ₹________

If EMI (3 months, 0% interest):
  Down payment:   ₹________ (on enrolment)
  Month 1:        ₹________ (date: ________)
  Month 2:        ₹________ (date: ________)
  Month 3:        ₹________ (date: ________)
  Total paid:     ₹________

If EMI (6 months, with interest):
  Down payment:   ₹________
  Monthly EMI:    ₹________
  Total interest: ₹________
  Total paid:     ₹________

What to verify before paying:
☐ GST included in the quote (18% for training)
☐ Written receipt for every payment
☐ Refund policy in writing
☐ Batch details in writing (dates, timings)
☐ Trainer's name in writing

Before you enrol — final checklist:

FACTS TO CONFIRM IN WRITING
☐ Batch dates and timings
☐ Trainer's full name
☐ Fee total, including GST
☐ What's included (labs, projects, mocks)
☐ What's NOT included (exam vouchers)
☐ Refund policy, in detail
☐ Batch switch policy
☐ Batch repeat policy

DEMO CLASS
☐ Attended? Yes / No
☐ Trainer's name matched?
☐ Questions answered?
☐ Gut feeling: ___ / 5

PAYMENT
☐ Full or EMI decided
☐ GST clarified
☐ Receipt method confirmed
☐ First payment made

ONBOARDING
☐ Laptop ready (8GB RAM min)
☐ AWS account created (free tier)
☐ GitHub account ready
☐ Docker installed locally
☐ Joined the batch group

If any of these are unclear before
you pay, ask. A good institute answers
every one without hesitation.