The AI Solutions Architect track covers AI system design, cloud architecture patterns for AI workloads, LLM platform design, enterprise AI deployment, scalability, and cost optimization. Sessions probe architectural trade-offs and decision rationale.
The AI Solutions Architect track covers AI platform design, cloud architecture for GPU workloads, LLM inference infrastructure, enterprise AI governance, security and compliance for AI systems, and stakeholder communication for technical AI decisions.
If you propose an architecture, Alex follows up on your trade-off reasoning — why you chose a specific cloud service, how you would handle scale, and what the failure modes are. Architect-level sessions probe both technical depth and communication clarity.
Yes. The AI Solutions Architect track is calibrated for candidates with a cloud architecture background expanding into AI. It combines cloud architecture depth with AI system design and LLM platform expertise.
Voice-first, fully dynamic, and calibrated to your target level. Free to try.
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