Students After 12th
Students from different academic streams can begin with the fundamentals and gradually develop cybersecurity knowledge without assuming advanced programming skills.
Build practical cybersecurity skills in six months — starting with computer systems, Linux and networking, then progressing into ethical hacking, web security, SOC operations, SIEM, cloud security, digital forensics, malware analysis, DevSecOps and AI-powered security automation.
This six-month programme follows a progressive path so that beginners do not have to jump directly into advanced security tools.
Month 1 — Cybersecurity Foundations & Networking. The first month establishes the technical base required for cybersecurity. You will learn computer fundamentals, operating systems, Windows and Linux administration, networking concepts, virtualisation and basic security principles.
The networking portion covers the OSI and TCP/IP models, IP addressing, subnetting, routing, switching, DNS, DHCP, NAT and VPN concepts. You will also create virtual environments using VMware or VirtualBox and work with Kali Linux and Windows Server. Git, GitHub and introductory AI tools are also introduced to help you document work and explore AI-assisted cybersecurity workflows.
Month 2 — Ethical Hacking & Web Security. The second month introduces authorised security testing and web application security. You will explore OSINT, information gathering, DNS and subdomain enumeration, WHOIS and search-based reconnaissance. Practical security tools include Nmap, Wireshark, Nikto, Gobuster and Nuclei.
Web security training covers HTTP, HTTPS, cookies, sessions and APIs before moving into OWASP Top 10 vulnerabilities such as SQL injection, XSS, CSRF, insecure file uploads and authentication weaknesses. Burp Suite is used for understanding and testing web applications in controlled environments. AI-assisted research, vulnerability analysis and report preparation are also introduced.
Month 3 — Advanced Ethical Hacking & SOC Operations. Month three moves towards offensive security techniques and defensive security operations. Topics include Metasploit, Hydra, password security, wireless security, Windows security, Active Directory, Group Policy and privilege-escalation fundamentals.
You will then move into SOC operations, blue-team workflows and incident handling. SIEM platforms such as Wazuh, Splunk and the ELK Stack are used to understand log collection, monitoring and investigation. Threat hunting introduces MITRE ATT&CK, indicators of compromise, threat intelligence and detection engineering. AI can be applied to log analysis, alert classification and security investigation workflows.
Month 4 — Cloud Security & Security Automation. Modern security professionals increasingly need to understand cloud infrastructure. This module covers security concepts across AWS and Azure, including IAM, EC2, S3, CloudTrail, security groups, Azure IAM and cloud security monitoring.
You will also explore Docker and Kubernetes security, CI/CD security, SAST, DAST and secrets management. Python is introduced for security automation, including scripts for log processing, API interaction and repetitive security tasks. OpenAI and Gemini APIs can be used to develop security-focused assistants and automation workflows.
Month 5 — Digital Forensics, Malware Analysis & Incident Response. The fifth month focuses on what happens after a security incident occurs. You will study evidence collection, chain of custody, memory analysis and disk analysis. Malware analysis introduces static analysis, dynamic analysis, sandboxing and indicators of compromise.
The incident-response process covers detection, containment, eradication, recovery and lessons learned. Threat intelligence concepts include IOCs, TTPs, STIX, TAXII and threat feeds. AI applications in malware analysis, incident response and threat intelligence are also explored.
Month 6 — Capstone Project & Career Preparation. The final month brings the previous modules together. You will select and develop an AI-enabled cybersecurity project such as an AI SOC platform, threat-hunting system, vulnerability-management application, security automation tool or AI security assistant.
The project includes architecture planning, technical documentation, a user guide, GitHub documentation and deployment considerations. Career preparation covers ATS-friendly resumes, LinkedIn optimisation, GitHub presentation, technical interview questions and mock interviews.
Practical cybersecurity activities should always be performed in your own lab, authorised training environments or intentionally vulnerable platforms such as DVWA and OWASP Juice Shop.
The programme is designed around practical outcomes rather than only theoretical cybersecurity terminology.
Set up a controlled virtual environment using VMware or VirtualBox with Linux and Windows systems for cybersecurity practice.
Understand reconnaissance, vulnerability discovery and common OWASP web security weaknesses using controlled applications.
Work with Wazuh, Splunk and ELK-based workflows to understand logs, alerts, security monitoring and threat investigation.
Learn the fundamentals of evidence handling, malware investigation, digital forensics and incident-response procedures.
Understand identity, permissions, monitoring, storage and infrastructure-security concepts across AWS and Azure.
Use Python and AI APIs to create a security-focused application or automation solution and turn it into a documented capstone project.
The six-month curriculum combines cybersecurity fundamentals, offensive security, defensive operations, cloud protection, forensics and AI.
The programme is designed around practical exercises rather than memorising cybersecurity definitions. Learners can progressively build a virtual cybersecurity lab, networking documentation, web-security assessments, vulnerability reports, SIEM deployments, threat-hunting reports, cloud-security exercises, Python automation scripts, AI-powered security applications and a final cybersecurity capstone.
The capstone brings the six months together in one documented build — an AI SOC platform, threat-hunting system, vulnerability-management application, security automation tool or AI security assistant, with its architecture, user guide, GitHub repository and deployment written up.
The curriculum introduces a broad cybersecurity toolkit across networking, offensive security, defensive operations, cloud and AI.
Students from different academic streams can begin with the fundamentals and gradually develop cybersecurity knowledge without assuming advanced programming skills.
The programme can complement academic learning with practical networking, Linux, security testing, SOC and cloud-security projects.
