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Complete Course: Semantic Systems Architect (SSA)

This site organizes complete training for the Semantic Systems Architect category: professional who designs computer systems through semantic modeling, structured language and AI orchestration.

Manifesto​

Objective​

Form an SSA capable of:

  • Transform business objectives into AI-executable semantic architectures.
  • Define ontologies, context contracts, agent protocols and evaluation criteria.
  • Design workflows and multi-agent systems with governance, security and observability.
  • Operate the complete cycle: discovery, modeling, assisted implementation, validation and production.

Program structure​

  1. Module 1 - SSA Fundamentals
  2. Module 2 - Semantic Modeling and Ontologies
  3. Module 3 - Agent Architecture
  4. Module 4 - Workflows, Tools and Pipelines
  5. Module 5 - Context Engineering and Structural Prompting
  6. Module 6 - Assessment, Quality and Observability
  7. Module 7 - Security, Governance and Ethics
  8. Module 8 - Product, Operation and Scale

Each module now follows the same instructional pattern:

  • Core concepts (theory and architecture framing)
  • Lesson sequence (guided progression)
  • Applications (hands-on implementation)
  • Rubric and completion checklist (evidence-based assessment)

Suggested workload​

  • Core track theory: 32h
  • Labs and project: 28h
  • Total: 60h

Completion criteria​

  1. Deliver the 3 labs with evidence.
  2. Reach average >= 7.5 in the rubrics.
  3. Present capstone with architecture, metrics and evolution plan.

Specializations by domain​

Practice platform​

Advanced architectures​

AI Economy​

Adversarial security​

Corporate onboarding​

Community and evolution​