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CCAR-P: Claude Certified Architect Professional Prep
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CCAR-P: Claude Certified Architect Professional Prep

Exam-focused prep for CCAR-P: enterprise Claude integration, governance, evaluation, and architecture
Created byAseem Mankotia
Last updated 11/2026
English

What you'll learn

  • Design least-privilege MCP servers that expose legacy and internal systems to Claude safely
  • Select workflow, single-agent, or multi-agent architectures using cost, latency, and quality tradeoffs
  • Choose integration modes (synchronous, event-driven, Message Batches) by SLA and cost constraints
  • Build golden-set and LLM-as-judge evaluation harnesses with regression testing for agents
  • Write governance and safety control sets for regulated and enterprise deployments

Course content

12 sections • 11 lectures • 2h 48m total length
  • The Senior-Architect Remit: CCAR-P Exam Overview11:54

Requirements

  • No Anthropic certification is required as a prerequisite. 3+ years of systems-architecture or platform-engineering experience recommended. 6+ months of production experience building with Claude recommended. Working familiarity with REST APIs, OAuth and identity concepts, and enterprise middleware.

Description

This course contains the use of artificial intelligence.


Claude Certified Architect - Professional (CCAR-P) is the senior, enterprise rung of the Anthropic Claude certification track, built for solution architects, AI/ML engineers, and technical leads who own a Claude solution end to end in regulated or complex environments. This course, built by Aseem Mankotia, delivers structured, scenario-first exam preparation across all seven official domains published in the CCAR-P Exam Guide: Integration, Solution Design and Architecture, Evaluation Testing and Optimization, Governance Safety and Risk Management, Stakeholder Communication and Lifecycle Management, Claude Models Prompting and Context Engineering, and Developer Productivity and Operational Enablement. Domain weights referenced throughout are per the Exam Guide and subject to iteration - always confirm current weighting and pricing on the official Anthropic Partner Academy and Pearson VUE pages before scheduling.


Every chapter mirrors the senior-architect judgment the exam actually tests: given specific compliance, scale, and stakeholder constraints, which design do you choose and how do you defend it. Hands-on labs mirror real enterprise work - designing an MCP-based integration architecture for a legacy system, building an evaluation and regression plan for an agent, writing a governance and safety control set for a regulated deployment, drafting a model-migration and lifecycle plan, and producing a stakeholder decision memo. No prior Anthropic certification is required to sit CCAR-P, though 3+ years of architecture experience and 6+ months of production Claude work are recommended; this course assumes that baseline and uses current terminology including the Claude Agent SDK, MCP, subagents, extended thinking, prompt caching, and Message Batches.


The final chapter walks through a full 63-question, 120-minute timed simulation and explains how the scaled scoring model works, including the requirement to achieve a minimum score of 720 out of 1000 to be certified, so you understand exactly how performance is measured before exam day. Pair this course with the free Anthropic Academy courses as foundational material, and use this program as the structured, exam-aligned preparation layer on top. Aseem Mankotia designed this course specifically for the judgment-heavy, enterprise-scale questions that separate the Professional exam from the Foundations tier.


AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official CCAR-P exam guide.

Who this course is for:

  • Mid- to senior-level technical professionals - solution architects, AI/ML engineers, technical leads, and senior software engineers - who own a Claude solution end to end, especially in regulated or complex enterprise settings. The top rung of the Claude track in this catalog, above CCDV-F and CCAR-F.