Programme Parameters
Advanced Postgrad
3 Days (4.5 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Unlock the strategic power of AI in the cyber world with this intensive 3-day program. Designed for defense professionals, this course bridges the gap between cognitive warfare strategies like tempo and attribution, and the hands-on implementation of robust AI defenses. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Unlock the strategic power of AI in the cyber world with this intensive 3-day program. Designed for defense professionals, this course bridges the gap between cognitive warfare strategies like tempo and attribution, and the hands-on implementation of robust AI defenses.
📋 Course Objectives
1. Translate AI Professional Certification theory into practical, reproducible analysis.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in AI Professional Certification
• R&D engineers and working professionals applying AI Professional Certification in industry
• Academics and educators building research or teaching capacity in AI Professional Certification
🚀 Key Learning Outcomes
• A portfolio-grade AI Professional Certification deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Strategic AI Weaponization and Authenticity
Understand the weaponization triad: capability, intent, and doctrine, including supply-chain risks. • Explore the authenticity stack: C2PA, watermark limitations, and provenance graphs. • Hands-on: Utilize a provenance verifier (C2PA/EXIF + heuristics), conduct benign OSINT graphing, and triage deepfakes using a notebook.
Adversarial AI and Model Security
Identify the AI threat surface: poisoning attacks, backdoors, prompt injection, and data exfiltration. • Implement defense-in-depth strategies and map purple-team tactics to detections and controls. • Hands-on: Develop policy-driven two-pass RAG with local LLMs, demonstrate robustness using ART/TextAttack, and perform telemetry anomaly scoring.
AI Misuse Detection
Design and implement an LLM misuse detector with a Streamlit mini-dashboard. • Apply provenance verification (batch CLI) integrated with policy actions. • Harden RAG intake with hash/MIME checks, denylists, and canaries.
Robustness and Anomaly Detection
Assess the robustness of AI models against adversarial attacks. • Implement and evaluate anomaly scoring techniques for telemetry data. • Compare autoencoder performance against Isolation Forest for outlier detection (optional).
Operational Governance and Incident Response
Define and track Key Performance Indicators (KPIs) for AI security. • Establish effective monitoring strategies for AI systems. • Develop robust incident response plans and conduct After Action Reviews (AAR).
Advanced Defense Strategies and Purple Teaming
Map advanced attack techniques to defensive controls and detections. • Practice purple-teaming exercises to enhance AI system resilience. • Implement next-generation protective measures against evolving AI threats.
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | SpiderFoot |
| Covered Tool / Platform | theHarvester |
| Covered Tool / Platform | recon-ng |
| Covered Tool / Platform | exiftool |
| Covered Tool / Platform | C2PA CLI |
| Covered Tool / Platform | InVID-WeVerify |
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Jupyter |
| Covered Tool / Platform | OpenCV |
| Covered Tool / Platform | librosa |
Frequently Asked Questions
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