Many social media teams rely on AI for isolated tasks like caption drafting or basic brainstorming. Over a comprehensive one-day session featuring interactive exercises, you'll learn to install and configure the Claude Cowork desktop application. We focus on developing persistent brand-voice documents, designing content production pipelines for multiple platforms, and setting up automated workflows for reporting and scheduling.

Who Should Attend

This course is designed for social media professionals looking to scale content production with AI while maintaining quality and brand consistency. It's particularly valuable for managers, content leads and marketing teams seeking to build repeatable workflows, automate processes and move beyond one-off prompting to more mature AI-powered operations.

Prerequisites

A basic familiarity with AI applications is recommended. Attendees must bring a laptop with the Claude Desktop application installed (setup guidance will be provided prior to the session).

What You’ll Learn

  • How to install and configure Claude Cowork for social media content production

  • Techniques for creating brand context files that ensure consistency across AI-generated outputs

  • Methods for building content production systems using Skills, templates and reusable workflows

  • How to transform a single content brief into a multi-platform content calendar

  • Ways to automate scheduling, publishing, reporting and competitor monitoring workflows

  • Frameworks for implementing human review processes and governance controls that support content quality and safety

Tools used

Claude.

Course Agenda

  • What’s included:

    • Transitioning from simple prompting to architectural AI systems.
    • Workspace configuration and desktop app installation.
    • Integration of MCP connectors for live data access.

    Learning outcomes:

    • Ability to build a persistent brand context document for unified output.
    • Creation of custom brand-voice Skills within the workspace

    Tasks:

    • Execute a full workspace setup and connect primary data sources.

Why our approach works

Measurable impact

Measurable impact

Track the return on learning investment through greater efficiency, productivity and cost savings.

Applied learning

Applied learning

Prioritize practical value, business needs and measurable outcomes when evaluating and applying AI solutions.

Get in touch

For further information about the content we cover and how we can help your business with our AI learning, our team is here to help.