Claude Certified Architect - Professional (CCAR-P) Exam Prep

About this course

This course contains the use of artificial intelligence. However, every lecture recording involves me reading the scripts, and I am fully involved in scripting and production. Be careful buying courses with instructors that don't appear in person. AI courses are becoming quite common on learning platforms.

This course is a complete, structured study program for the Anthropic Claude Certified Architect — Professional (CCAR-P) exam. Built domain by domain against the official exam blueprint, it covers every topic area you need to understand before sitting for the exam. Each lesson is a narrated video that explains how concepts connect to each other and to real-world practice, not just what the definition is, but how a practitioner applies it.

D1: Solution Design & Architecture (17% of the exam), covering translate business problems into claude-based ai solutions, align solutions to business value pillars (efficiency, transformation, productivity, cost, performance slas), design end-to-end architectures (input, processing, output, feedback loops), select appropriate architectural patterns (workflow, agentic, augmented llm), design multi-agent systems and orchestration strategies, apply decomposition techniques for complex problem solving. You will understand how each of these areas is tested on the exam and how they connect to real-world practice.

D2: Claude Models, Prompting & Context Engineering (13% of the exam), covering select appropriate claude models based on trade-offs, design system prompts, templates, and guardrails, apply prompt engineering techniques (zero-shot, few-shot, chain-of-thought), optimize context windows and manage token usage, implement prompt reuse strategies (caching, modular prompts, skills). You will understand how each of these areas is tested on the exam and how they connect to real-world practice.

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