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Advanced · 5h 49m · 22 lessons

Build with the Claude API

Go from a blank file to a working AI feature, one Claude API call at a time.

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What you'll learn

  • ✦Explain how the Claude API differs from a chat app, and what you gain by calling it directly
  • ✦Construct a well-formed messages array with system, user, and assistant roles
  • ✦Tune parameters like max_tokens and temperature to control a reply's length and randomness
  • ✦Build a multi-turn conversation by resending the full message history on every call
  • ✦Stream a response, call a tool, and request structured JSON output
  • ✦Keep an API key secret, and handle errors, rate limits, and cost like a production app should
  • ✦Use prompt caching and the Batch API, and add image and long-document input
  • ✦Build a small agent loop, evaluate an AI feature's quality, and ship it with a launch checklist

Part of these career paths

Certification projects

Build 4 projects to earn your certificate

Hands-on work that proves you can apply what you learned — part of the certificate requirements.

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Syllabus

Module 1 · 1h 3m
Meet the Claude API Free
What you'll be able to do
  • Can explain why the API has no built-in memory, unlike Claude.ai's chat window.
  • Can pick a model for a task and store its API key safely.
  • Can send a first Messages API request and read the model, text, and usage back from the response.
  • Can install and call the official Python or TypeScript SDK instead of raw curl.
Module 2 · 1h 8m
Requests & responses Pro
What you'll be able to do
  • Can build a valid messages array that alternates user and assistant turns correctly.
  • Can write a system prompt that sets a persona, rules, and context once for the whole call.
  • Can choose max_tokens and temperature to fit a task, from deterministic extraction to creative writing.
  • Can read stop_reason, content blocks, and usage from a response to know what happened and what it cost.
Module 3 · 1h 16m
Building real features Pro
What you'll be able to do
  • Can maintain a multi-turn conversation by resending the growing history on every call.
  • Can turn on streaming so replies render word by word instead of all at once.
  • Can define a tool schema and handle a tool_use request by running the real function.
  • Can get reliable JSON back using prompt-based or forced tool-call structured output.
Module 4 · 1h 2m
Production concerns Pro
What you'll be able to do
  • Can classify an HTTP error and decide whether to retry it with backoff or fix the request.
  • Can plan around requests-per-minute and tokens-per-minute limits before hitting them.
  • Can track input and output tokens to keep an API bill predictable.
  • Can keep an API key server-side only, and knows what to do if one leaks.
Module 5 · 40m
Going further Pro
What you'll be able to do
  • Can decide when a fixed prompt chunk is worth marking as cacheable.
  • Can choose the Batch API over a real-time call for large, non-urgent jobs.
  • Can send an image or a long document and explain why extra context still costs tokens.
Module 6 · 40m
Ship an AI feature Pro
What you'll be able to do
  • Can build a bounded reason-act-observe agent loop around tool use.
  • Can assemble an eval set to measure an AI feature's quality before users do.
  • Can check a feature against a launch checklist before it goes live.

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