NCA-AIIO certification preparation
This certification focuses on what actually changes when infrastructure is built to support AI workloads — not just running models, but operating the systems that make them reliable, scalable, and efficient.
As AI becomes a production concern for infrastructure and operations teams, this programme strengthens my ability to reason about GPU architecture, accelerated networking, orchestration, and operational trade-offs.
This learning directly supports my role in operations by ensuring I remain fluent in the infrastructure platforms and operational considerations that increasingly underpin customer-facing and internal systems.
Context
This week establishes the mental models needed to reason about AI infrastructure, focusing on terminology, architectures, and why AI workloads stress systems differently.
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Context
Focus on how AI workloads map to physical hardware and what changes when GPUs are introduced at scale.
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Explores the networking and data movement challenges unique to AI training and inference environments.
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Shifts from infrastructure design to day-2 operations: monitoring, orchestration, and efficient resource usage.
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Focused consolidation to ensure concepts are understood holistically and can be explained clearly under exam conditions.
Activities