Each track combines multiple VEXA Academy programmes into a guided path. You can enrol course by course
or discuss a full track plan with us.
Track 1 · Web & AppSec
Web Pentester / Application Security Engineer
Goal: Become a job-ready Web Application Pentester capable of testing modern web and API applications.
Courses in this track:
- Cybersecurity Fundamentals (Beginner)
- Web Application Penetration Testing (Professional)
- Bug Bounty & Responsible Disclosure
- AI Security & Prompt Injection (optional modern add-on)
Best for: BCA/MCA students, freshers, developers moving into AppSec, bug bounty beginners.
Key skills: OWASP Top 10, XSS, SQLi, CSRF, IDOR, API testing, recon, reporting, bug bounty methodology.
Outcome: Ready for Junior Pentester / AppSec roles and bug bounty programs.
Track 2 · Cloud & DevSecOps
Cloud & Kubernetes Security Engineer
Goal: Secure AWS environments and Kubernetes clusters, with a strong understanding of misconfigurations and attack paths.
Courses in this track:
- Cybersecurity Fundamentals (or equivalent basics)
- Cloud & Kubernetes Security
- Web Application Penetration Testing (optional, for API/backend context)
Best for: Cloud engineers, DevOps, security analysts moving into cloud security.
Key skills: IAM, S3/EC2 security, IAM privilege escalation, Kubernetes pod escape concepts, secrets management, IaC awareness.
Outcome: Ready for Cloud Security / DevSecOps style roles with practical misconfiguration awareness.
Track 3 · Offensive Operations
Red Team & Adversary Simulation
Goal: Understand and simulate realistic attack chains: initial access, privilege escalation, lateral movement and reporting.
Courses in this track:
- Web Application Penetration Testing (recommended foundation)
- Red Team & Adversary Simulation
- Cloud & Kubernetes Security (optional but strong add-on)
Best for: SOC analysts, security engineers, pentesters, blue teamers wanting an offensive mindset.
Key skills: ATT&CK mapping, AD attack chains, credential abuse, lateral movement, red team report storytelling.
Outcome: Strong foundation to move from defensive roles into red team / offensive security positions.
Track 4 · AI & LLM Security
AI Security & LLM Testing
Goal: Specialise in prompt injection, RAG attacks, jailbreaks and secure design for AI/LLM-based applications.
Courses in this track:
- AI Security & Prompt Injection
- Cybersecurity Fundamentals (optional but recommended)
- Web Application Pentest basics (optional for API + backend context)
Best for: AI/ML engineers, developers building AI features, security testers exploring AI risks.
Key skills: Prompt injection, jailbreak analysis, RAG exploitation concepts, secure AI patterns.
Outcome: Profile suitable for AI security / LLM red team style roles as the field grows.