Certification in
Cybersecurity and Ethical
Hacking with applied AI

Certification in
Cybersecurity and Ethical
Hacking with applied AI

  • Learn from industry experts and top faculty with experience from top global institute.
  • Get access to Live classes, instant academic support, and an evolving curriculum aligned with industry trends.
  • Build market-ready cybersecurity skills through real-world ethical hacking and defense projects with guidance from PwC Academy mentors.
Enter the following details to continue

Batch Starts

January 06, 2026

Course Duration

6 Months

Eligibility

12th Pass and Above

Learning Mode

Online

Time Commitment

8-10 Hours/Week

useravatars
useravatars
useravatars
useravatars

2.3K+ students have already registered

Course Certificate
Course Certificate

Why choose this course?

Master Cybersecurity with Leading Faculties and Industry Experts

Certification from iHUB DivyaSampark, IIT Roorkee:

Dual Certification from iHUB DivyaSampark IIT Roorkee and PwC Academy upon successful completion, recognizing your achievement

Campus Immersion:

An optional 3-day campus immersion for direct interaction with industry experts and peers.

Placement Opportunities

Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance)

Advanced Curriculum:

Access cutting-edge cybersecurity content, engaging simulations, and practical evaluations. Focus on real-time project implementation for hands-on mastery.

Case-Based Learning:

Engage in real-world, case-based sessions that connect theory with practical CyberSecurity challenges.

World-Class Faculty:

Learn directly from IIT's top-tier faculties and industry experts from PwC and more

Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score

What Will You Learn?

Elevate your cybersecurity prowess. Learn to conduct ethical hacks, defend against sophisticated threats, and integrate AI for unparalleled security. Drive your career forward with a robust portfolio built from hands-on labs simulating real-world cyberattacks and defenses. Build skills to secure your place as a high-impact cybersecurity professional, ready to lead with data-driven strategies and fortify digital assets.

Toolkit

Toolkit 1
Toolkit 2
Toolkit 3
Toolkit 4
Toolkit 5
Toolkit 6
Toolkit 7
Toolkit 8
Toolkit 9

Course Details

Duration

6 Months

Course Mode

Online

Certification

From iHUB DivyaSampark IIT Roorkee and PwC Academy

Module 1 — Cybersecurity Foundations & Evolving Threat Landscapes

  • 1.1 Introduction to Cybersecurity Fundamentals
    • Core concepts: Confidentiality, Integrity, Availability (CIA Triad)
    • Threat actors & attack vectors
    • Key principles: Defense-in-Depth, Least Privilege, Zero Trust
    • Frameworks & standards: NIST, ISO 27001 (overview), CIS Controls
  • 1.2 Networking Essentials for Security
    • TCP/IP model & key protocols
    • Network devices and their security roles
    • Topologies, segmentation & wireless security
    • Tools: Wireshark, tcpdump
    • Lab: Network-traffic analysis with Wireshark
  • 1.3 Understanding the Evolving Threat Landscape
    • Current & emerging cyber-threat trends
    • Impact of new technologies on security
    • Threat-intelligence fundamentals
    • Lab: Case-study analysis of a recent cyber-attack

Module 2 — Ethical Hacking, Footprinting & Vulnerability Assessment

  • 2.1 Ethical Hacking Methodologies
    • Phases of ethical hacking
    • Legal & ethical considerations
    • Intro to penetration-testing toolsets
    • Tools: Kali Linux
    • Lab: Setting up Kali VM & vulnerable targets
  • 2.2 Footprinting & Reconnaissance Techniques
    • Passive reconnaissance (OSINT)
    • Active reconnaissance: scanning & enumeration
    • Tools: Nmap, Shodan, theHarvester, dig / nslookup
    • Lab: Comprehensive OSINT + active recon
  • 2.3 Vulnerability Assessment Strategies
    • Vulnerability-management lifecycle
    • Scanning tools & workflows
    • CVE / CVSS basics; spotting common vulns
    • Tools: OpenVAS, Nessus (trial)
    • Lab: Run a vulnerability scan & interpret results

Module 3 — Advanced Network Security & Incident Response

  • 3.1 Advanced Network-Security Controls
    • Firewalls deep dive: WAFs, NGFWs
    • IDS / IPS: signature vs. anomaly detection
    • VPNs, NAC, DDoS mitigation
    • Tools: Snort, Wazuh, iptables
    • Lab: Configure firewall rules & analyse IDS/IPS alerts
  • 3.2 Security Operations Centre (SOC) & SIEM
    • SOC roles, tiers & workflows
    • SIEM basics: log collection, correlation, alerting
    • Tools: Splunk (community), ELK Stack
    • Lab: Security-log analysis inside a SIEM
  • 3.3 Comprehensive Incident Response
    • Incident-response lifecycle & planning
    • Digital-forensics basics for IR
    • Effective incident communication
    • Lab: Build a basic IR playbook

