Practitioner-led programmes in Cloud Security Engineering, Applied GenAI, and Pure LLM Engineering — from CSPM rule design to building your own agents, taught by a 19-year cloud security architect.
Each track stands alone — or stack them to build complete cloud security intelligence + AI engineering capability.
Hands-on CSPM rule authoring, CIEM posture analysis, CWPP runtime controls, and compliance mapping across CIS, PCI-DSS, MAS TRM, and QCB frameworks on AWS.
Build LLM-powered security agents, design agentic remediation flows with LangGraph, integrate RAG pipelines for policy Q&A, and deploy MCP servers for tool-augmented reasoning.
No security context required. A standalone deep-dive into LLM fundamentals, prompt engineering, RAG, agent design, skill generation, LangChain, and LangGraph — for any domain.
Drift detection with time-series ML, anomaly scoring via vector embeddings, predictive risk surfaces, and real-world architecture from the FORESIGHT add-on built on QuestDB and Qdrant.
A complete, standalone curriculum covering everything from how transformers work to building production-grade multi-agent systems. Whether you're a developer, data engineer, product manager, or architect — this track takes you from first principles to shipping real AI applications using LangChain and LangGraph.
Topics Covered
Understand what LLMs actually are — attention heads, context windows, temperature, top-p, and why models hallucinate. Build a mini-LLM from scratch in NumPy to demystify the math.
Master the craft of prompting — zero/few-shot, chain-of-thought, structured outputs with XML, and building reusable prompt skill libraries that your entire team can use.
Build a full RAG pipeline from ingestion to generation. Learn chunking strategies, embedding models, vector stores (Qdrant, Chroma, FAISS), and reranking for precision retrieval.
Go from LangChain basics to building complex chains with tool use, conversation memory, custom retrievers, and streaming responses. Ship a real Q&A application by end of module.
Design and build stateful, graph-based agent workflows with LangGraph. Implement loops, conditional branches, human-in-the-loop interrupts, and parallel node execution.
Architect multi-agent systems where specialised agents collaborate, delegate, and share state. Build Model Context Protocol servers to expose external tools to any LLM orchestrator.
No slides-only theory. Every module ships a working artefact — a rule, an agent, a model, or a dashboard.
Design and implement CSPM rules covering IAM, S3, EC2, VPC, Lambda — with real-time evaluation logic in Go.
Build a Claude-backed agent that reads findings, reasons about blast radius, and drafts remediation tickets autonomously.
Map privilege escalation paths, overpermissioned roles, and cross-account trust chains using graph analysis.
Ingest your AWS Config, SCPs, and compliance docs into a vector store. Answer natural language policy questions in seconds.
Stream CloudTrail events into QuestDB, compute deviation scores, and alert on anomalous config changes before they become incidents.
Build Model Context Protocol servers that expose nmap, IAM analyser, and Terraform linters as tools to an LLM orchestrator.
Auto-generate evidence packs for CIS, SOC 2, MAS TRM, and QCB from live AWS environments — no manual screenshots.
Train a lightweight model on historical finding patterns to surface tomorrow's likely misconfigurations today.
This is not an intro course. It's for engineers who already work in the cloud and want to operate at a higher level.
Embed security intelligence directly into your design patterns and architecture reviews.
Go beyond detection — build AI-augmented systems that reason, prioritise, and remediate.
Add security guardrails and preflight intelligence to your CI/CD and IaC pipelines.
No security background needed for the GenAI track — build agents and ship AI features from day one.
Understand how AI-driven CSPM tools produce evidence and how to evaluate their outputs.
19 years working at the intersection of cloud infrastructure and security engineering. Builder of Perimeter Cloud — a multi-product CSPM/CNAPP platform with 476+ AWS security rules, an AI-powered preflight engine, and a predictive ML add-on targeting regulated markets in Singapore and Qatar.
Drop your email to get notified when enrollment opens — and receive the free Cloud Security × GenAI reading list.
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