Library / Artificial Intelligence
Claude Certified Architect-Professional (CCAR-P) 6 Exams
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About this course
Prepare for the Anthropic Claude Certified Architect – Professional (CCAR-P) Exam 2026 with a comprehensive bundle of full-length practice tests designed around the official exam domains and weighted blueprint.
The practice exams cover all seven CCAR-P domains. Solution Design & Architecture focuses on translating business problems into Claude-based solutions, aligning architecture with business value, designing end-to-end systems, selecting workflow, augmented LLM, and agentic patterns, and applying multi-agent orchestration and decomposition strategies.
Claude Models, Prompting & Context Engineering covers model selection, system prompts, guardrails, zero-shot and few-shot prompting, context-window optimization, token management, prompt caching, modular prompts, and skills.
Integration explores tool and agent configuration, authentication and authorization, RAG architecture, chunking and indexing, retrieval strategies, MCP, APIs, CLI integrations, agent-to-agent communication, observability, and progressive tool discovery.
Evaluation, Testing & Optimization covers evaluation metrics, test datasets, A/B testing, diagnosing hallucinations and prompt failures, model selection, token and latency optimization, cost-performance trade-offs, logging, and monitoring.
Governance, Safety & Risk Management addresses guardrails, LLM limitations, failure modes, human-in-the-loop controls, compliance considerations such as GDPR, HIPAA, and FedRAMP, and responsible AI principles including fairness, transparency, and bias.
Stakeholder Communication & Lifecycle Management covers requirements discovery, architectural trade-offs, stakeholder alignment, SLA expectations, documentation, implementation guidance, handoff, monitoring, and continuous improvement.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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