You already make the calls this exam asks about — where to put a tool boundary, when context is the bottleneck, what fails first under load. The gap is that nobody outside your team has seen you make them. CCAR-F is scenario-based for exactly that reason: 5 domains, 60 items across 4 real-world scenarios, 120 minutes. This is the structured path to it.
All facts sourced from the official Anthropic Claude Certification Program exam guide.
You will know which of the 5 domains your own design work already covers and which one needs deliberate study. Coverage maps to the domain weights in the official Anthropic exam guide — nothing skipped, nothing invented.
Agentic loops (stop_reason handling), multi-agent coordinator-subagent orchestration, subagent invocation and context passing, multi-step workflows with hooks and prerequisite gates, task decomposition strategies, session state (resume/fork).
Effective tool interfaces (descriptions, boundaries, error metadata isError + errorCategory + isRetryable), tool distribution across agents, tool_choice configuration (auto/any/forced).
Claude Code integration for team workflows — CLAUDE.md files, Agent Skills, MCP server integrations, custom slash commands, plan mode vs direct execution, CI/CD integration.
Engineering prompts for reliable structured output — JSON schemas, few-shot examples, extraction patterns for unstructured documents.
Managing context windows across long documents, multi-turn conversations, multi-agent handoffs, escalation and reliability decisions (error handling, human-in-the-loop, self-evaluation).
The exam draws 4 real-world scenarios at random from a bank of 6, per the official exam guide. You will have worked through all 6 scenarios, so whichever four come up, none of them is new.
Every scenario walkthrough maps back to primary blueprint domains and the specific task statements those questions target.
Sit 10 full-length sets until the clock stops being the hard part, then use the Quick Recap Guide to close whatever the results expose — every domain condensed into decision-ready notes. Both included — fully live now.
Structured, blueprint-aligned quick recap guide walkthroughs covering all 5 content domains at the depth reflected by the official exam weights. Every concept mapped back to the task statement it teaches.
Ten full-length practice test sets written to match the Anthropic exam item style, cognitive level, and domain weight distribution. Every question has a detailed answer rationale so you learn the reasoning, not just the answer.
Both assets ship together in one premium prep. Free updates when Anthropic publishes a new version of the CCAR-F blueprint.
Two lists. Read both honestly — a five-minute check now saves weeks later.
By exam day you can defend every capability the Anthropic exam guide lists for this credential, and back each one with a system you have actually shipped.
Design and implement agentic loops for autonomous task execution
Orchestrate multi-agent systems with coordinator-subagent patterns and hub-and-spoke architecture
Configure subagent invocation, context passing, spawning, and parallel Task tool calls
Implement multi-step workflows with programmatic enforcement, prerequisite gates, and handoff patterns
Apply Agent SDK hooks (PostToolUse, tool-call interception) for compliance and data normalization
Design task decomposition strategies — prompt chaining vs adaptive decomposition
Manage session state, --resume, fork_session, and reliable session hand-off
Design tool interfaces with clear descriptions, structured error responses, and appropriate tool distribution
Configure Claude Code for team workflows — CLAUDE.md, Agent Skills, MCP server integrations, plan mode
Engineer prompts for structured JSON output — schemas, few-shot examples, extraction patterns
Illustrative question themes drawn from the exam guide, showing the cognitive level our practice tests are written to match.
Every practice question is grounded in a realistic Claude usage scenario. Sample themes drawn from the official exam guide include:
All practice tests are fully live. Premium, blueprint-aligned prep with instant portal access on enrol.
10 blueprint-aligned practice test sets + Quick Recap Guide. Free updates when Anthropic updates the blueprint. Independent prep by Manifold AI Learning.
Premium exam prep pricing. Not official Anthropic training. Does not guarantee certification. Official exam fee is paid separately to Pearson VUE per Anthropic's certification policy.
This is an independent exam preparation program by Manifold AI Learning. Claude, Anthropic, and the Claude Certification Program are trademarks of Anthropic PBC. This course is not official Anthropic training and does not guarantee certification. The official CCAR-F exam fee ($125 USD) is a separate payment to Pearson VUE and is not included in this prep bundle. Blueprint accuracy is based on the exam guide version 1.0 effective July 2026; if Anthropic updates the blueprint, you will receive a free content refresh.
No. This is an independent exam preparation program by Manifold AI Learning. Claude, Anthropic, and the Claude Certification Program are trademarks of Anthropic PBC. You should review the official Anthropic exam guide and register for the exam directly through the Anthropic Partner Academy and Pearson VUE.
No. This program is designed to support structured preparation aligned to the published blueprint, but certification outcome depends on your own preparation, background, and Anthropic's actual exam requirements at the time of your attempt.
You get the full exam prep quick recap guide covering every domain in the CCAR-F blueprint, plus 10 blueprint-aligned full-length practice test sets with detailed answer rationale. You also get free updates when the blueprint changes.
Instant portal access on enrol. All 10 practice test sets and the Quick Recap Guide are live now — start preparing immediately after payment.
This is a prep-only program, not the official exam. Anthropic charges the $125 USD fee for the actual CCAR-F exam through Pearson VUE. Our prep bundle sits alongside it — helping you get ready before you sit for the real exam.
You get free content updates. If Anthropic publishes a new version of the exam guide with revised domain weights, task statements, or scope, we refresh the practice test sets and Quick Recap Guide and you receive them at no additional cost.
The Anthropic exam guide's recommended experience says: Solution architects, AI/ML engineers, technical leads building production applications with Claude. Prerequisites are recommended but not mandatory — Anthropic awards the credential based on exam performance alone.
Registration is handled directly through the Anthropic Partner Academy and Pearson VUE. Our program prepares you for the exam — the actual booking and delivery is with Anthropic's official partners.
A Quick Recap Guide across all 5 domains + 10 exam-style practice test sets. Free updates when Anthropic updates the blueprint. Independent prep by Manifold AI Learning. The credential proves the vocabulary; the Forward Deployed AI Engineer Residency — founding cohort starts 1 September 2026 — is where you put it in front of a client.
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