If you are considering SOC, security testing, cloud security, digital forensics or security automation, this programme provides exposure to multiple areas before choosing a specialisation.
You can learn ethical hacking concepts through authorised labs and intentionally vulnerable applications while also understanding the defensive side of security.
Learners with basic computer, networking or system-administration knowledge can use the programme to expand into security-focused roles.
If you have studied cybersecurity independently but want a structured curriculum, projects and interview preparation, the six-month format provides a guided learning path.
Learn Linux, Windows, networking, virtualisation and cybersecurity fundamentals before moving into advanced security tools.
Understand both sides of cybersecurity — vulnerability discovery as well as monitoring, detection and incident response.
Work through SIEM concepts, log analysis, threat hunting, MITRE ATT&CK and security operations.
Explore AWS and Azure security concepts alongside containers and DevSecOps practices.
Develop an understanding of how security teams collect evidence, analyse incidents and respond to threats.
Explore how Python and generative AI APIs can support security research, analysis, automation and security applications.
Use projects and the final capstone to demonstrate what you can actually build and investigate.
Cybersecurity is no longer limited to antivirus software or basic network protection. Organisations increasingly need people who understand applications, cloud environments, identities, logs, incidents, automation and AI.
The goal is to give beginners a broader understanding of modern security workflows while developing practical project experience.
The progression this programme follows
Ten minutes with the techcadd team settles eligibility, session timings, fees and where this leads — before you commit six months to it.
After completing the required training and project work, learners can receive the applicable course-completion documentation provided by techcadd. Certificate titles, internship documentation and current placement-support terms should be confirmed with the Mohali centre before enrolment.


Two documents on completion — the course certificate, and a separate certificate for the capstone you build and defend. Click any card to inspect in full screen.
The programme can help you explore entry-level and junior opportunities across security operations, testing, cloud, forensics and automation.
Roles this programme prepares you for
Monitor security events, investigate alerts and support incident-response processes.
Create a controlled virtual environment with Kali Linux and Windows Server, document the network and implement basic security policies. Skills: Linux · Windows Server · VMware/VirtualBox
Perform authorised assessments of intentionally vulnerable web applications and document common security weaknesses. Skills: Burp Suite · OWASP · Web Security
Use security-assessment tools to identify findings in a controlled environment and prepare a structured vulnerability report. Skills: Nmap · Nuclei · Wireshark · Reporting
Set up a SIEM environment, collect logs and investigate security events using threat-hunting concepts. Skills: Wazuh · Splunk · ELK · MITRE ATT&CK
Develop a Python-based security assistant that uses an AI API to support selected security-analysis or documentation workflows. Skills: Python · APIs · AI Automation
Build one complete project such as an AI SOC dashboard, AI threat-hunting assistant, security automation platform, vulnerability-management application, AI security chatbot or threat-intelligence dashboard. Document the architecture, implementation, usage and deployment process. Skills: Cybersecurity · Python · AI · APIs · GitHub · Deployment
Every project follows a simple learning cycle.
Start with the security problem, understand the environment and identify the appropriate tools.
Personal Cybersecurity LabWork through the implementation in a controlled lab with guidance and practical exercises.
DVWA & Juice Shop Security AssessmentDocument what you discovered, why you selected particular techniques and how the solution works.
Vulnerability Assessment ReportTurn the finished project into a portfolio piece that you can discuss during interviews.
SIEM Deployment & Threat HuntingA curriculum that builds in order, a lab behind every concept, and coverage that runs past ethical hacking into operations, cloud and forensics.
The programme moves from computer and networking fundamentals into increasingly advanced cybersecurity areas.
Security concepts become easier to understand when you configure systems, analyse logs and work through controlled security scenarios.
Instead of focusing exclusively on ethical hacking, the curriculum also introduces SOC, SIEM, cloud security, DevSecOps, forensics and incident response.
The course includes AI tools and APIs to demonstrate how automation and generative AI can support modern security workflows.
Mini projects and the final capstone give learners practical work to document and discuss.
Resume development, GitHub presentation, LinkedIn optimisation and mock interview preparation help learners prepare for entry-level opportunities.
Alumni of this route, on what changed once they were sitting in interviews.
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AutoCAD and SolidWorks were taught with actual production drawings, not textbook exercises. My employer noticed that my drawing sets followed proper standards from day one.
I joined the 6-month MERN track straight after B.Tech with almost no practical experience. The live project work is what changed things — I had real code to talk about in interviews instead of just a syllabus.
The trainers actually work in the field, so every session had context from real projects. The Power BI and SQL modules were exactly what my interview rounds tested.
The Generative AI course was current in a way online tutorials are not. Building a full RAG pipeline and deploying it gave me something genuinely impressive for my portfolio.
Still unsure? A ten-minute call with a counsellor usually settles it faster than any brochure.
The programme is structured as a six-month cybersecurity course covering foundations, ethical hacking, SOC, cloud security, forensics, AI security and a final capstone project.
Want to know whether cybersecurity is the right option after 12th?
Speak with a course counsellor about the current syllabus, session timings, practical training, fees, project work, certification and career-support options available in Mohali.
Location: Mohali, Punjab. Counselling hours: Monday to Saturday, 9:00 AM to 7:00 PM.
Your details are used only to contact you about this enquiry — never sold, never added to a marketing list.
Explore related technology programmes that can complement your cybersecurity learning.
You do not need to decide your specialisation before you begin.
A counselling session or demo class can help you understand the learning path, practical lab environment, project structure and career options before enrolling.
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