Target identity
Become the person who can take GenAI from prototype to platform.
A serious study workspace for the GenAI Architect, Principal or Staff GenAI Engineer, and Head of AI path. Learn platform architecture, RAG, agents, evals, governance, cloud design, and leadership artifacts through focused study pages.
8 focused study pages
6 month execution plan
1 official-source library
Dozens of practice prompts
Professional positioning
I design secure, observable, cost-controlled GenAI platforms that leaders can trust.
AI GatewayEnterprise RAGAgentOpsLLMOps
GovernanceCloud workflowsFinOpsAI strategy
Platform
Gateways, routing, retrieval, workflow control, and observability.
Learning
Mental models, mistakes, practice prompts, and build tasks.
Governance
Risk controls, responsible AI, privacy, auditability, and approvals.
Leadership
Roadmaps, architecture briefs, ADRs, release packets, and influence.
Reference architecture
Production GenAI Platform Blueprint
Product surfaces
assistants, review tools, workflow triggers
assistants, review tools, workflow triggers
API boundary
identity, quotas, request validation
identity, quotas, request validation
AI orchestration
routing, prompts, budgets, retries
routing, prompts, budgets, retries
Knowledge layer
RAG, SQL, search, citations
RAG, SQL, search, citations
Agent layer
tools, state, approval checkpoints
tools, state, approval checkpoints
Model layer
hosted APIs and self-hosted inference
hosted APIs and self-hosted inference
Trust layer
guardrails, ACLs, PII, audit
guardrails, ACLs, PII, audit
Operating layer
traces, evals, dashboards, incidents
traces, evals, dashboards, incidents
Study progress
Track what you have finished
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