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CybersecurityAI-Powered

AI-Powered Cybersecurity Course in Amritsar with Live Projects & Placement Support

AI-Powered Cybersecurity Course course in Amritsar
This is a practical, lab-first programme built around the tools and AI workflows currently used in security operations. You work on live projects, get your deliverables reviewed by mentors who still do client work, and train in small batches at our Amritsar campus. The course is structured as a ladder — you start with networking and Linux fundamentals and progress to AI-driven threat detection, incident response, and a full capstone project. Placement support is included.
3 / 6 / 9 MonthsIntermediateHybrid
  • 3 / 6 / 9 Months

    Duration

  • Weekday / Weekend / Online

    Mode

  • 12th pass or equivalent

    Eligibility

  • ISO 9001:2015 certified institute

    Certification

Admissions open

AI-Powered Cybersecurity Course · 3 / 6 / 9 Months

Batch timings

  • Morning
  • Evening
  • Weekend
  • Live online
About the programme

Course overview

Course overview

This is a 3-to-9 month AI-Powered Cybersecurity Course in Amritsar that takes you from networking fundamentals to SOC analysis, ethical hacking, and AI-assisted threat detection, with a certificate and placement support at the end.

The learning arc is progressive: you start with foundations (networking, Linux, Python, Git), move into applied security work (vulnerability assessment, web security, ethical hacking), and finish with a capstone that ties everything together — either a SOC incident response simulation or a full penetration test report.

You finish with a documented portfolio: a GitHub repository of scripts and reports, a capstone project, and a resume built around the deliverables you actually produced. The programme is designed so that what you show an employer is the same work you did in the lab.

What Cybersecurity Actually Is (And Why It's Changing)

Cybersecurity is no longer just about firewalls and antivirus software. It's the practice of protecting networks, systems, and data from digital attacks — and in 2025, it's a field being reshaped by AI on both sides. Attackers use AI to automate phishing and find vulnerabilities faster; defenders use AI to detect anomalies, triage alerts, and respond to incidents in seconds rather than hours. This programme teaches you both sides: the offensive techniques (ethical hacking, penetration testing) and the defensive AI workflows (SOC automation, AI-driven threat detection) that employers now expect.

Why This Matters in Amritsar Right Now

Amritsar's IT sector is growing, and with it comes demand for security professionals. Banks, hospitals, logistics companies, and government contractors in Punjab all handle sensitive data — and they need people who can secure it. The catch: most entry-level candidates have theoretical knowledge from a generic course but zero hands-on experience with the actual tools. techcadd's programme is built to close that gap. Every module ends with a deliverable — a lab report, a working script, a penetration test — that you can show an employer. You're not just learning what a SIEM is; you're building one.

How techcadd's Approach Is Different

Most courses teach you the syllabus and send you home. This one is structured as a ladder with three exit points:

Cybersecurity Practitioner (3 months): Foundations. Networking, Linux, Python, ethical hacking basics, and an introduction to AI for cybersecurity. You finish with a working home lab and a vulnerability assessment report.

Cybersecurity Professional (6 months): Everything in Practitioner, plus advanced ethical hacking, cloud security, digital forensics, malware analysis, and SOC operations. You build a full incident response playbook and a DFIR investigation report.

Cybersecurity Expert (9 months): Everything in Professional, plus two capstone projects, interview preparation, resume building, and a GitHub portfolio review. You graduate with a portfolio of 10+ hands-on deliverables.

The teaching method is consistent across all modules: understand the concept → build it in a guided lab → apply it to a live project or real-world scenario → get it reviewed by a mentor → ship it as a portfolio piece. Small batches mean your mentor actually reviews your work, not just your attendance.

What You Finish With

By the end of the Expert track, you have a GitHub portfolio with scripts, lab reports, and capstone projects; a documented internship certificate; a resume tailored to SOC and security analyst roles; and interview readiness through mock technical interviews. You also leave with something most courses don't give you: proof of work. A hiring manager can open your GitHub and see exactly what you've built.

