Claude Certified Architect - Foundations study guide
Claude Certified Architect - Foundations · Work through your exam, one topic at a time.
The Claude Certified Architect - Foundations credential is aimed at engineers, solution architects, and technical leads who design and ship applications built on Claude. It validates that you can reason about model behaviour and limits, write system prompts and prompts that hold up under real inputs, design tool-use and agentic loops that fail safely, manage context and retrieval, apply guardrails, set up evaluation and observability, and operate a deployment in production. The Claude Certified Architect - Foundations study guide has 7 sections and about 2,047 words.
01Claude Fundamentals and Model Capabilities
Understand the Claude model family as a set of capability tiers rather than a single product. Candidates should be able to explain the practical trade-offs among model sizes: the largest models favor complex reasoning, long-form synthesis, and nuanced instruction-following, while smaller/faster models favor latency, throughput, and cost.
346 words, about 2 min02Prompt Engineering and System Prompt Design
Strong prompts are explicit about role, task, constraints, input, and output format. The system prompt sets durable behavior (persona, policies, tone, tool-use rules); user turns carry the task and data.
324 words, about 2 min03Tool Use and Agentic Workflows
Tool use turns Claude into an actor: you declare tools with a name, description, and JSON-schema input; the model may respond with a tool use block containing a tool name and arguments; your code executes it and returns a tool result block in a subsequent user turn; the loop repeats until the model returns a final text answer. This is a client-executed loop - the model never runs code itself.
294 words, about 1 min04Context Management and Retrieval-Augmented Generation
RAG grounds answers in retrieved documents. The pipeline is: chunk documents, embed them, store vectors, embed the query, retrieve top-k candidates, optionally rerank, then assemble a prompt with the retrieved passages and the question.
292 words, about 1 min05Safety, Guardrails, and Responsible AI
Safety is layered: model-level behavior (training and system-prompt policies), input filtering, output validation, and human oversight. Candidates should understand prompt injection - untrusted text in documents, tool results, or user input attempting to override instructions - and mitigations: separating data from instructions, delimiting untrusted content, least-privilege tools, and validating model actions before execution.
257 words, about 1 min06Evaluation, Testing, and Observability
Evaluation answers "is it good enough, and did my change help?" Build a labeled test set that reflects real inputs, including edge cases and adversarial cases. Use a mix of automated checks (exact match, schema validation, keyword/rule checks), model-graded rubrics (LLM-as-judge with explicit criteria), and human review for subjective quality.
275 words, about 1 min07Deployment, Integration, and Production Operations
Productionizing Claude means treating the API as an unreliable dependency. Design for retries with exponential backoff and jitter on rate limits and transient errors, idempotency keys for side-effecting operations, timeouts, and circuit breakers.
259 words, about 1 min