For senior engineers and architects moving into AI
Bring your experience to AI.
A profession, not a certificate. Build on the years you already have and learn to design, ship, and operate production AI systems across Anthropic, AWS, and Cloudflare.
Cert checkpoints — CCA-F · AIP-C01 · CAPA — prove it. They are not the point.
You already ship production systems.
What you are missing is the AI-native layer: the agentic loop, evals, cost and routing, the trust boundary, deploying models across clouds. Most courses start from zero and waste your time. This one assumes the years you already have.
Who it's for
Where you start, where you land.
AI engineer / architect
Add the AI-native design layer on top of strong engineering.
AI platform engineer (AgentOps)
Run agents in production — observability, cost, reliability.
AI architect on Bedrock
Translate cloud architecture into GenAI architecture.
AI architect (fastest conversion)
Your systems thinking transfers almost directly.
The profession, not a skill
What an AI engineer/architect actually does.
These are the jobs you will be able to do — not a list of exam topics.
- Design an agentic system — the loop, orchestrator and sub-agents, tool boundaries — and justify the pattern.
- Design and run an eval suite — the single biggest "actually shipped" signal.
- Cost-model a multi-turn agent and build a model router (Opus→Sonnet→Haiku) with prompt caching.
- Threat-model against the OWASP LLM Top 10, especially LLM06 Excessive Agency.
- Deploy and operate on all three platforms — Bedrock/AgentCore, Claude + Agent SDK + MCP, Cloudflare edge.
- Scope AI regulatory obligations into a design — risk-tier a system across the EU AI Act and the US patchwork, and pin the retention, training-use and inference-region terms that decide whether a build is lawful.
How it sticks
Built so it stays in your head.
Mastery-based, not time-based
Advance on demonstrated competence — an 80% rolling accuracy gate fronts each module.
Spaced retrieval
An SM-2 scheduler resurfaces questions right before you would forget them.
A senior-calibrated AI coach
Haiku for hints, Sonnet for tutoring, Opus for mock interviews.
Provenance
Every question cites its source. We never invent exam content.
Checkpoints
The certs evidence the profession.
Certs are checkpoints, not the destination — the destination is the job.
CCA-F
Anthropic · Claude Certified
Pass 720 / 1000- D1 Agentic Architecture27%
- D2 Tool Design & MCP18%
- D3 Claude Code Config20%
- D4 Prompt Eng & Structured Output20%
- D5 Context & Reliability15%
AIP-C01
AWS Certified AI Practitioner
Pass 750 / 1000- D131%
- D226%
- D320%
- D412%
- D511%
CAPA
Cloudflare AI Platform · Academy credential
Practical capstoneNo official Cloudflare AI certification exists yet. CAPA is a synthesized Academy credential with a mandatory practical capstone — we say so honestly rather than imply an exam that does not exist.
Curriculum
One integrated path, not a bundle of courses.
2 modules live today — building in public- Track 0Mindset Shift3 modules
- Track AThe Bridge5 modules
- Track BAgentic Systems — the core9 modules
- Track CAnthropic Deep Dive8 modules
- Track DAWS GenAI Architecture11 modules
- Track ECloudflare AI Platform7 modules
- Track FIntegrative Capstone & Interview5 modules
- Track GAI Regulatory & Compliance Architecture6 modules
- Total54 modules8 tracks
From the founder
Built in public, by someone doing it.
I'm Wibo, an engineer in Amsterdam. I'm becoming an AI architect by building the platform that teaches it — the build is the curriculum. Everything here is what I'm learning to design, ship, and operate, shared as I go.
— Wibo · Amsterdam, NL
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