Cybersecurity Fundamentals & Networking Linux, Windows & VirtualisationPython & Security AutomationAI Tools for CybersecurityInformation Gathering & Vulnerability AssessmentWeb Security & Ethical HackingSOC Operations & AI-Assisted Threat DetectionCloud Security & DevSecOpsDigital Forensics & Malware AnalysisIncident Response & Capstone Project
Inside the Amritsar lab — a walkthrough of the ai-powered cybersecurity course track.
Duration
3 / 6 / 9 Months
Level
Intermediate
Mode
Hybrid
Batches
Morning, evening & weekend
Module by module

The curriculum, module by module

Module by module curriculum
The syllabus is structured as a ladder, not a menu. Each plan builds on the one before it — the 6-month Professional includes the full 3-month Practitioner foundation, and the 9-month Expert includes both. You progress from fundamentals to applied security work to a capstone project, with a deliverable at every stage.
  1. Module 01 of 33

    Cybersecurity Fundamentals

    The core principles of security and how attacks progress from reconnaissance to impact.

    Topics covered

    • CIA triad
    • cyber attack lifecycle
    • security domains
    • cyber laws & ethics

    Tools in this module

    Kali LinuxUbuntuWindows 10/11,Cisco Packet Tracer
    You finish with

    A reviewed piece of work demonstrating cia triad and cyber attack lifecycle.

  2. Module 02 of 33

    Computer & Operating Systems

    How operating systems manage users, permissions, and processes — the foundation for all security work.

    Topics covered

    • Windows
    • Linux
    • users
    • groups & permissions

    Tools in this module

    Windows 10/11,Cisco Packet TracerWiresharkNmap
    You finish with

    A reviewed piece of work demonstrating windows and linux.

  3. Module 03 of 33

    Networking Fundamentals

    How data moves across networks, and where security controls fit.

    Topics covered

    • OSI/TCP-IP
    • IP addressing
    • subnetting
    • routing
    • DNS
    • DHCP
    • VPN

    Tools in this module

    WiresharkNmapVirtualBoxVMware
    You finish with

    A reviewed piece of work demonstrating osi/tcp-ip and ip addressing.

  4. Module 04 of 33

    Virtualisation & Cyber Lab

    How to build and run a virtual lab for safe security testing.

    Topics covered

    • VMware
    • VirtualBox
    • Kali Linux
    • Windows Server

    Tools in this module

    VirtualBoxVMwareWindows ServerGit
    You finish with

    A reviewed piece of work demonstrating vmware and virtualbox.

  5. Module 05 of 33

    Git & GitHub

    How to manage and share code and reports using Git.

    Topics covered

    • Git branching
    • GitHub workflow
    • version control
    • collaboration

    Tools in this module

    Windows ServerGitGitHubChatGPT
    You finish with

    A reviewed piece of work demonstrating git branching and github workflow.

  6. Module 06 of 33

    AI for Cybersecurity

    How to use AI tools for threat research, log analysis, and report drafting.

    Topics covered

    • ChatGPT
    • Gemini
    • Copilot
    • prompt engineering
    • AI research

    Tools in this module

    GitHubChatGPTGoogle GeminiCopilot
    You finish with

    A reviewed piece of work demonstrating chatgpt and gemini.

  7. Module 07 of 33

    Information Gathering

    How to gather information about a target using open sources.

    Topics covered

    • OSINT
    • Google Dorking
    • WHOIS
    • DNS & subdomain enumeration

    Tools in this module

    Google GeminiCopilotDeepSeekGobuster
    You finish with

    A reviewed piece of work demonstrating osint and google dorking.

  8. Module 08 of 33

    Vulnerability Assessment

    How to scan systems and networks for known weaknesses.

    Topics covered

    • Nmap
    • Wireshark
    • Nikto
    • Gobuster

    Tools in this module

    DeepSeekGobusterOWASP ZAPSQLmap
    You finish with

    A reviewed piece of work demonstrating nmap and wireshark.

  9. Module 09 of 33

    Web Security & Burp Suite

    The most common web vulnerabilities and how to test for them.

    Topics covered

    • OWASP Top 10
    • SQL injection
    • XSS
    • CSRF
    • API & authentication security

    Tools in this module

    OWASP ZAPSQLmapMetasploitWazuh
    You finish with

    A reviewed piece of work demonstrating owasp top 10 and sql injection.

  10. Module 10 of 33

    SOC & AI-Assisted Security

    How a Security Operations Centre monitors, detects, and responds to threats.

    Topics covered

    • SIEM
    • Wazuh
    • Splunk
    • log analysis
    • AI threat detection

    Tools in this module

    MetasploitWazuhKali LinuxUbuntu
    You finish with

    A reviewed piece of work demonstrating siem and wazuh.

