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AISEC-PRAC · AI security track
AI Security Practitioner
The complete, ordered path from AI-threat basics to attacking and defending real AI systems — adversarial ML, LLM red-teaming and securing the model supply chain.
Career goal
Become the person who can break an AI system before an attacker does — and then harden it, across data, model and deployment.
Duration
15 weeks
Courses
7
Milestones
7
Credential
Practitioner
The climb
Four levels, seven milestones, one destination.
From the AI threat landscape to hands-on red-teaming and a practitioner credential.
Foundation
Threat literacy — 2 courses
Proficient
Secure the pipeline — 2 courses
Mastery
Attack & harden — 2 courses
Credential
Certification-ready — 1 course
Your journey
The complete path, milestone by milestone.
7 milestones, each anchored to one course. Follow them in order — every step is built on the one before.
1
Foundation
Weeks 1–2
Learn how AI gets attacked
Start with the landscape — poisoning, evasion, extraction, prompt injection — in plain language.
AI threat landscape
Attack categories
Real incidents
Course:
How AI Systems Get Attacked · 1h 15m
2
Foundation
Weeks 2–4
Understand AI risk fundamentals
Ground your security work in why AI systems fail and where governance and security meet.
AI failure modes
Risk vocabulary
Security vs governance
Course:
AI Risk 101: Risks in Plain English · 1h 20m
3
Proficient
Weeks 4–7
Secure the ML pipeline
Protect the whole lifecycle — training data, model artefacts and deployment — from tampering and theft.
Data integrity
Model protection
Supply chain
Course:
Securing the ML Pipeline · 3h 30m · Labs
4
Proficient
Weeks 7–9
Defend LLM applications
Learn the defensive patterns for LLM apps — input handling, guardrails and monitoring.
Prompt-injection defence
Guardrails
Output filtering
Course:
Defending LLM Applications · 3h 15m · Labs
5
Mastery
Weeks 9–12
Red-team an LLM app
The core skill. Probe, break and document weaknesses in a real LLM application.
Attack techniques
Jailbreak testing
Findings reports
Course:
Red-Teaming LLM Applications · 4h 50m · Project
6
Mastery
Weeks 12–14
Run an adversarial-ML capstone
Bring attack and defence together on a full system and produce a hardening report.
End-to-end assessment
Mitigations
Portfolio artefact
Course:
AI Security Capstone · 4h 00m · Capstone
7
Credential
Weeks 14–15
Get practitioner-ready
Consolidate into a certification-ready AI security practitioner finish.
Exam domains
Scenario practice
Mock exams
Course:
AI Security Practitioner Prep · 6h 40m · Prep
Get the whole path in one bundle
Every course in this roadmap, bundled — and discounted.
You don't have to buy these 7 courses one by one. We've packaged the complete roadmap into a single bundle, so the entire journey comes at one discounted price.
★ Complete roadmap bundle
AI Security Engineer — Full Bundle
All 7 courses across the path, plus the capstone project — everything you need to finish, in one purchase.
- How AI Systems Get Attacked
- AI Risk 101: Risks in Plain English
- Securing the ML Pipeline
- Defending LLM Applications
- Red-Teaming LLM Applications
- AI Security Capstone
- AI Security Practitioner Prep
Complete bundle price
₹16,999 if bought separately
₹11,499
Save 32% as a bundle
Get the full bundle →
Or unlock this bundle and every other roadmap with an all-access membership.
What you walk away with
Skills you can prove, roles you can target.
◆ Skills you'll have
- Map the AI-specific threat landscape
- Secure training data, models and deployment
- Defend LLM apps against prompt injection
- Red-team an AI system end to end
- Write an adversarial-ML hardening report
◆ Roles this opens
- AI Security Engineer
- ML Security Specialist
- AI Red-Team Engineer
- Security Engineer (AI focus)
- AI Security Consultant
Before you start
Common questions.
Do I need ML experience?
Basic familiarity with how models work helps, but the path starts with fundamentals and builds the security angle from there.
How long does it take?
About 15 weeks part-time, self-paced.
Is there hands-on work?
Yes — several milestones are labs and a full red-teaming project you can show in a portfolio.
Can I take individual courses instead?
Yes — all are in the catalog. The bundle is cheaper and adds the capstone.
Launch your Graphy