Artificial Intelligence Security · GenAI · LLM · Agentic AI Defense — a 45-day, 120+ hour job-ready program.
Duration
45 Days
Hours
148+ Hrs
Level
Beginner → Advanced
Mode
Live Online + Labs
Credential
TIAISE™
Program overview
Protect AI systems — don't just build them.
The Tutelr Certified AI Security Engineer (TIAISE™) prepares cybersecurity professionals to secure Artificial Intelligence systems, Large Language Models, GenAI applications, AI agents, autonomous systems and enterprise AI deployments.
You'll learn both offensive and defensive AI security through enterprise-grade labs, cloud deployments, real-world attack simulations, secure AI application development, governance, compliance and production monitoring. Unlike traditional AI courses that focus on building models, TIAISE™ focuses on protecting them.
Prerequisites
Networking fundamentals
Linux basics
Python fundamentals
Cybersecurity fundamentals
Basic web security
Course structure
12 modules · 148+ hours · 30+ labs
Every module is topic-driven with a graded lab and a defined set of learning activities. The program closes with a 20-hour enterprise capstone and the TIAISE™ certification exam.
Module 1
8h
AI Foundations for Security Professionals
Level-set on AI, ML, LLMs and the modern GenAI stack before we start breaking it.
Topics
AI evolution, ML & deep learning primer
Neural networks, transformer models & attention
Tokenization, embeddings & vector databases
Prompt engineering fundamentals
OpenAI, Anthropic Claude, Gemini, Llama, Mistral, Hugging Face
Lab:Deploy your first LLM locally.
Live lectureGuided notebookConcept quiz
Module 2
10h
Enterprise AI Architecture
How AI systems actually run in production — infra, serving, gateways and MLOps.
Topics
AI infrastructure, GPUs, Docker & Kubernetes
Model serving & API security
AI gateways and cloud AI platforms
Azure AI, AWS Bedrock, Google Vertex AI
Model registry, MLOps and CI/CD for AI
Lab:Deploy a secure enterprise AI application.
Architecture walkthroughCloud labDesign review
Module 3
12h
LLM Security Fundamentals
Map the AI attack surface using OWASP Top 10 for LLMs and MITRE ATLAS.
Topics
OWASP Top 10 for LLM Applications
AI attack surface & threat modeling
MITRE ATLAS techniques
Secure prompt design & model security
AI supply chain & risk assessment
Lab:Threat model an enterprise chatbot.
Threat-model workshopReading packGroup debrief
Module 4
16h
Offensive AI Security
Red-team LLMs: prompt injection, jailbreaks, data extraction, agent abuse.
Topics
Prompt injection, jailbreaking & role override
Data extraction & indirect prompt injection
Token smuggling & context manipulation
Hallucination & function-calling abuse
Agent manipulation, model enumeration, AI phishing
Lab:Attack multiple LLM applications.
CTF-style labPayload journalRed-team sprint
Module 5
16h
Defensive AI Security
Build the guardrails, filters and firewalls that stop the attacks from Module 4.
Secure the frameworks and APIs powering GenAI products.
Topics
LangChain, LlamaIndex & MCP security
FastAPI and AI API design
Authentication: JWT, OAuth
Secure AI web apps
Secrets management
Lab:Secure an AI-powered SaaS application.
Code walkthroughSecure-design exerciseAPI pentest
Module 9
10h
AI Governance, Risk & Compliance
Align AI programs to NIST AI RMF, ISO 42001 and the EU AI Act.
Topics
NIST AI RMF & ISO/IEC 42001
EU AI Act essentials
AI ethics & responsible AI
Privacy, model governance & AI auditing
AI risk register & enterprise AI policies
Lab:Perform an AI compliance assessment.
Policy authoringCase studyAudit tabletop
Module 10
10h
AI SOC & Incident Response
Detect, hunt and respond to AI-specific incidents.
Topics
AI detection engineering & log analysis
AI SIEM and threat hunting
AI forensics & incident response
AI detection rules & security monitoring
SOAR integration
Lab:Respond to an AI compromise.
Tabletop IR exerciseDetection engineeringRunbook drafting
Module 11
10h
Secure AI Development (AI DevSecOps)
Wire security into the AI SDLC — from commit to production.
Topics
Secure coding & AI SDLC
Secure MLOps and AI CI/CD
Dependency & supply chain security
Model version control
Secure deployment patterns
Lab:Build a secure AI deployment pipeline.
Pipeline build-outSBOM exerciseGuardrail testing
Module 12
20h
Enterprise Capstone
Ship one production-grade project end-to-end and defend it in review.
Topics
Secure Enterprise ChatGPT
AI SOC Assistant
Secure AI Healthcare / Banking Assistant
AI Threat Intelligence / Malware Analysis Assistant
AI Security Copilot or Secure HR Assistant
Lab:Capstone project with instructor review & TIAISE™ exam.
Project sprintMentor reviewsFinal defence
Hands-on labs
30+ practical labs
Prompt Injection LabAI Jailbreak LabRAG ExploitationSecure Prompt EngineeringLangChain SecurityMCP SecurityAI Gateway DeploymentSecure OpenAI APIOllama SecurityLlama.cpp DeploymentVector Database SecurityAI Agent SecurityAI Incident ResponseAI Red Team ExerciseAI Blue Team ExerciseEnterprise AI Assessment
Tools covered
Enterprise AI toolchain
OpenAI APIAnthropic ClaudeGoogle GeminiOllamaHugging FaceLangChainLlamaIndexFastAPIDockerKubernetesChromaDBPineconeWeaviateMLflowAzure AI FoundryAmazon BedrockGoogle Vertex AIMicrosoft Defender for CloudMicrosoft PurviewGitHubGitHub Copilot
Frameworks & standards
Aligned to the standards that matter
OWASP Top 10 for LLM Applications
MITRE ATLAS
NIST AI Risk Management Framework
ISO/IEC 42001
ISO/IEC 23894
Secure AI Framework (SAIF)
OWASP ASVS
MITRE ATT&CK
Career outcomes
Roles you can pursue
AI Security EngineerGenAI Security ConsultantLLM Security EngineerAI Application Security EngineerAI Red Team SpecialistAI Blue Team AnalystAI Security ArchitectAI Risk & Governance ConsultantAI SOC AnalystAI DevSecOps Engineer