  11. Module 11 of 33

    Advanced Ethical Hacking

    How to use exploitation frameworks and password attacks in a controlled lab.

    Topics covered

    • Metasploit
    • Hydra
    • password attacks

    Tools in this module

    Kali LinuxUbuntuWindows 10/11,Cisco Packet Tracer
    You finish with

    A reviewed piece of work demonstrating metasploit and hydra.

  12. Module 12 of 33

    Cloud Security Fundamentals

    How to secure cloud infrastructure, identities, and containers.

    Topics covered

    • AWS
    • Azure
    • IAM
    • Docker & Kubernetes security

    Tools in this module

    Windows 10/11,Cisco Packet TracerWiresharkNmap
    You finish with

    A reviewed piece of work demonstrating aws and azure.

  13. Module 13 of 33

    Python Security Automation

    How to automate repetitive security tasks with Python.

    Topics covered

    • Python
    • scripting
    • log parsing & reporting automation

    Tools in this module

    WiresharkNmapVirtualBoxVMware
    You finish with

    A reviewed piece of work demonstrating python and scripting.

  14. Module 14 of 33

    AI Security Automation

    How to integrate AI APIs into security workflows.

    Topics covered

    • OpenAI API
    • Gemini API
    • AI Security Assistant & Chatbot

    Tools in this module

    VirtualBoxVMwareWindows ServerGit
    You finish with

    A reviewed piece of work demonstrating openai api and gemini api.

  15. Module 15 of 33

    Industry Capstone Project

    How to apply everything you have learned to a realistic security scenario.

    Topics covered

    • Scenario-based Threat Detection & Response

    Tools in this module

    Windows ServerGitGitHubChatGPT
    You finish with

    A reviewed piece of work demonstrating scenario-based threat detection & response.

  16. Module 16 of 33

    Placement Preparation

    How to present your skills and experience to employers.

    Topics covered

    • Resume building
    • interview prep
    • personal branding
    • mock interviews

    Tools in this module

    GitHubChatGPTGoogle GeminiCopilot
    You finish with

    A reviewed piece of work demonstrating resume building and interview prep.

  17. Module 17 of 33

    AI SOC & Threat Detection

    How to use AI and SIEM tools for proactive threat hunting.

    Topics covered

    • Wazuh
    • Splunk
    • MITRE ATT&CK
    • threat hunting

    Tools in this module

    Google GeminiCopilotDeepSeekGobuster
    You finish with

    A reviewed piece of work demonstrating wazuh and splunk.

  18. Module 18 of 33

    Cloud & DevSecOps Security

    How to integrate security into cloud and DevOps pipelines.

    Topics covered

    • AWS
    • Azure
    • Docker
    • Kubernetes
    • CI/CD
    • SAST
    • DAST & secrets

    Tools in this module

    DeepSeekGobusterOWASP ZAPSQLmap
    You finish with

    A reviewed piece of work demonstrating aws and azure.

  19. Module 19 of 33

    Digital Forensics

    How to collect, preserve, and analyse digital evidence.

    Topics covered

    • Evidence collection
    • chain of custody
    • memory & disk analysis

    Tools in this module

    OWASP ZAPSQLmapMetasploitWazuh
    You finish with

    A reviewed piece of work demonstrating evidence collection and chain of custody.

  20. Module 20 of 33

    Malware Analysis & Threat Intelligence

    How to analyse malware and use threat intelligence feeds.

    Topics covered

    • Static & dynamic analysis
    • sandboxing
    • IOC
    • TTP
    • STIX & TAXII

    Tools in this module

    MetasploitWazuhKali LinuxUbuntu
    You finish with

    A reviewed piece of work demonstrating static & dynamic analysis and sandboxing.

  21. Module 21 of 33

    Incident Response & AI in DFIR

    How to respond to and recover from a security incident.

    Topics covered

    • Containment
    • eradication
    • recovery
    • AI-assisted DFIR

    Tools in this module

    Kali LinuxUbuntuWindows 10/11,Cisco Packet Tracer
    You finish with

    A reviewed piece of work demonstrating containment and eradication.

  22. Module 22 of 33

    AI Security Capstone & Deployment

    How to plan, build, and document a full security capstone project.

