Claude Cowork for Digital Marketing
About This Course
This hands-on course equips digital marketers with the skills to use Claude Cowork as an intelligent workspace for content production, system integration, workflow automation, and marketing performance analysis. Participants will learn how to connect Claude Cowork with various Model Context Protocol (MCP) tools, enabling it to access business applications, marketing platforms, documents, data sources, and other digital systems within a unified workflow.
Learners will create reusable Claude Skills based on real-world marketing tasks, transforming proven work processes into repeatable AI-assisted workflows. These skills can support activities such as market research, campaign planning, audience profiling, SEO content creation, social media posts, email campaigns, advertising copy, content calendars, and marketing reports. Participants will also learn how to provide clear instructions, reference materials, brand guidelines, and quality criteria to produce consistent, brand-aligned content.
The course further explores how Claude Cowork can consolidate campaign data, analyze key marketing metrics, identify performance trends, and generate actionable recommendations. Through practical exercises, participants will build integrated digital marketing workflows that reduce repetitive work, improve content quality, and support faster, data-driven decisions. By the end of the course, learners will be able to use Claude Cowork, MCP tools, and custom Skills to create a scalable and efficient AI-powered digital marketing system.
What You'll Learn
LO1: conduct a compatibility assessment and utilise essential tools to integrate with other systems.
LO2: test system components and identify integration errors.
LO3: propose potential changes through versioning and apply the best practices for integration.
Course Outline:
Topic 1: Integrating Claude Cowork with Digital Marketing Systems Using MCP Tools
Topic 2: Creating Reusable Claude Skills for Digital Marketing Content and Workflows
Topic 3: Analysing Marketing Performance and Generating Data-Driven Insights
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
• Minimum 18 years old