This is the deep-dive track for people who already know the basics and want mastery. At Computer Education And Cybernetics (CEC), you engineer a SIEM pipeline, attack and defend an Active Directory domain, run chained web pentests, write your own Python tooling and automate incident response — attacking and defending the same lab enterprise. If networks, Linux and scripting are not yet comfortable, counseling will point you to the foundation first.
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+91 75740 10176 · info@cecyours.org
This track is for you if
Advanced work is not more tools; it is a change of role. You stop operating other people's tools and start designing defences, building your own, and measuring how well they work.
An advanced cyber security course goes beyond using security tools to engineering defences: designing segmented, defence-in-depth architecture, building a SIEM pipeline and writing correlation rules, tracing and defending Active Directory attack paths, running chained web application penetration tests, and writing custom scripts to confirm findings and automate response. Computer Education And Cybernetics (CEC) teaches it assuming networking, Linux and scripting foundations are already in place.
A beginner runs a scanner. At this level you decide where controls sit, what to log, and which sequence of events should raise an alert — and you can defend those choices.
When no ready tool fits, you write a focused Python script to enumerate, parse or confirm a finding, with output clean enough to drop into a report.
Every detection rule comes with a false-positive rate; every test comes with evidence and a retest. You can say how good your work is, not just that you did it.
A readiness task to try first
On a lab machine, write a short Python script that reads an authentication log and prints every source IP with more than ten failed logins. If that is approachable, this track fits. If it is not yet, the foundation course is your starting point — and counseling will say so honestly.
An honest limit
This track makes you a strong junior-to-mid engineer who can design and build. Leading enterprise security or original research still comes from years on live systems after the course — the labs get you ready to grow into that quickly.
Eight domains, each taught by building and breaking real systems in the lab. Every one ends with an artefact you keep for your portfolio.
Domain 1
Domain 2
Domain 3
Domain 4
Domain 5
Domain 6
Domain 7
Domain 8
These domains sit within our Cyber Security & Ethical Hacking with AI course; counseling places you at the advanced level based on your readiness check.
This is one SIEM engineering drill. The attack is invisible in any single log and clear once you correlate three of them.
On the lab SIEM, three separate log sources record, over eight minutes: dozens of failed logins for one account, one successful login for it, and that account being added to a privileged group. Seen alone, each is low priority.
A rule on failed logins alone fires on every mistyped password. A rule on group changes alone fires on normal administration. Each in isolation is either noise or invisible — the attack lives in the sequence.
You write one rule that links the three: many failed logins, then a success from the same source, then a privilege change for that account, inside a short window. Only the sequence triggers it, so it stays quiet during normal use.
The rule attaches context automatically: the account's owner, whether the source IP is known, and whether this is a maintenance window. With that, an analyst can judge severity in seconds instead of pivoting across three tools.
An automated workflow enriches the alert and opens a ticket with the timeline. It does not disable the account on its own — that step waits for a human, because a wrong auto-disable can take down a service.
You replay a week of normal lab logs, find two false triggers from a backup job, and add a narrow exception. You record the rule, its logic, the exception and the measured false-positive rate — the artefacts an employer wants to see.
Three shifts decide where advanced effort pays off. The track is built around them, and in every AI drill you prove where the model is wrong before you trust it.
As attacks vary their surface, value moves to engineers who can correlate events across sources rather than match a single fingerprint.
More intrusions start with a stolen session or a misconfigured cloud permission, raising demand for Active Directory, identity and cloud security depth.
AI drafts rules, scripts and summaries. The advanced role is to verify them against raw data, catch what they miss, and own the risky decisions.
Where AI still fails at this level
The skill that stays valuable either way
Engineering judgement proven with evidence: designing a control, measuring how it behaves on real data, and owning the risky decision. AI drafts faster than ever; deciding what to trust and deploy is the expert's job.
Advanced cyber security work is shifting from single-signature detection toward behaviour and cross-source correlation, with identity and cloud becoming the main targets and AI drafting rules, scripts and summaries that experts must verify. The durable skill is engineering judgement backed by evidence, which CEC trains through build-and-break labs in Ahmedabad.
About 80% of our training is practical, and our 25+ full-time corporate trainers review your designs and detections, not just your pass marks. This is how the advanced track runs.
We confirm you already have networking, Linux and scripting basics. If a gap shows up, counseling points you to the foundation first so the advanced track is not wasted on you.
An isolated environment with a Windows domain, servers, a SIEM stack and vulnerable practice apps — so the drills match what you will defend at work.
You exploit a path, then close it and prove the fix. Seeing both sides is what separates an operator from an engineer.
Correlation rules, a hardening and detection write-up for an AD path, a chained web pentest report and your Python scripts — all redacted and kept on GitHub.
You draft rules and scripts with AI, then prove where they fail on lab data. Verification, not generation, is the graded skill.
