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AI Agents for Digital Marketers

Learn how AI agents, Claude Code, skills and MCP work, and build a limited, safely tested marketing prototype yourself - without prior programming knowledge.

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Who it is for

Marketers in SEO, PPC, email, CRO and content who want to understand and safely prototype AI agents.

Prerequisites

A computer (Windows, macOS or Linux) on which you may install software, basic marketing knowledge. No programming required.

All 13 modules

  1. 1. AI agents explained clearly · 3 lessons · ~90 min

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

  2. 2. Claude Code step by step · 3 lessons · ~120 min

    • Install and authenticate Claude Code
    • Write a CLAUDE.md project file
    • Control permissions

  3. 3. Building and reusing skills · 3 lessons · ~100 min

    • Understand the skill format
    • Build a first skill
    • Test and version skills

  4. 4. APIs, MCP and tool connections · 3 lessons · ~120 min

    • Read API documentation
    • Understand MCP servers and clients
    • Handle keys safely

  5. 5. Claude, ChatGPT, OpenAI, Copilot and Gemini compared · 3 lessons · ~80 min

    • Compare agent features
    • Compare data handling
    • Choose by use case

  6. 6. SEO agents and technical SEO audits · 3 lessons · ~140 min

    • Plan an audit agent
    • Use Search Console data
    • Verify agent findings

  7. 7. PPC agents and campaign audits · 3 lessons · ~130 min

    • Define audit checks
    • Use ads APIs read-only
    • Set approval gates

  8. 8. Email segmentation and personalisation · 3 lessons · ~100 min

    • Build segments from data
    • Personalise safely
    • Respect consent

  9. 9. Landing pages, CRO and content agents · 3 lessons · ~120 min

    • Generate test hypotheses
    • Draft and review content
    • Keep quality checks

  10. 10. Marketing automation and workflows · 3 lessons · ~110 min

    • Design a workflow
    • Add triggers and logging
    • Plan error handling

  11. 11. Security and technical risks · 9 lessons · ~300 min

    • Know the main LLM risks
    • Apply least privilege
    • Run a security checklist

  12. 12. Law, data protection and working with legal · 5 lessons · ~170 min

    • Know relevant GDPR and AI Act topics
    • Write a legal briefing
    • Document decisions

  13. 13. Build and validate your own marketing prototype · 3 lessons · ~180 min

    • Scope a prototype
    • Test it with defined cases
    • Document results and risks

Practice projects and prototype lab

40 practice tutorials (Claude Code, marketing skills, APIs/MCP, platform comparison) plus SEO, PPC, email and landing page projects. In the prototype lab you document your own prototype (goal, data, permissions, tests). The lab stores your notes; it does not run code or connect to your accounts.

External accounts and possible extra costs

  • Not included: any third-party account or usage. Claude Code needs a paid Claude plan or API billing from Anthropic.
  • Optional live steps (Google Ads, Search Console, GA4, Microsoft Advertising, email tools) need your own accounts, approvals (e.g. developer token) and possibly fees from those providers.
  • No unlimited API usage, no free third-party access and no integration that works automatically in your company. All exercises can be done offline with sample data.

Access and scope

  • One-time payment, no subscription, no automatic renewal.
  • 12 months of access from the date of payment to all lessons, tutorials, resources, lab and briefing in English and German.
  • Included for active Expert and All Access members as long as their membership is active.
  • Personal use for one account. Author: Veronika Höller.