Linux & Windows Lab Build
Build and configure a Kali Linux and Windows Server lab environment with documented users, groups and permissions.
- Kali Linux
- VirtualBox
3 / 6 / 9 Months
Duration
Weekday/Weekend
Mode
12th Pass/Any Grad
Eligibility
10-12 Students
Batch Size
Admissions open
OSINT Real-World Applications Course · Flexible batches
Batch timings
techcadd's OSINT Real-World Applications Course in Amritsar is a lab-based, professional-level programme for learners who want to work as OSINT analysts, threat intelligence analysts, or security researchers.
It opens with cybersecurity fundamentals, networking, and the intelligence cycle, then moves into information gathering, OSINT tools, social media intelligence, domain and IP intelligence, dark web monitoring, threat intelligence, and reporting.
You finish with a professional portfolio of intelligence reports, a capstone project, CV preparation and interview coaching.
Open-source intelligence (OSINT) is the practice of gathering and analysing publicly available information to support security, investigations, and decision-making. At the professional level, the job changes from running tools to owning an intelligence cycle — scoping the requirement, collecting data, processing and analysing it, producing actionable intelligence, and defending the findings to a client. That is the layer this programme trains you for. Manufacturing units, IT firms, banks, healthcare providers, and law enforcement agencies across Punjab are all digitizing their operations, and each of them needs analysts who can find, verify, document and explain intelligence before it becomes an actionable threat.
Techcadd's OSINT Real-World Applications Course is built around the tools that appear in actual job descriptions — Google Dorking, Maltego, Shodan, theHarvester, Recon-ng, SpiderFoot, and OSINT Framework — not academic substitutes. You work in a hands-on lab from the first week and finish with a professional portfolio of intelligence reports, a capstone project, and interview-ready documentation. The programme is available in 3, 6, and 9-month tracks, and each longer track includes everything from the shorter one without repeating a module. Batch sizes are capped at 10–12 students, and every deliverable is reviewed weekly by mentors who still work on live engagements.
Core security concepts — the CIA Triad, common threat types, security domains, and the legal and ethical boundaries of OSINT.
A written summary of security domains and legal boundaries of OSINT
Windows and Linux fundamentals — users, groups, permissions, and the operating system knowledge every OSINT investigation assumes.
A configured Linux and Windows lab environment with documented permissions
Networking fundamentals — the OSI and TCP/IP models, IP addressing, subnetting, routing, DNS, DHCP, and VPN concepts that every OSINT investigation depends on.
A documented network map and packet capture analysis
Building a safe virtualisation lab with Kali Linux and Windows Server so every OSINT exercise runs in an isolated environment.
A working Kali Linux and Windows Server lab on your own machine
Git branching and GitHub workflows so scripts, notes and reports are version-controlled like a professional project.
A GitHub portfolio repository with your OSINT scripts and reports
Using AI assistants and prompt engineering to speed up detection, triage and OSINT research — a practical tool skill, not a theory module.
A documented workflow for using AI tools in OSINT analysis
Passive and active information gathering — OSINT, Google dorking, WHOIS, DNS and subdomain enumeration against a real target.
An information gathering report on an authorised target
Advanced OSINT — automation, custom tooling, and advanced investigation techniques.
An advanced OSINT investigation with documented automation
Domain and IP intelligence — WHOIS, DNS analysis, IP geolocation, and attack surface mapping.
A domain and IP intelligence report with attack surface map
Writing Python and Bash scripts to automate OSINT collection, analysis and reporting tasks.
A Python OSINT automation script published to GitHub
Using AI APIs to assist OSINT reconnaissance, scripting and analysis in an intelligence workflow.
An AI-assisted OSINT automation workflow with documented outputs
A complete industry-style capstone combining OSINT reconnaissance, social media intelligence, domain intelligence, and threat intelligence.
A complete end-to-end capstone project and report
Resume, LinkedIn and portfolio preparation with mock interviews for OSINT roles.
An interview-ready resume, LinkedIn profile and portfolio
Threat intelligence and dark web monitoring — threat intelligence platforms, dark web monitoring, and IOC extraction with the MITRE ATT&CK framework.
