Uncodemy Admission Process for the DevOps Course Explained

DevOps · Joining the Course

Uncodemy Admission Process for the DevOps Course Explained

SECTION 01Step 1–2: counselling and the demo class

Admission usually begins with a counselling conversation — by phone, video call or at a centre in Noida Sector 1 or Laxmi Nagar, Delhi. A counsellor asks about your education, current job, programming or Linux experience and what you want from DevOps: a first job, a switch from testing, support or development, or a promotion in your current role. Their job is to tell you whether the DevOps course suits you, or whether a foundation in Linux or another course would help first.

The next step is normally a free demo class. This is your best chance to judge the course honestly. Watch how the trainer explains a concept such as a CI pipeline or a Docker image, whether learners type commands themselves, and how doubts are handled. Treat the demo as an evaluation, not a formality: if something is unclear, ask the counsellor for a second session or to speak with the trainer.

# Quick self-check before counselling (Linux, macOS or WSL)
# You do not need to know these yet - just note how comfortable you are.

pwd                     # where am I?
ls -la                  # list files, including hidden ones
mkdir devops-practice && cd devops-practice
echo "hello" > note.txt
cat note.txt
chmod 644 note.txt      # change file permissions
git --version           # is Git installed?

# Comfortable with all of these? Tell the counsellor.
# Unfamiliar? Ask whether Linux basics are covered first.

MY BACKGROUND NOTE (share in counselling)

Education          : ________________________
Current role       : ________________________
Experience (years) : ____
I have used        : [ ] Linux  [ ] Git  [ ] Python/Bash
                     [ ] Docker [ ] Any cloud (AWS/Azure/GCP)
My DevOps goal     : [ ] First job  [ ] Switch roles
                     [ ] Upskill in current job
Available time     : ____ hours per week
Preferred mode     : Classroom / Live online / Mixed

SECTION 02Step 3–4: choosing a batch and discussing fees

Once you are confident the course fits, the next decision is the batch. Uncodemy offers classroom and live online learning, with weekday and weekend batches. Choose the batch you can attend consistently for the full duration, not just the one starting soonest. Working professionals often prefer weekend or evening slots; students may prefer weekday batches that leave weekends for project work. Ask about the batch start date, class length and what happens if you miss sessions — batch repeat is available, but confirm how it works for your batch.

Then comes the fee and EMI discussion. We do not list amounts here because fees can change; ask the counsellor for the current total fee, what it includes and the payment options. If an EMI or instalment plan is offered, ask about the number of instalments, any processing charges or interest from the finance partner, and what happens if you pause the course. Get the final terms in writing and take time to decide.

FEE & EMI QUESTIONS (get answers in writing)

[ ] Total course fee: ______________
[ ] Includes: classes / labs / projects / career support
[ ] Not included (e.g. certification exam fees): ________
[ ] Payment options: full / instalments / EMI
[ ] EMI provider: ______________
[ ] Number of instalments: ____
[ ] Interest or processing charges: ______________
[ ] Refund or batch-transfer policy: ______________
[ ] Any offer deadline - and is it genuine?

# Standard EMI formula to check any loan-based EMI offer
# EMI = P * r * (1 + r)**n / ((1 + r)**n - 1)
# P = principal, r = monthly interest rate, n = months

def emi(principal, annual_rate_pct, months):
    r = annual_rate_pct / 12 / 100
    if r == 0:
        return principal / months          # no-cost EMI case
    f = (1 + r) ** months
    return principal * r * f / (f - 1)

# Fill in the numbers the counsellor or lender gives you
P, rate, n = 10000, 0, 6                 # placeholder values only
m = emi(P, rate, n)
print(f"Monthly EMI: {m:.2f}")
print(f"Total paid : {m * n:.2f}  (extra: {m * n - P:.2f})")

SECTION 03Step 5–6: enrolment and onboarding

Enrolment is the formal step where your seat in a batch is confirmed. Typically you share basic details, may be asked for an ID proof, complete the agreed payment or first instalment, and receive confirmation of your batch, start date and timings. Keep a copy of every receipt and of the written terms. If anything in the confirmation differs from what you were told, raise it immediately, before classes begin.

Onboarding prepares you for the first class. Expect to receive joining details for classroom or online sessions, access to any learning materials, and instructions for setting up your laptop. For DevOps that usually means Git, a code editor, Docker or a Linux environment, and a cloud account for labs. Doing this setup before day one means your first class is about learning, not installing software.

# Ubuntu or WSL (Windows Subsystem for Linux)
sudo apt update
sudo apt install -y git curl unzip

# Docker Engine using Docker's convenience script
# (for learning machines; see docs.docker.com for other options)
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
sudo usermod -aG docker $USER   # log out and back in afterwards

# AWS CLI v2
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o awscliv2.zip
unzip awscliv2.zip && sudo ./aws/install

# Git identity
git config --global user.name  "Your Name"
git config --global user.email "you@example.com"

# Run these and note the output before your first class
git --version
docker --version
docker run --rm hello-world     # pulls and runs a test container
aws --version
code --version                  # if you use VS Code

# All commands print versions without errors? You are ready.
# On Windows without WSL, Docker Desktop provides Docker,
# and installers exist for Git and AWS CLI.

SECTION 04Admission templates: questions, decision note, first-week plan

Use these during and after the admission process so every decision is written down and nothing important is missed.

QUESTIONS FOR THE COUNSELLOR

1. Which DevOps tools does the current syllabus cover?
   (Linux, Git, CI/CD, Docker, Kubernetes, Terraform,
    Ansible, monitoring, cloud?)
2. How much of each class is hands-on?
3. Who is the trainer for my batch?
4. Which batches are available - days, times, mode?
5. How does batch repeat work if I miss classes?
6. What projects will I complete?
7. What placement support is included?
   (resume rebuild, portfolio review, mock interviews,
    interview scheduling)
8. What are the current fee and payment options?

MY DECISION NOTE

Date of counselling : ________
Date of demo        : ________
Trainer at demo     : ________
What I liked        : _________________________
What worried me     : _________________________
Batch chosen        : ________  Mode: __________
Start date          : ________
Fee terms received in writing?  Yes / No
Decision            : Enrol / Wait / Compare more
Reason              : _________________________

FIRST-WEEK PLAN AFTER ENROLMENT

Before day 1
[ ] Laptop setup verified (git, docker, aws --version)
[ ] Calendar blocked for all class slots
[ ] GitHub account created
During week 1
[ ] Attend every class; repeat each lab within 24 hrs
[ ] Create repo 'devops-learning' with a notes folder
[ ] Write a short README of what you learned
End of week 1
[ ] List doubts and bring them to the next class

SECTION 05Tips for a smooth DevOps admission

These habits make the admission process faster for you and help you start the course well:

• Be honest about your level — accurate background details lead to better advice on batch and preparation.
• Attend the demo at your real slot — an evening demo tells you how a weekday evening batch will feel.
• Ask for everything in writing — syllabus, batch details and fee terms should never be only verbal.
• Never pay under pressure — take a day to compare if you need it; a fair offer will wait.
• Set up tools early — a working laptop on day one lets you focus on learning, not installing.

SECTION 06Interview Q&A — DevOps foundations

SECTION 07Test yourself — DevOps admission steps

SECTION 08Frequently asked questions

SECTION 09Related reads