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AI Architecture
The AI Architecture pathway brings together 8 knowledge assessments within AI & Agentic Systems. Compare subjects such as AI Architect; Agentic AI Architect; Generative AI Engineer; AI Solutions Designer, review their specific coverage and choose the discipline that best matches your knowledge.
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AI Architect
AI solution architecture; data and RAG; integrations; security; quality; cost
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Agentic AI Architect
Autonomy; orchestration; tools; permissions; human-in-the-loop
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Generative AI Engineer
Models; inference; context; integration; evaluation
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AI Solutions Designer
Business objectives; requirements; approach selection; prototyping
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AI Systems Integrator
Model APIs; enterprise systems; data; error handling
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Multimodal AI Engineer
text; images and sound; modality coordination; quality; security
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AI Model Adaptation
fine-tuning; data selection; retraining; comparison with RAG
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AI Inference Optimization
quantization; batching; latency; resources; quality
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A certificate records successful completion of the named assessment under its published criteria.
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The certificate identifies the discipline and the assessment version. It confirms successful testing, without conferring a professional license, academic degree or permission to practice.
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