Pass OSAI+ Certification Exam With Our Training

OSAI+ Certification is a specialized credential designed for professionals aiming to demonstrate expertise in advanced AI and automation technologies.

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About This Certification

The OffSec AI Red Teamer (OSAI) certification is designed for cybersecurity professionals who want to develop advanced skills in assessing and exploiting modern AI-enabled systems. The associated AI-300: Advanced AI Red Teaming course focuses on practical attacks against generative AI applications, AI agents, multi-agent systems, RAG pipelines, embeddings, AI/ML supply chains, and supporting infrastructure. OSAI preparation helps professionals understand how to identify AI attack surfaces, perform reconnaissance, exploit AI-specific weaknesses, build threat models, and conduct realistic red team engagements against enterprise AI environments. This certification is well suited for red teamers, penetration testers, AI security professionals, security researchers, and offensive security engineers who want to strengthen their skills in modern AI security testing.

Pass OSAI+ Certification Exam With Our Training

What Makes Our Program Different

FeatureOur ProgramCompetitors
Curriculum CoverageAdvanced AI, machine learning, and automation applicationsBasic AI theory only
Practical LearningHands-on projects and real-world simulationsMostly theoretical
Instructor ExpertiseIndustry professionals with real AI experienceLimited practical experience
Hands-on LabsCoding exercises and automation labs includedMinimal or no labs
Exam PreparationFocused guidance for OSAI+ certificationLimited exam support
Career ReadinessPrepares for AI Specialist, Automation Engineer rolesMainly course completion
Learning FlexibilityOnline instructor-led + interactive sessionsFixed or rigid formats

How Certification Transforms Careers

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Primary Focus

OSAI+ certification prepares professionals with in‑depth skills in artificial intelligence and automation technologies, enabling them to design, implement, and optimize AI‑driven solutions across industries.

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Target Job Roles

Common roles include AI Specialist, Automation Engineer, Machine Learning Associate, Data Analyst with AI focus, AI Solution Developer, and AI Operations Specialist.

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Industry Demand

As businesses increasingly adopt AI and automation, demand for certified professionals continues to grow across sectors such as IT, finance, healthcare, manufacturing, and consulting.

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Career Growth

This certification can lead to senior roles such as AI Lead, Automation Architect, AI Consultant, and Machine Learning Engineer, offering strong opportunities for advancement.

  • Master the implementation of AI models and machine learning algorithms for real-world applications
  • Develop and manage AI-driven automation solutions across diverse business processes
  • Analyze data effectively to derive actionable insights and support decision-making
  • Optimize AI workflows and automation pipelines for efficiency and scalability
  • Understand ethical AI practices and ensure compliance in AI solutions
  • Troubleshoot and maintain AI systems to ensure reliability and performance
  • Apply advanced AI techniques to enhance business operations and solve complex problems
  • Integrate AI tools and platforms to deliver end-to-end intelligent solutions

Benefits of OSAI Certification

 

The OffSec AI Red Teamer (OSAI) certification helps experienced cybersecurity professionals develop offensive security skills specifically for modern AI-enabled environments. Unlike traditional penetration-testing training, AI-300 focuses on security risks introduced by generative AI, LLMs, autonomous agents, machine-learning pipelines, vector databases, and AI infrastructure.

 

Through this certification preparation, you can learn how to:

 

  • Identify attack surfaces in AI-enabled environments
  • Perform reconnaissance against AI applications and infrastructure
  • Assess and manipulate AI agents
  • Attack multi-agent systems and A2A communications
  • Exploit RAG pipelines and poisoned knowledge sources
  • Test embeddings for information leakage
  • Assess MCP and AI tool integration security
  • Identify AI/ML supply-chain weaknesses
  • Test cloud-based and containerized AI infrastructure
  • Build threat models for complex AI systems
  • Combine AI and traditional attack techniques
  • Conduct realistic enterprise AI red team engagements
     

OSAI+ Exam Format

 

Exam Detail Information
Certification OffSec AI Red Teamer (OSAI / OSAI+)
Associated Course AI-300 – Advanced AI Red Teaming
Exam Type Hands-on, proctored AI red team exam
Exam Duration 24 Hours
Report Submission Additional 24 Hours
Exam Environment AI-enabled enterprise environment
Total Machines 10 machines
Scored Targets 8 targets
Maximum Score 100 Points
Passing Score 75/100
Attack Structure 2 independent attack chains + standalone AI target
Main Focus AI-focused and traditional attack vectors
Exam Connection OffSec Portal / Tailscale with Kali Linux
Proctoring Yes
Documentation Detailed technical exam report required
Results Within 10 business days

 

OSAI Domain Table

 

Domain / Topic Main Focus
Introduction to Red Teaming AI Systems AI attack surfaces and red team methodology
Reconnaissance for AI Targets Discovering AI assets, models and infrastructure
Attacking AI Agents Prompt, memory, and tool-integration attacks
Attacking Multi-Agent Systems and A2A Protocols Agent impersonation, trust abuse, and workflow attacks
Exploiting RAG Pipelines Knowledge poisoning and retrieval manipulation
Attacking Embeddings Embedding inversion and information extraction
Attacking Model Context Protocol and Tool Surfaces MCP, orchestration and tool-integration abuse
Supply Chain Attacks on AI/ML Systems Attacking datasets, model weights, and dependencies
AI Infrastructure and Deployment Exploits Cloud AI, model servers, and containerized workloads
Threat Modeling for AI-Enabled Targets Assets, trust boundaries and attack paths
Capstone Red Team Engagement Full enterprise AI red team scenario

 

Why Choose PassYourCert for OSAI Certification Training?

 

Preparing for OSAI requires more than understanding AI terminology. Candidates need to connect traditional offensive security knowledge with new attack surfaces introduced by agents, RAG systems, embeddings, AI infrastructure, and model integrations.

 

PassYourCert provides structured OSAI certification training and exam preparation focused on helping candidates understand these technologies and apply them through practical security scenarios.

 

With PassYourCert, you get:

 

  • Structured AI-300 exam preparation
  • Practical AI red teaming concepts
  • Coverage of current AI-300 syllabus topics
  • Scenario-based security exercises
  • Guidance on difficult AI security concepts
  • Practice questions and readiness assessments
  • Focused preparation for the practical OSAI exam
  • Flexible online learning support
     

Our preparation is designed to help you understand how AI systems can be attacked, why vulnerabilities occur, and how multiple weaknesses can be combined during a realistic red team engagement.

 

Start Your OSAI Certification Journey

 

Build advanced skills in AI security, offensive testing, and modern AI red teaming with structured preparation.

Join PassYourCert today and start your OSAI certification preparation with practical AI security training, focused exam guidance, and expert learning support.

What Our Students Say

Amit Sharma

AI Specialist

Passyourcert’s OSAI+ training gave me hands-on experience with real-world AI projects. The labs and exercises helped me understand complex automation workflows deeply.

AI Specialist

Neha Verma

Automation Engineer

The instructors at Passyourcert were extremely knowledgeable and guided us through AI model deployment and workflow optimization. This training boosted my confidence in applying AI solutions at work.

Automation Engineer

Rohan Gupta

Machine Learning Engineer

This course prepared me effectively for the OSAI+ certification. The combination of theory and practical projects made learning engaging and relevant to my job.

Machine Learning Engineer

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