Knowledge Hub

Learning Paths

Structured paths for engineers. Not courses to sell — knowledge to teach.

AI Platform Engineer

Design and operate production AI platforms — from inference to observability.

LLMOps RAG Agentic AI Platform Engineering

Cloud Engineer

Multi-cloud architecture, networking, and infrastructure automation at enterprise scale.

AWS Azure Terraform Networking

Platform Engineer

Internal developer platforms, golden paths, and self-service infrastructure.

Kubernetes CI/CD GitOps Developer Experience

LLMOps Engineer

Operationalize LLMs — prompt management, evaluation, monitoring, and cost control.

LangGraph MCP Observability Model Registry

DevSecOps

Security by design for AI and cloud platforms — threat modeling to compliance.

AI Security Zero Trust Compliance Secrets Management

SRE

Reliability engineering for production AI systems — SLOs, incident response, and capacity.

Observability Incident Response Capacity Planning Runbooks

Content for each path is being published progressively. Start with Research and Reference Architectures.

AI is easy. Running it in production is hard.