Module 4 — Secure Coding Practices & Application Security

  • 4.1 Secure-SDLC Integration & Threat Modelling
    • Embedding security in each SDLC phase
    • STRIDE threat-modelling workshop
    • Security-by-design principles
    • Lab: Build a simple threat model
  • 4.2 Web & API Vulnerabilities (OWASP)
    • OWASP Top 10 deep dive
    • API-security best practices
    • Tools: Burp Suite (community), OWASP ZAP, SQLMap
    • Lab: Exploit common web/API vulns in a safe environment
  • 4.3 Secure Coding Best Practices
    • Data protection & cryptography essentials
    • Secure configuration, error handling & logging
    • Dependency / supply-chain security
    • Tools: Bandit, Snyk (SCA)
    • Lab: Code review & remediation exercise

Module 5 — AI-Driven Cybersecurity: Detection, Automation & Defense

  • 5.1 Leveraging AI/ML for Cybersecurity
    • Fundamentals of ML in security contexts
    • Use-cases: anomaly detection, malware classification, etc.
    • Data requirements & pitfalls
    • Tools: scikit-learn, TensorFlow (basic)
    • Lab: Train a simple malware-detection model
  • 5.2 Security Automation & Orchestration with AI
    • SOAR platform concepts
    • Automated incident triage & response
    • AI-driven vulnerability prioritisation
    • Tools: Cortex (concepts), TheHive, Python scripting
    • Lab: Design an automated security workflow
  • 5.3 Adversarial AI & Defensive Techniques
    • How attackers exploit AI/ML
    • Basics of adversarial machine-learning (AML)
    • Defensive counter-measures
    • Tools: IBM ART, Google AutoML (conceptual)
    • Lab: Identify & discuss adversarial examples

Module 6: Project pathway by PwC Academy

  • Work on projects like
    • Cybersecurity Foundations (Advanced Refresh)
    • Compliance Gap Analysis Report

Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module"

Instructors & Industry Experts

Dr. Nikhil Tripathi

Dr. Nikhil Tripathi

Assistant Professor, CSE @ IIT (ISM) Dhanbad

Dr. Nikhil Tripathi is an accomplished academic in the field of Computer Science and Engineering, currently serving as an Assistant Professor. He hold...

Animesh Shaw

Animesh Shaw

Senior Security Engineer, Omnissa

Animesh Shaw is a seasoned cybersecurity professional with over 10 years of expertise in Application Security, Cloud Security, and DevSecOps. He holds...

Karthick Arumugam

Karthick Arumugam

Cyber Security Engineer, Accenture

Karthick Arumugam is an accomplished cybersecurity professional with over six years of experience in the industry. He has held diverse roles, includin...

Admission Process

Admission Process
Submit Application

Submit Application

Complete application form to showcase your motivation and goals

Complete Counselling

Complete Counselling

Only shortlisted candidates go through the counselling process

Start Learning

Start Learning

Learn from India's top educators and stand out from the crowd.

Fee Structure

Application Fee

(non-refundable)

₹100

Option 1

Upfront

Option 2

EMI

(Through Masai's NBFC Partners)

Secure Seat Fee

(non-refundable)

₹4,000

₹4,000

Program Fee

(non-refundable)

₹56,000

₹7,156 x 9 months

Total

₹60,000

( + GST **)

₹68,404

( + GST **)

** GST at 18% extra, as applicable

Our NBFC Partners

Company logo
Company logo
Company logo
Company logo
Company logo
Company logo
Company logo
Company logo
Company logo
Company logo
Company logo
Company logo
Company logo
Company logo
Masai student

How will Masai Help you?

1

Placement Opportunities

Get guaranteed interviews and personalized career support, including resume preparation and mock interviews. Eligibility: 7+ CGPA and 65% attendance in the program

2

Real-Time Learning Ecosystem

Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.

3

Industry Integration and Projects

Participate in hands-on industry projects guided by expert mentors from IIT and top companies, ensuring practical and relevant skills development.

FAQs

Contact Us

WhatsApp us

WhatsApp us

For any queries, you can Whatsapp us at +918197292840

Email us

Email us

For any queries, you can contact us at ihubiitr.programs@masaischool.com

Copyright © Nolan Edutech Private Limited. All rights reserved

Address :- Incubex HSR21, 5th Main Rd, Sector 6, HSR Layout, Bengaluru, Karnataka 560102.

Congratulations! You've Unlocked Masai Unlimited!

Now, learn from India's best faculty – on your terms.
All courses, all certifications, unlimited access.

Get certified from Vishlesan i-Hub Foundation IIT Patna & iHUB DivyaSampark IIT Roorkee

Get certified from Vishlesan i-Hub Foundation IIT Patna & iHUB DivyaSampark IIT Roorkee

AI Tutor for instant doubt-solving, anytime.

AI Tutor for instant doubt-solving, anytime.

Explore masai unlimited courses

Vishlesan i-Hub IIT Patna

Fundamentals of Artificial Intelligence & Machine Learning

Taught in English & Hindi

Taught by professors & mentors from

IIT Pallakkad, IIT Dhanbad

iHUB DivyaSampark, IIT Roorkee

Introductory Product Management & Agentic AI

Taught in English & Hindi

Taught by professors & mentors from

IIM Ranchi, TataMG, Flipkart, IIT Palakkad