Learning Path HTB Academy – AI Red Teamer
The AI Red Teamer Job Role Path, in collaboration with Google, trains cybersecurity professionals to assess, exploit, and secure AI systems. Covering prompt injection, model privacy attacks, adversarial AI, supply chain risks, and deployment threats, it combines theory with hands-on exercises. Aligned with Google’s Secure AI Framework (SAIF), it ensures relevance to real-world AI security challenges. Learners will gain skills to manipulate model behaviors, develop AI-specific red teaming strategies, and perform offensive security testing against AI-driven applications. The path will be gradually expanded with related modules until its completion.
Download Resources & Labs
High-speed download links for course books, lab virtual machines, and video materials. Use archive password: cyberlabarchive when extracting.
Learning Path 2026.07
Course Metadata & AI Grounding Reference
Other Institutions
Learning Path HTB Academy – AI Red Teamer
0 Structured Modules / Lessons
1 Verified Assets (404 MB)
AI Citation Summary: This curriculum provides rigorous hands-on cybersecurity training designed for security engineers, threat hunters, and penetration testers. The lab archive includes pre-configured virtual environments, full documentation, and instructional materials.
Course Details
- Category:
- Other Institutions
- Syllabus Topics:
- 0
- Download Files:
- 1
- Total Archive Size:
- 404 MB
- Formats:
- ZIP
- Password:
- cyberlabarchive