    Topics covered

    • Architecture
    • documentation
    • GitHub
    • cloud/DevOps deployment & reporting

    Tools in this module

    Windows 10/11,Cisco Packet TracerWiresharkNmap
    You finish with

    A reviewed piece of work demonstrating architecture and documentation.

  23. Module 23 of 33

    Capstone Phase I — Project Planning

    How to plan a capstone project from scope to methodology.

    Topics covered

    • Scoping
    • planning
    • methodology

    Tools in this module

    WiresharkNmapVirtualBoxVMware
    You finish with

    A reviewed piece of work demonstrating scoping and planning.

  24. Module 24 of 33

    Capstone Phase II — Secure Lab Build

    How to build and document a secure lab environment for your capstone.

    Topics covered

    • Lab architecture
    • tool setup
    • documentation

    Tools in this module

    VirtualBoxVMwareWindows ServerGit
    You finish with

    A reviewed piece of work demonstrating lab architecture and tool setup.

  25. Module 25 of 33

    Capstone Phase III — Advanced AI Features

    How to add advanced AI features to your capstone project.

    Topics covered

    • AI model integration
    • automation
    • custom tooling

    Tools in this module

    Windows ServerGitGitHubChatGPT
    You finish with

    A reviewed piece of work demonstrating ai model integration and automation.

  26. Module 26 of 33

    Capstone Phase IV — Execution & Testing

    How to execute and validate your capstone project.

    Topics covered

    • Testing
    • validation
    • iteration

    Tools in this module

    GitHubChatGPTGoogle GeminiCopilot
    You finish with

    A reviewed piece of work demonstrating testing and validation.

  27. Module 27 of 33

    Capstone Phase V — Documentation & Reporting

    How to document and present your capstone professionally.

    Topics covered

    • Technical writing
    • reporting
    • presentation

    Tools in this module

    Google GeminiCopilotDeepSeekGobuster
    You finish with

    A reviewed piece of work demonstrating technical writing and reporting.

  28. Module 28 of 33

    Networking & Linux

    Deeper networking and Linux skills for senior roles.

    Topics covered

    • Advanced networking
    • Linux administration

    Tools in this module

    DeepSeekGobusterOWASP ZAPSQLmap
    You finish with

    A reviewed piece of work demonstrating advanced networking and linux administration.

  29. Module 29 of 33

    SOC & SIEM

    How to run and tune a SOC using SIEM tools.

    Topics covered

    • SOC operations
    • SIEM tuning
    • advanced threat detection

    Tools in this module

    OWASP ZAPSQLmapMetasploitWazuh
    You finish with

    A reviewed piece of work demonstrating soc operations and siem tuning.

  30. Module 30 of 33

    Resume & GitHub Portfolio

    How to present your work to employers effectively.

    Topics covered

    • Portfolio building
    • GitHub optimisation
    • personal branding

    Tools in this module

    MetasploitWazuhKali LinuxUbuntu
    You finish with

    A reviewed piece of work demonstrating portfolio building and github optimisation.

  31. Module 31 of 33

    Aptitude & HR Preparation

    How to prepare for aptitude tests and HR interviews.

    Topics covered

    • Quantitative aptitude
    • logical reasoning
    • HR interview prep

    Tools in this module

    Kali LinuxUbuntuWindows 10/11,Cisco Packet Tracer
    You finish with

    A reviewed piece of work demonstrating quantitative aptitude and logical reasoning.

  32. Module 32 of 33

    Technical Mock Interviews

    How to handle technical interviews confidently.

    Topics covered

    • Technical interview questions
    • whiteboarding
    • scenario-based rounds

    Tools in this module

    Windows 10/11,Cisco Packet TracerWiresharkNmap
    You finish with

    A reviewed piece of work demonstrating technical interview questions and whiteboarding.

  33. Module 33 of 33

    Final Industry Readiness & Certification

    How to demonstrate industry readiness and earn your certification.

    Topics covered

    • Final assessment
    • certification
    • placement readiness

    Tools in this module

    WiresharkNmapVirtualBoxVMware
    You finish with

    A reviewed piece of work demonstrating final assessment and certification.

What you build

Projects that answer the interview question for you

Portfolio projects
Each project is reviewed individually, and the review notes go into your portfolio documentation.
Flagship project

Virtual Lab Setup & Network Scan

You build a virtualised lab with Kali Linux and Windows, configure networking, and run your first Nmap and Wireshark scans.

