Library / Artificial Intelligence

CCAR-P Exam Prep: Claude Certified Architect Professional

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About this course

This course is the full published prep for the Claude Certified Architect Professional exam. Sixteen lectures, one lecture per domain topic, plus four production failure tear-downs and a full worked-questions lecture.

Foundations asked whether you could build a Claude system. This tier asks whether you should have built it that way, and whether you can defend the call when someone senior pulls it apart. Every domain lecture opens on a real production incident an architect had to own, teaches the mechanism behind it, then works exam-style questions against it.

What the course covers, weighted the way the published blueprint weights it:- Solution design: pattern selection, decomposition, end-to-end architecture, multi-agent trade-offs and business value- Models, prompting and context: model choice, prompt caching, context budget, prompt reuse- Integration: MCP against a plain API against agent-to-agent, capability bloat, auth gaps, RAG pipeline design, observability at scale- Evaluation, testing and optimization: metrics, golden sets, A/B testing, diagnosis trees, cost work- Governance, safety and risk: guardrails, failure modes, human-in-the-loop, GDPR, HIPAA, FedRAMP- Stakeholder communication and lifecycle: discovery, trade-off narration, SLAs for probabilistic systems, handoff- Developer productivity: team configuration for Claude Code, guidance against enforcement- Four production failures taken apart end to end, twelve worked questions in one lecture, and exam-day tactics

Why this course exists. Question banks for this exam already existed. Nobody was teaching the material. There is no official practice exam for the Professional tier, so there is nothing official to rehearse against. As far as I can find, this is the first complete taught course for it.

The practice questions in this course are original, written in the style of the published blueprint.

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