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CyberX

AI Cybersecurity & Intelligent Defense

The next generation of cyberattacks will be AI-driven, and so must your defense.

Co-developed with iHub Anubhuti–IIITD

Next-Gen Internet & Computing

Duration

~3 months

Format

Fully online

Schedule

1.5-hour live classes on alternate days

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Why this programme

The next generation of cyberattacks will be AI-driven, and so must your defense.

Combine core security practice with AI/ML techniques for threat detection and response, and learn to secure AI systems themselves. Practice is defensive, ethical and lab-based; any scanning or assessment is limited to prepared, explicitly authorised environments.

Your starting point

For engineering students with basic Python and an interest in security. Familiarity with terms such as malware, phishing and firewalls is useful. Prior ML or ethical-hacking experience is not expected.

These notes describe the programme’s intended starting point, not a formal eligibility table. Working professionals are welcome to enquire; no additional entry criteria are implied here.

What you can take forward

  • Explain core security concepts, frameworks and common attacks.
  • Review training web applications against OWASP guidance and assess vulnerabilities only in authorised lab environments.
  • Triage alerts, analyse logs and follow an incident-response process.
  • Build a small phishing or security-anomaly detection example and use LLMs in defensive workflows; malware/IDS modelling is an optional extension.
  • Identify key AI/LLM system risks and apply safeguards, with awareness of privacy responsibilities including India's DPDP Act.

Curriculum map

Ten modules. One working outcome.

Core topics and module build tasks are the programme pathway. Optional extensions are marked separately and are not promised core instruction.

Core learningHands-on buildOptional extension
01Cybersecurity Fundamentals

Core topics

Threats, account hygiene, MFA, access controls and authorised lab practice; frameworks are introduced for awareness.

Build task

Complete a checklist-based security audit of a prepared environment.

02Networking and Systems Security

Core topics

IP, ports, DNS, HTTP, basic Linux commands, permissions, logs and firewalls.

Build task

Inspect safe traffic or logs in a guided lab.

03Threat Intelligence and Vulnerability Management

Core topics

CVEs, severity, prioritisation and scanning only authorised lab assets.

Build task

Write a findings and recommendations report.

Optional extension · not a core promise

Extensive OSINT tooling.

04Web and Application Security

Core topics

Insecure authentication, input validation, common web flaws and simple fixes in a training app.

Build task

Identify and explain a controlled vulnerability in the training environment.

05Security Operations (SOC) and Incident Response

Core topics

Structured logs, alerts, incident timelines, triage and reporting.

Build task

Investigate synthetic logs and submit an incident report.

06Machine Learning for Security

Core topics

One small phishing or security-anomaly classification example, features, confusion matrix and false positives.

Build task

Evaluate a simple detector.

Optional extension · not a core promise

Malware/IDS modelling.

07Generative AI in Cyber Defense

Core topics

AI-assisted summarisation of synthetic security logs, verification, confidentiality and human decision-making.

Build task

Create a reviewed incident-summary assistant.

08Securing AI and LLM Systems

Core topics

Prompt injection, sensitive-data exposure and simple safeguards in a toy application.

Build task

Complete a controlled assessment and mitigation report.

Optional extension · not a core promise

Advanced attack catalogues and MCP security.

09Cloud, Identity and Governance

Core topics

IAM, least privilege, MFA, basic cloud misconfigurations and practical privacy responsibilities.

Build task

Review access permissions in a prepared scenario.

Optional extension · not a core promise

Detailed compliance.

10Capstone Project Capstone begins in module 8

Core topics

An authorised defensive project such as incident analysis, a phishing detector or a toy AI-app security review.

Capstone deliverables

Include evidence, reproducibility, limitations, report and demo; complete an individual viva.

Tools named as examples or recommendations in the outline are illustrative; the teaching approach may use one supported tool or stack where indicated.

Portfolio & capstone

Evidence you can show

An authorised defensive capstone—such as incident analysis, a phishing detector or a toy AI-app security review—with evidence, reproducibility, limitations, report and demo, completed with an individual viva.

Learning rhythm

One hands-on assignment per module, quizzes and a mid-programme assessment. Guided work includes structured and recorded content, live sessions, exercises, coding practice and case studies.

Illustrative next steps

Where this can lead

Entry-level pathways to explore—not placement promises.

  • SOC analyst trainee
  • Security analyst
  • AI security associate

Certification

Certification with iHub Anubhuti–IIITD

Co-developed with iHub Anubhuti–IIITD

Delivery & assessment

Duration

~3 months

Format

Fully online

Live classes

1.5 hrs, alternate days

Modules

10, capstone from module 8

Each programme runs about 3 months, fully online, with 1.5-hour live classes on alternate days and about 30–35 hours of live instruction. Structured and recorded content sits alongside hands-on exercises, coding work, case studies, quizzes and guided projects. There is one hands-on assignment per module plus quizzes and a mid-programme assessment. The capstone begins in module 8, includes mentor checkpoints, and concludes with a final demo, assessment and individual viva. Certification considers assignments, the assessment, capstone and a minimum attendance requirement.

One assignment per moduleQuizzes + mid-programme assessmentCapstone + individual vivaMinimum attendance requirement

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