LEARNING PATH
INFRASTRUCTURE
Connect models, edge services, data, and voice.
Choose AI providers as operating layers, not a capability table
Design OpenAI, Anthropic, Google, ElevenLabs, Databricks, Vercel, and Cloudflare as model, data, execution, voice, and delivery layers.
Evaluation, safety, and cost design before placing generative AI in production
Connect evidence, authority, recovery, observability, and updates before measuring model cleverness, so answer quality remains reproducible in operation.
Data-connected AI with Databricks: Agent Bricks and Unity Gateway in practice
Design authorization, meaning, audit, and cost before retrieval quality when connecting AI to enterprise data.
AI apps on Vercel: put AI SDK, Gateway, and Workflow at product boundaries
Use Vercel’s agentic-infrastructure announcements to design streaming, tool calls, durable jobs, secrets, and evaluation as one web product.
Edge AI with Cloudflare: boundaries for Workers AI, AI Gateway, and Agents
Design state, authentication, cost, caching, and tool execution separately before shipping edge inference or an AI app quickly.
Voice AI with ElevenLabs: design consent, latency, and verification before voice quality
Learn consent, rights, explicit failure handling, latency, and evaluation for TTS, voice conversation, and dubbing from official ElevenLabs material and practical exercises.
Official announcement watch: return provider updates to product decisions
A 2026-10-04 record of official blog and documentation entry points that keeps announcement dates, observed facts, implications, and unknowns separate.