Claude Certified Developer - Foundations case studies
Claude Certified Developer - Foundations · Put your knowledge to work in context.
The Claude Certified Developer – Foundations credential is intended for developers who build applications on top of Anthropic's Claude models and want a structured way to demonstrate that skill. It suits backend and full-stack engineers, AI application developers, and technical leads who are moving from experimenting with the API to shipping something reliable. The Claude Certified Developer - Foundations case studies are 5 cases and about 4,696 words.
13% truncated JSON and a 40% input-token spike
A document-extraction service turns inbound support tickets into structured JSON for a ticketing system. It runs about 12,000 tickets a day on a small fast model, one request per ticket, with max tokens set to 512.
915 words, about 5 min271% agreement on a six-way classification
A revenue-ops team classifies inbound sales emails into six pipeline stages plus a three-level urgency. The current prompt is a 400-word paragraph in a user message, followed by three few-shot examples that are all labelled Stage 3 / Medium.
937 words, about 5 min3A refund agent that always calls a tool
A support agent has four tools: get customer (read), search kb (read), issue refund (write, capped at $500 by policy), and escalate (write). The harness executes every tool use block the model returns, but it returns only the first result per assistant turn, wrapped in a single tool result block.
1,002 words, about 5 min4The agent that runs 40 steps and returns nothing
A research agent answers analyst questions by looping: think, search internal documents, optionally call a calculator, repeat until it decides it can answer. The median run is 6 steps.
940 words, about 5 min5A prompt cache with a 2% hit rate
A policy Q&A assistant assembles each request as follows: a freshly generated header containing the current date, time, and the user's account summary (name, plan, region, open ticket count); then a 6,000-token style guide; then a 3,000-token block of tool definitions; then roughly 20,000 tokens of retrieved policy excerpts; then the user's question. Traffic is about 50 requests per hour during business hours, near zero overnight.
902 words, about 5 min