Semantic Systems Architect

Learning path

A structured progression from first principles to production-ready systems.

Eight modules from foundations to production: semantic modeling, agent architecture, workflows, context engineering, evaluation, security, and scale.

Three hands-on labs plus four reusable architecture templates. Build real systems, not toy examples.

Assessment rubrics across six dimensions and a capstone project to prove production readiness.

Apply SSA principles to real industries with dedicated ontologies, constraints, and labs.

Clinical triage, safety guardrails, HIPAA constraints, and escalation protocols.

Contract analysis, clause classification, risk scoring, and jurisdictional rules.

Ticket classification, SLA management, escalation logic, and churn prediction.

Deep dives into production concerns that every SSA must master.

RAG in production: ingestion, retrieval, reranking, evaluation, and operations.

Cost models, unit economics, technical optimization, and FinOps governance.

Threat models, attack catalogs, red teaming, adversarial evals, and incident response.

Adoption models, 30-60-90 plans, internal academies, and impact metrics.

SSA is not a proprietary framework. It is a public discipline with shared standards, community governance, and a transparent roadmap.