This module shows you how to work with marketing data at the code level instead of manually in spreadsheets. You will examine why dashboard exports and spreadsheet workflows break down at scale, and apply a framework for turning raw campaign data into decisions. Through hands-on work you will connect Claude Code to campaign and analytics exports, automate recurring performance reports, and build a competitor-tracking script you can reuse across accounts.

This module focuses on producing on-brand copy at scale without losing editorial control. You will explore how Claude Code interprets instructions in content workflows, and how to encode brand voice, tone rules, and guardrails so generated copy stays consistent. You will then build three working tools: a blog-post generator, an ad copy variant generator for Google and Meta, and an email sequence generator you can adapt to your own campaigns.

This module extends automation from single assets to full campaign workflows across channels. You will learn how SEO, social, and email tasks connect into multi-step automations, and how to design them reliably using approval steps, guardrails, and version control. Hands-on work covers an automated SEO content audit, a social media content pipeline, and automated QA and personalization checks for email campaigns, culminating in a cross-channel campaign launch automation.

This module addresses the strategic and human side of AI-assisted marketing: turning briefs into repeatable systems and getting buy-in for the results. You will apply a framework for translating a creative brief into a structured prompt chain, use rapid prototyping to generate and compare A/B test variants, and document an automation clearly enough for a colleague to take it over. You will also practice presenting AI-built work to non-technical stakeholders and defending your reasoning.

This closing module places your new skills in a wider context and prepares you to keep using them responsibly. You will examine where agentic AI tools are heading in marketing, what their current limits are, and which security, privacy, and data-handling risks matter when connecting AI tools to client and company data. You will finish by consolidating what you have built and planning how to apply Claude Code to your own marketing work.