AI Red Teaming & LLM Security Certified Course

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About Course

The AI Red Teaming & LLM Security Certified Course is an industry-focused program designed to teach learners how to identify, assess, test, and mitigate security risks in AI systems and Large Language Model (LLM) applications. The course covers AI threat modeling, prompt injection, jailbreak testing, data leakage, insecure tool usage, RAG security, adversarial testing, model and application vulnerabilities, AI guardrails, security evaluation, monitoring, and responsible AI practices. Learners gain practical experience performing controlled security assessments of AI applications, developing red-team test scenarios, analyzing vulnerabilities, and implementing defensive controls to build secure, reliable, and production-ready AI and LLM systems.

Key Features of Course Divine:

  • Collaboration with E‑Cell IIT Tirupati
  • 1:1 Online Mentorship Platform
  • Credit-Based Certification
  • Live Classes Led by Industry Experts
  • Live, Real-World Projects
  • 100% Placement Support
  • Potential Interview Training
  • Resume-Building Activities

CAREER OPPORTUNITIES AFTER AI Red Teaming & LLM Security:

  • AI Security Engineer
  • AI Red Teaming Engineer
  • LLM Security Engineer
  • Generative AI Security Specialist
  • AI Penetration Testing Specialist
  • Application Security Engineer
  • Cybersecurity Engineer
  • AI Risk & Security Analyst
  • AI Security Researcher
  • Adversarial Machine Learning Engineer
  • Cloud AI Security Engineer
  • AI Governance & Security Specialist
  • Security Operations Engineer – AI Systems
  • LLM Security Consultant
  • Responsible AI Security Engineer

ESSENTIAL SKILLS YOU WILL DEVELOP – AI Red Teaming & LLM Security:

  • AI Security Fundamentals & Threat Modeling
  • LLM Vulnerability Assessment & Security Testing
  • Prompt Injection & Jailbreak Detection
  • Adversarial Testing for AI Systems
  • RAG Security & Data Leakage Prevention
  • AI Agent & Tool-Calling Security
  • LLM Application Penetration Testing
  • AI Guardrails & Security Controls
  • Model Abuse & Attack Scenario Analysis
  • AI Privacy & Sensitive Data Protection
  • AI Security Monitoring & Incident Response
  • Secure LLM & AI Application Architecture
  • AI Risk Assessment & Security Evaluation
  • Responsible AI & Security Governance
  • Vulnerability Reporting & Remediation Techniques

Tools Covered:

  • OWASP Top 10 for LLM Applications
  • PyRIT
  • Garak
  • Promptfoo
  • MITRE ATLAS
  • LangKit
  • LangSmith
  • NVIDIA NeMo Guardrails
  • Microsoft Azure AI Content Safety
  • AWS Bedrock Guardrails
  • Google Vertex AI Safety & Security Tools
  • Burp Suite
  • Kali Linux
  • Python
  • Docker & Kubernetes

Syllabus:

Module 1: AI Security & Threat Landscape

  • AI/LLM Security Fundamentals
  • AI Threat Modeling & Attack Surfaces
  • OWASP LLM Risks & MITRE ATLAS

Module 2: LLM Vulnerability Assessment

  • LLM Application Security Testing
  • Model, API & Integration Vulnerabilities
  • Security Assessment & Risk Analysis

Module 3: Prompt Injection & Jailbreaking

  • Direct & Indirect Prompt Injection
  • Jailbreak Testing & Adversarial Prompts
  • Detection & Mitigation Techniques

Module 4: RAG & Data Security

  • RAG Architecture & Security Risks
  • Data Leakage & Unauthorized Retrieval
  • Secure Embeddings & Vector Databases

Module 5: AI Agent & Tool Security

  • Agent Tool-Calling Security
  • API, Function & Plugin Security
  • Agent Privilege Escalation & Abuse Prevention

Module 6: AI Red Teaming & Adversarial Testing

  • Red-Team Methodologies & Test Planning
  • Automated Adversarial Testing
  • Vulnerability Discovery & Documentation

Module 7: AI Guardrails & Defensive Security

  • Input & Output Guardrails
  • Content Filtering & Policy Enforcement
  • Secure AI Application Architecture

Module 8: AI Privacy & Model Protection

  • Sensitive Data & PII Protection
  • Model Extraction & Abuse Risks
  • Access Control & Secure AI Operations

Module 9: AI Security Monitoring & Incident Response

  • AI Security Logging & Monitoring
  • Attack Detection & Incident Analysis
  • AI Security Response & Remediation

Module 10: Enterprise AI Security Project

  • End-to-End LLM Security Assessment
  • AI Red-Team Report & Remediation Plan
  • Secure Production AI Implementation

Industry Projects:

  • LLM Application Security Assessment
  • Prompt Injection & Jailbreak Testing Framework
  • RAG Security & Data Leakage Assessment
  • AI Agent & Tool-Calling Security Testing
  • Enterprise AI Red Teaming Platform
  • LLM Vulnerability Detection & Reporting System
  • AI Guardrails & Safety Controls Implementation
  • AI Security Monitoring & Incident Response
  • Secure Enterprise Chatbot Development
  • End-to-End AI Security Assessment Project

Who is this program for?

  • Cybersecurity Professionals and Security Engineers
  • AI/ML Engineers and Generative AI Professionals
  • AI Security & Red Teaming Professionals
  • LLM Application Developers
  • Application & Penetration Testing Professionals
  • SOC Analysts and Security Operations Teams
  • Cloud & DevSecOps Engineers
  • AI/LLM Security Researchers
  • MLOps & LLMOps Professionals
  • Security Architects and Technical Leads
  • IT Professionals transitioning into AI Security
  • Students and Freshers interested in AI & Cybersecurity

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com

🌍 International Students (USD Payments Only)

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  • Full Name
  • Course Name
  • Payment Screenshot / Transaction ID
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Email: info@coursedivine.com
WhatsApp: +91 9100348679.

 
 
 
 
 
 

 

 
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