Mentors review your design choices and detections the way a senior engineer would — asking why, not just whether it works.
Nayan Nathani
Software Faculty · CEC Maninagar · 2+ years
Data Analytics, Cyber Security
Nishant Yadav
Hardware Networking · CEC Nikol · 3+ years
Cyber Security, Server Administration
At Computer Education And Cybernetics (CEC) in Ahmedabad, the advanced cyber security track starts with a readiness check for networking, Linux and scripting, then runs build-and-break drills in a lab modelled on a small enterprise: SIEM engineering, Active Directory attack and defence, chained web penetration testing and custom Python tooling. Learners verify every AI-drafted rule or script against raw data and leave with a portfolio of correlation rules, write-ups and reports.
New to security? Start with the cyber security course in Ahmedabad and move up to this track when you are ready.
Advanced roles are won on what you can design and defend. Your portfolio is the centre of our placement work with you.
How we stay with you
More detail on placement support at CEC.
This is the advanced end of the path. These pages cover the foundation it builds on and the focused directions beside it.
Counseling and advanced labs are available at Maninagar, Nikol and Vatva, or by call, WhatsApp or email from anywhere. Visiting is optional.
~2 minutes from Maninagar Railway Station
2nd floor, Gopal Tower, Computer Education And Cybernetics, near Maninagar Railway Station Road, Maninagar, Ahmedabad, Gujarat 380008+91 75740 10176Near / opposite New DMart, Nikol (Satyam Plaza)
S -25/26, D-mart, Satyam Plaza, Raspan Cross Rd, opp. Suketu Residency, near Nikol, Ankur Chokadi, New India Colony, Nikol, Ahmedabad, Gujarat 382350+91 91049 37871Near Vatva Lake Garden; opposite Kashiben Hospital
1st Floor, Computer Education And Cybernetics, Opposite Kashiben Hospital Beside Khodiayar Vav, Near Vatva Lake Garden, Vinzol Crossing Rd, Deriya Para, Vatva, Ahmedabad, Gujarat 382440+91 91571 90839If yours is not here, bring it to counseling — the readiness check is the right place to see whether this track fits you now.
It is an advanced track for learners who already have the basics: experienced programmers, BCA and IT students who can script, and junior system or network administrators. It assumes you can read a packet capture, work on Linux and write small scripts. Complete beginners should start with the main cyber security course first.
Perimeter defence architecture, SIEM engineering with ELK and Wazuh, threat intelligence, Active Directory attack and defence, advanced web application penetration testing, custom Python exploitation scripts, and automated incident response — with AI used across the workflow and always verified against raw data.
You need the foundations rather than years of experience. A readiness check in counseling confirms you have networking, Linux and scripting basics. If something is missing, we point you to the foundation course first so the advanced drills are useful to you.
SIEM (Security Information and Event Management) means collecting logs from many systems into one place, parsing them into fields and writing rules that correlate events into alerts. ELK (Elasticsearch, Logstash, Kibana) and Wazuh are widely used open-source stacks, so you can build a real pipeline in the lab rather than only reading about one.
Many attacks are invisible in any one log but obvious in sequence — for example, many failed logins, then a success, then a privilege change for that account within minutes. A correlation rule links those events across sources and fires only on the pattern, so it detects the attack while staying quiet during normal use.
Most organisations run Windows domains managed by Active Directory, and many real intrusions escalate privileges through it. You study how domains, accounts and tickets work, trace a privilege-escalation path in an isolated lab domain, then apply and verify the hardening and monitoring that detect or block it.
Yes, within the lab. You write Python scripts only against machines and practice apps on our isolated lab network, with scope and permission fixed first. The aim is to confirm a specific weakness safely and produce clear evidence — not to attack any real system, which would be illegal.
AI drafts correlation rules, explains Active Directory attack paths and summarises findings. You then prove on lab data where each draft over- or under-fires and correct it. The graded skill is verification: catching where AI is wrong and owning the decisions it cannot make.
Detection is moving from single signatures to behaviour and correlation, identity and cloud are becoming the main battleground, and AI handles first drafts while experts verify them and own risky decisions. The course builds exactly these durable, judgement-heavy skills.
Counseling and the advanced labs are available at all three of our Ahmedabad centres — Maninagar, Nikol and Vatva. Visiting is optional; you can start by call, WhatsApp or email on +91 75740 10176 or info@cecyours.org, and counseling confirms the batch and centre that suit you.
It builds the portfolio such roles ask for: correlation rules with measured false-positive rates, an Active Directory detection write-up, a chained web pentest report and your own Python tooling. We stay with you until you get a job, based on your performance in training, projects, and interviews.
Tell us what you can already do. We will run a readiness check and plan the advanced drills — SIEM, Active Directory, web pentesting and your own tooling — that take you to mastery.