  • VirtualBox
  • Kali Linux
  • Nmap
  • Wireshark
02

Vulnerability Assessment Report

You scan a target system with Nikto and Gobuster, identify weaknesses, and write a professional vulnerability report with remediation steps.

  • Nikto
  • Gobuster
  • Nmap
03

Web Application Security Test

You test a deliberately vulnerable web app with Burp Suite, OWASP ZAP, and SQLmap, documenting each finding with evidence.

  • Burp Suite
  • OWASP ZAP
  • SQLmap
04

AI-Assisted Threat Detection

You use ChatGPT and Copilot to analyse log data, identify anomalies, and draft an incident response summary.

  • ChatGPT
  • Copilot
  • Splunk
05

SOC Incident Response Simulation

You work through a simulated attack scenario — detection, analysis, containment, and reporting — using Wazuh and MITRE ATT&CK.

  • Wazuh
  • MITRE ATT&CK
  • Splunk
06

Capstone: Full Penetration Test or Forensic Analysis

You plan, execute, and document a full penetration test or digital forensic investigation, presented as a professional report.

  • Metasploit
  • Autopsy
  • Volatility
The working loop

Learn it. Build it. Make it yours.

Learn it. Build it. Make it yours.

Every project moves through the same loop: understand the brief, build it with guidance, then explain the decisions behind your work. The certificate is the receipt — the portfolio is the point.

  1. 01

    01 Industry-focused curriculum

    You learn it the way it is used in production, with the workflow and standards a working team expects.

    Virtual Lab Setup & Network Scan

  2. 02

    Live labs, not slide demos

    You work in a virtualised environment with real tools like Kali Linux, Wireshark, and Splunk, not just watch someone else do it.

    Vulnerability Assessment Report

  3. 03

    Mentors who still do client work

    Your trainers bring current field experience into the lab, so the feedback you get is practical, not theoretical.

    Web Application Security Test

  4. 04

    AI integrated from day one

    You use ChatGPT, Copilot, and AI security agents for threat research, log analysis, and reporting — the same way modern SOC teams do.

    AI-Assisted Threat Detection

  5. 05

    Placement support until you are hired

    Resume building, mock interviews, and placement assistance continue until you are placed, not just until the course ends.

    SOC Incident Response Simulation

The honest pitch

Your months should build more than a certificate.

Your months should build more than a certificate.

A course is worth the time you give it only if you finish with work you can show and skills you can defend. In this AI-Powered Cybersecurity Course in Amritsar, every module ends with a deliverable — a vulnerability report, a Python script, a SOC dashboard, or a forensic analysis — so your portfolio proves what you can do, not just what you attended.

Project review week at the Amritsar campus

Mentors mark up work line by line

Hiring drive & mock interview day

Practitioners run the panel, not HR

Why choose AI-Powered Cybersecurity Course

Why students choose techcadd

Why students choose techcadd

What genuinely differs about this course at techcadd is that every module ends with a deliverable you built yourself, reviewed by a mentor who still works in the field.

  • 01

    Mentors who do client work

    Your trainers are not full-time teachers; they work on live security projects and bring that context into the lab.

  • 02

    Live labs, not simulations

    You work in a virtualised environment with real tools — Kali Linux, Wireshark, Burp Suite, Splunk — not a slide-based demo.

  • 03

    Small batch sizes

    Batches are kept small so you get individual feedback on your work, not just a mark.

  • 04

    Documented internship and certificate

    You finish with a techcadd certification and a documented internship record, backed by ISO 9001:2015 certification.

  • 05

    Placement support until you are hired

    The placement team works with you on resume, mock interviews, and applications until you are placed.

  • 06

    AI-integrated from day one

    You learn how AI tools fit into security workflows from the first module, not as an afterthought.

Eligibility

Who can join the AI-Powered Cybersecurity Course course

Who can join the AI-Powered Cybersecurity Course course

This programme fits anyone who wants to enter cybersecurity from a non-specialist starting point — you do not need a computer science degree to begin.

