AI Red Teaming: Offensive AI Security from Zero to Expert

About this course

The only Arabic AI security course built on real assessments — not theory.

AI systems are everywhere — chatbots, agents, copilots, autonomous tools. Companies are deploying them faster than they can secure them. The EU AI Act now requires security assessments. The NIST AI RMF sets the standard. And the number of professionals who can actually test these systems? Almost zero.

This course takes you from absolute zero to performing full AI red team assessments.

What you'll learn:

• How LLMs, RAG pipelines, AI agents, and MCP tools work — from an attacker's perspective

Prompt injection (direct and indirect), system prompt extraction, and jailbreak techniquesRAG poisoning, embedding inversion attacks, and vector database exploitationMCP tool abuse, supply chain attacks, and serialization exploits

Cloud AI infrastructure attacks: AWS SageMaker, IAM role chains, Kubernetes ML platformsAI threat modeling, professional report writing, and Bug Bounty submissionOWASP LLM Top 10 (2025) and MITRE ATLAS framework mapping

What makes this course different:

Every technique is demonstrated with real findings from actual assessments on ChatGPT, Gemini, and production AI systems reported through Bugcrowd and confirmed by vendors. You'll see the exact prompts, responses, and reports.

Written format — not video. Copy prompts directly. Search instantly. Reference anytime.

Prerequisites: Basic web app and API knowledge, basic Python, basic networking and Linux. No AI/ML background needed we build from zero.

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