A threat intelligence report with dark web findings
Scoping and planning a full OSINT capstone, with documentation from day one.
An approved capstone project plan
Building the core OSINT components of the capstone project in the lab.
A working capstone phase-one build
Adding advanced detection, automation and hardening features to the capstone build.
A capstone build with advanced features and documentation
Writing professional-grade documentation for the capstone, suitable for a client or employer.
A complete capstone documentation set
Operational security and anonymity — OPSEC, Tor, VPNs, and privacy tools for OSINT investigations.
An OPSEC and anonymity configuration report
Career readiness — portfolio review, resume refinement and interview preparation for OSINT roles.
An interview-ready OSINT portfolio and resume
OSINT and threat intelligence career paths — roles, workflows and the tooling employers expect you to know.
An OSINT career map with portfolio alignment
Building a resume, LinkedIn profile and GitHub portfolio that reflects your lab work and capstone project.
A published resume, LinkedIn profile and GitHub portfolio
Aptitude and HR interview preparation for OSINT hiring processes.
Aptitude and HR interview readiness
Technical mock interviews covering labs, tools, reporting and defensive reasoning.
Technical interview readiness with documented feedback
A hands-on practical assessment and certification covering the full programme.
A practical assessment result and certification
Build and configure a Kali Linux and Windows Server lab environment with documented users, groups and permissions.
Capture live network traffic with Wireshark and produce a documented network map and packet analysis.
Run OSINT, Google dorking, WHOIS and DNS enumeration against an authorised target and document the findings.
Use Maltego, Shodan, theHarvester, Recon-ng and SpiderFoot to investigate an authorised target and document the findings.
Investigate social media profiles and produce a SOCMINT report with findings.
Conduct domain and IP intelligence, DNS analysis, and attack surface mapping.
Write and ship a Python OSINT automation script for collection, analysis or reporting, published to GitHub.
Monitor the dark web, extract IOCs, and produce a threat intelligence report.
Handle evidence, analyse memory and disk images with Autopsy and Volatility, and produce an investigation report.
Analyse malware behaviour, extract IOCs, and produce a report with YARA rules.
Complete an end-to-end capstone combining OSINT reconnaissance, social media intelligence, domain intelligence, and threat intelligence.
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.
You learn it the way it is used on real intelligence engagements, with the workflow and standards an intelligence team expects.
Linux & Windows Lab Build
Every module runs in a hands-on lab against real targets — public records, social media, and open data — not screenshots.
Packet Capture & Network Map
Each module ends with a documented artefact reviewed weekly by a mentor who still works on live engagements.
Information Gathering Report
Every exercise ends with a written report, and the programme closes with a practical assessment and certification.
OSINT Investigation Report
A course is worth the time you give it only if you finish with work you can show and skills you can defend.
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
What makes this course at techcadd different from a typical alternative.
Not full-time lecturers — trainers who are still doing the job they teach.
Every module runs in a hands-on lab against real targets — not screenshots.
Google Dorking, Maltego, Shodan, theHarvester, Recon-ng, SpiderFoot — not outdated or academic substitutes.
Each longer track includes every module from the shorter one without repeating a module.
You learn to use AI assistants and prompt engineering as practical tools in OSINT analysis.
This course works for a specific starting point — here's who gets the most out of it.
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.
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
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.
The skill does not stand still, and neither does what it is worth.
The objective is practical knowledge rather than memorised concepts.
What actually differs between this course at techcadd and a typical alternative.
| What you should ask | techcadd Amritsar | Other institutes |
|---|---|---|
| Live OSINT project work | Every course, from week one | Varies, often only at the end |
| Small batches (10–12) | Capped for mentor attention | Often 30+ students per batch |
| Tools used in job descriptions | Google Dorking, Maltego, Shodan, theHarvester, Recon-ng, SpiderFoot | Outdated or academic substitutes |
| Mentor-reviewed deliverables | Weekly review by working professionals | Often no review or feedback |
| AI-assisted learning | Built into the curriculum | Rarely included |
Every comparison here is about substance, not marketing language.
If something here is not covered, the Amritsar desk will answer it directly — no call-back queue.
No. The programme opens at beginner 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.