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Advanced Marketing Automation with Claude

Build a tested Python pipeline around Claude: typed outputs, batch jobs and cost caps, grounded drafts, tool use, approval queues, scheduling, evaluations and governance.

Advanced 10 lessons ~104 min Free

Advanced Marketing Automation with Claude course cover

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Who this course is for

Marketers, founders and operators who already use Claude every day and now want automations they can trust: repeatable, tested, cheap to run and safe to leave on a schedule.

You do not need to be a professional developer. You do need to be comfortable running a Python script and reading a few dozen lines of code.

What you will build

A small Python project, developed lesson by lesson, that:

  • classifies leads into typed, validated labels and writes failures to a file,
  • redacts personal data before a prompt is built,
  • batches large jobs and estimates cost before running,
  • grounds drafts in your own content and checks the citations,
  • lets Claude call narrow tools with a step limit,
  • holds every outbound message in a human approval queue,
  • runs on a schedule with a log and alerts, and
  • is scored on a hand-labelled golden set before any change ships.

Download

mkt_pipeline.zip: the finished project with code, 23 offline tests and fictional sample data.

How the course works

Every lesson has a diagram, working code, a test you can run without an API key, a worked example and a checklist. The code was run against a scripted fake client; the calls that need your key are written to match Anthropic’s current documentation and marked where you must check names, prices and limits yourself.

Prerequisites

  • Completed Automation Marketing with Claude, or equivalent daily use of Claude
  • Python 3.10 or later, and a terminal
  • An Anthropic API key for the lessons that call the live API (lessons 3, 4, 6 and 8 run end to end with one; everything else is testable offline)
  • Honest expectations: model names, prices and features change often, so treat the linked documentation as the source of truth

Curriculum

Module 1: Systems

  1. System design for marketing operations — Design every automation from the same eight parts, and decide what must never run unattended. (9 min)
  2. Prompts for pipelines: small steps and strict outputs — Split work into steps, give each a narrow job, and make outputs predictable enough for code. (9 min)

Module 2: Data and pipelines

  1. The Claude API and structured output — Call the API from Python, get typed results, retry safely, and test it all without a key. (12 min)
  2. Batch jobs, cost control and prompt caching — Process thousands of items cheaply and know what a run will cost before you start it. (11 min)
  3. Your content as a source: grounded drafts — Make drafts cite your own material so claims have a source and brand facts stay correct. (9 min)

Module 3: Agents and orchestration

  1. Tool use and MCP: let Claude call your functions — Give Claude narrow, read-first tools, handle errors safely and cap the number of steps. (12 min)
  2. The human approval queue — Hold every outbound draft in a queue, with a history, until a named person approves it. (9 min)
  3. Scheduling and monitoring — Run jobs on a schedule without double runs, silent failures or surprise bills. (10 min)

Module 4: Quality and governance

  1. Evaluations and A/B tests for prompts — Measure quality with a hand-labelled set so you can change a prompt or model without guessing. (11 min)
  2. Governance, privacy and your capstone project — Put consent, redaction, retention, audit and cost caps around the system, then ship one pipeline. (12 min)