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Claude Certified Architect (CCA-F, CCAR-F) - 2026 Exam Prep
Udemy MOOC / Non-credit 0

Claude Certified Architect (CCA-F, CCAR-F) - 2026 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 — Foundations (CCA-F, CCAR-F) 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 — Agentic Architecture & Orchestration (27% of the exam) — covers defining agentic systems — autonomy, tool use, and the action loop, agents vs. workflows vs. conversational systems, when to use agentic architecture vs. simpler patterns, task analysis and decomposition strategies, sequential vs. parallel execution patterns, dynamic planning, replanning, and ambiguity handling, orchestrator-subagent model — roles, scope, and context isolation, multi-agent topology patterns — hub-and-spoke, pipeline, peer-to-peer, agent communication, handoff schemas, and error propagation, state and session management — in-context vs. external memory, error classification — tool, reasoning, and environment errors, fallback and retry strategies, programmatic enforcement vs. prompt-based guardrails, human-in-the-loop escalation design. You will understand how each of these areas is tested on the exam and how they connect to real-world practice.D2 — Claude Code Configuration & Workflows (20% of the exam) — covers claude code architecture — tool system and execution model, project setup, context management, and session continuity, user, project, and team-level claudemd — hierarchy and precedence, path-specific rules, subdirectory config, and .claudeignore, wr

C

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What you'll learn

  • Understand agentic systems and their applications in AI
  • Manage Claude code architecture and project setups
  • Apply task analysis and decomposition strategies
  • Implement error handling and state management principles
Artificial Intelligence #multi-agent systems #context management #error handling #ai architecture #orchestration #project setup #task analysis #agentic systems #claude certification #session continuity
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