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Marketing, No Magic
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Course

AI Agents for Digital Marketers

For marketers without programming experience: understand agents technically, use them safely and finish with a limited, tested prototype of your own.

13 modules, 47 lessons ~29 h Prototype lab Author: Veronika Höller

For: digital marketers, SEO, PPC, growth and marketing ops - no programming background needed.

299 €one-time, 12 months access
Buy the courseSee all 13 modulesIncluded in Expert and All Access.
All 13 modules are available in English and German. Practical examples distinguish tested offline exercises from optional live steps that have not been verified.
One-time purchase, 12 months access. Included in Expert and All Access.Details and purchase

The 13 course modules

  1. What separates an agent from a chatbot or a fixed automation, and where agents fail.

    Learning objectives

    • Define agent, tool, memory and loop
    • Tell agents, workflows and chatbots apart
    • Name typical failure modes

    Learning outcomes

    • You can judge whether a marketing task needs an agent at all

What you will learn

  • Understand AI agents and how they work
  • Set up and use Claude Code
  • Build and reuse skills
  • Connect APIs, MCP and marketing tools
  • Build SEO and technical audit agents
  • Audit Google Ads and Microsoft Ads systematically
  • Analyse email segments and draft personalised emails
  • Support landing page and CRO workflows
  • Design automations sensibly
  • Assess security and privacy risks
  • Build and test your own marketing prototype

Who is this course for?

Digital marketers, SEO specialists, PPC managers, growth marketers, marketing operations and other marketing professionals. No programming skills are required; technical concepts are explained step by step.

Security and responsibility

  • API and tool permissions
  • Handling customer data
  • Prompt injection and data leakage
  • Privacy and working with Legal
  • Human approval for critical actions

Practice, not just theory

  • An SEO audit agent
  • A PPC audit workflow
  • An email segmentation process
  • A landing page audit
  • A documented and tested marketing prototype

Requirements and extra costs: exercises run offline with fictional data. Claude Code requires a paid Anthropic plan or API usage. Live connections to Google Ads, Microsoft Advertising, Search Console, GA4 or email tools need your own accounts, partly developer access approval, and may cost extra. These live steps have not been tested by the course team.

Price and access

299 €

One-time payment, 12 months of access. Final amount including any VAT is shown in checkout. Included as long as your Expert or All Access plan is active.

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FAQ

Do I need programming skills?

No. Every technical step is explained in plain language. You will run small scripts and edit configuration files, and the course shows exactly what each command does and what result to expect.

Which tools are covered?

Mainly Claude Code, skills, APIs and MCP, plus Google Ads, Microsoft Advertising, Search Console, GA4 and email tools as integration targets. A comparison track covers ChatGPT/OpenAI, Codex, Microsoft Copilot Studio and Gemini.

Do I need paid accounts?

Not for the core exercises. Using Claude Code itself requires a paid Anthropic plan or API usage. Live connections to ad, analytics or email platforms need your own accounts and may incur costs; the course labels these steps and their costs as external.

Can I complete the exercises with sample data?

Yes. The exercises use fictional sample data and run offline. Optional live steps against real accounts are clearly marked as not tested by the course team.

What is the difference between Claude Code and ChatGPT?

ChatGPT is primarily a chat interface. Claude Code is an agent that works in your project folder, reads and writes files and runs commands with your approval. Module 2 and the platform comparison explain the difference in detail.

Are Copilot and Gemini covered too?

Yes, in the platform comparison track: the same task is solved with Claude Code, ChatGPT/OpenAI, Codex, Copilot Studio and Gemini. Licence requirements for Copilot Studio depend on your company contract.

How are privacy and security handled?

Modules 11 and 12 cover permissions, credential handling, prompt injection, data leakage, GDPR and working with Legal. A legal and security briefing helps you prepare approval. The course provides no legal advice.

How do I build my own prototype?

Module 13 guides you through a limited prototype with tests and a three-signature approval. You document it in the prototype lab. The platform does not execute your code.

How do I get access?

One-time purchase of 299 EUR for 12 months of access, or included as long as you have an active Expert or All Access plan.