DNAi Manufacturing & Operations Systems Architect Certification

Establishes the architect-tier blueprint for AI across a manufacturing enterprise: a layered platform with shared services that spans plants, lines, and the OT/IT divide. Sets the structural decisions that single-line, operator-tier deployments depend on without each plant reinventing them.

• From One Line's Copilot to a Multi-Plant Platform
• Control Plane, Data Plane, Inference Plane Across OT and IT
• The Enterprise Model Lifecycle Across Sites

Treats industrial AI as a new attack and safety surface where a wrong action can move a machine, not just leak a record. Designs the boundaries that keep AI on the right side of the OT/IT divide and never make it load-bearing for a safety function.

• AI on the Right Side of the OT/IT Boundary
• Prompt Injection From Plant Data
• Segmentation by Plant, Line, and Zone

Confronts the reality that enterprise AI lands in a decades-old estate of MES, SCADA, historians, PLCs, and ERP rather than a greenfield. Covers integration patterns, the anti-corruption layer, and reconciling decisions across many systems of record without destabilizing the line.

• AI Meets MES and SCADA: Integration Without Coupling
• The Anti-Corruption Layer and Event-Driven Seams
• Reconciling Decisions Across Systems of Record

Elevates governance from per-line documentation to an enterprise model-risk and accountability framework that a quality auditor, an internal validator, and a plant leadership team can all rely on. Connects AI governance to established quality-management and traceability expectations.

• Model Inventory, Risk Tiering, and Independent Validation
• Independent Validation and Clear Ownership
• Traceability, Explainability, and Accountable Decisions

Treats the AI platform as production infrastructure that must degrade gracefully, plan capacity at the edge and in the cloud, control cost across many sites, and stay controlled when it fails. Closes the architect tier with the non-functional requirements that decide whether the system survives the floor.

• Designing for Graceful Degradation
• Edge, Cloud, Latency, and Provider Resilience
• Unit Economics, SLOs, and Incident Response