Claude Certified Associate - Foundations study guide
Claude Certified Associate - Foundations · Work through your exam, one topic at a time.
The Claude Certified Associate – Foundations credential is designed for people who build, ship, or supervise work that relies on Claude as an AI assistant. It is aimed at practitioners rather than researchers: application developers integrating the API, prompt and content specialists, product and operations staff who own AI-assisted workflows, and reviewers responsible for safe, reliable output. The Claude Certified Associate - Foundations study guide has 6 sections and about 1,788 words.
01Claude Fundamentals and Model Landscape
Claude is offered in capability tiers-typically Opus (highest capability), Sonnet (balanced), and Haiku (fastest, lowest cost). Candidates should understand that these are tradeoffs, not a strict ranking for every task: a smaller model that passes your evaluation is usually the better production choice because it reduces latency and cost.
315 words, about 2 min02Prompt Design and Prompt Engineering Techniques
A strong prompt states the task, the input, the constraints, and the required output format. Use a system prompt for durable role and policy, and user messages for the specific request.
306 words, about 2 min03API and Integration Essentials
The Messages API is the core integration surface. A request includes a model, a max tokens value, a system prompt, and a list of messages alternating user and assistant roles.
282 words, about 1 min04Context, Token, and Output Management
Every request has a context window shared by input tokens and generated output. Tokenization is not word-count: punctuation, code, and non-English text often consume more tokens per word.
286 words, about 1 min05Safety, Alignment, and Responsible Use
Claude is trained to be helpful, honest, and harmless. Constitutional AI uses explicit principles to critique and revise outputs, combined with human feedback.
307 words, about 2 min06Evaluation, Testing, and Workflow Integration
Build a representative evaluation set-often 30–100 cases-with clear pass criteria before tuning prompts. Include easy, ambiguous, and adversarial cases.
292 words, about 1 min