  • Educational backgroundNo specific degree or stream required — school leavers, graduates and career switchers all qualify.
  • Prior experienceNone required. The programme opens at intermediate level and builds from there across 3 / 6 / 9 months.
  • AgeNo upper age limit. What matters is being able to commit to the full course rather than dropping off midway.
  • EquipmentA laptop or desktop with a stable internet connection for classroom or live-online batches.
  • Time commitmentAble to attend regularly across 3 / 6 / 9 months, in a morning, evening or weekend batch.
Where it leads

The roles this portfolio opens

Job titles vary by company, but the underlying expectations do not. Each destination below maps to work you will have already done during the programme.

    Tools you will actually use

    The working stack for AI-Powered Cybersecurity Course

    Tools and technologies covered

    Every tool below is installed, configured and used by you during the course — not demonstrated on a slide. You leave able to set up your own environment from scratch.

    20tools covered

    Operating system
    • Kali Linux
    • Ubuntu
    • Windows 10/11
    • Windows Server
    Network simulation
    • Cisco Packet Tracer
    Network analysis
    • Wireshark
    Network scanning
    • Nmap
    Virtualisation
    • VirtualBox
    • VMware
    Version control
    • Git
    Code hosting
    • GitHub
    AI assistant
    • ChatGPT
    • Google Gemini
    • Copilot
    • DeepSeek
    Web scanner
    • Nikto
    Directory scanner
    • Gobuster
    Web security testing
    • Burp Suite
    • OWASP ZAP
    SQL injection tool
    • SQLmap
    Exploitation framework
    • Metasploit
    SIEM
    • Wazuh
    Certification

    Get certified in AI-Powered Cybersecurity Course

    Get certified in AI-Powered Cybersecurity Course

    Issued on completion against the modules you finished and the projects you submitted — plus an internship letter where the industrial training track applies. Shareable to LinkedIn, and verifiable by an employer who calls the Amritsar desk.

    • Module-wise assessment, not attendance-based
    • Project submissions logged against your certificate
    • Internship letter on the industrial training track
    • Verifiable directly with the campus office
    Future scope

    Where this takes you over the next five years

    Where this takes you over the next five years

    The skill does not stand still, and neither does what it is worth. Cybersecurity in Amritsar is moving from basic IT support toward specialised SOC, cloud, and AI-driven threat detection roles — and the people who train on those tools now will be the ones hiring teams later.

    • AI-assisted threat detection becomes standardSecurity teams are moving from manual log review to AI models that flag anomalies in real time. Analysts who understand how to tune and trust those models are in higher demand than those who only know the manual process.
    • Cloud security skills command a premiumAs more Punjab-based firms move workloads to AWS and Azure, the gap between general IT security and cloud-specific security is widening. Cloud security certifications and hands-on cloud lab experience are increasingly listed as mandatory, not preferred.
    • Remote SOC roles open the local marketSecurity operations roles are increasingly remote-friendly. A candidate in Amritsar can now work for a SOC in Bangalore, Dubai, or London without relocating — which means your competition is global, and your portfolio needs to prove you can work at that level.
    What you walk away with

    The objective is practical knowledge rather than memorised concepts.

    Every module ends with a deliverable — a script, a report, or a working lab — so you finish with a portfolio you can show, not just a certificate.

    Due diligence

    How techcadd compares

    How techcadd compares

    This comparison covers the practical differences between techcadd’s AI-Powered Cybersecurity programme and a typical cybersecurity course.

    techcadd Amritsar compared with a typical training institute in the region
    What you should asktechcadd AmritsarOther institutes
    Live project workEvery module, from week oneOften only at the end, if at all
    AI integrationBuilt into every stage — threat detection, log analysis, reportingUsually not covered, or a single optional module
    Mentor backgroundTrainers who still do client security workFull-time teachers with limited recent field experience
    Batch sizeSmall, capped batchesLarge lecture-style groups
    Deliverable portfolioGitHub repository of reports, scripts, and capstonesCertificate only, no portfolio
    Placement supportUntil you are hired, with mock interviewsResume help only, no follow-through
    Lab environmentVirtualised lab with real toolsSlide demonstrations or limited sandbox access
    CertificationISO 9001:2015 certifiedVaries; often not independently certified

    Every comparison here is about substance, not marketing language.

    Before you enrol

    Questions we get asked at the admissions desk

    Frequently asked questions

    If something here is not covered, the Amritsar desk will answer it directly — no call-back queue.

    • No. The programme opens at intermediate level and assumes no background beyond comfort with a computer. Students who already have some exposure move through the early modules faster and spend the saved time on project work.

    Book a free demo class and see the lab before you decide.

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