TrRACK.md

🚀 AI Security Learning Path Tracker

Fastest Path Summary (10-14 weeks full-time)

Phase	Topic	Time Estimate	Status	Notes
1	Networking + Linux + Cyber basics	2-3 weeks	Not Started
2	AI & ML fundamentals	1-2 weeks	Not Started
3	AI/ML threat landscape	2-3 weeks	Not Started
4	Deployment + LLM security	2-3 weeks	Not Started
5	Projects + optional certs	2-3+ weeks	Not Started

Detailed Progress Tracking

Phase 1: Networking + Linux + Cyber basics

• Networking fundamentals
• Linux command line basics
• Cybersecurity core concepts
• Basic threat modeling

Phase 2: AI & ML fundamentals

• Machine learning concepts
• Neural network basics
• Python for ML/AI
• Data preparation and processing

Phase 3: AI/ML threat landscape

• AI attack vectors
• Prompt injection techniques
• Model vulnerabilities
• Data poisoning attacks

Phase 4: Deployment + LLM security

• Secure AI deployment practices
• LLM-specific security measures
• Monitoring and logging
• Security testing for AI systems

Phase 5: Projects + optional certs

• Personal project: _______________
• Portfolio development
• Certification: _______________
• Job application preparation

Resources & Notes

Add your resources, links, and notes here as you progress through the curriculum.