A practical AI agent automation course no code required, build reporting, data cleaning, and business workflows using Claude Cowork.
You learn to design real workflows that handle reporting, data cleaning, analysis and actually run them.
You learn how it works with local files, folders, and external apps to run multi-step tasks without you managing each step manually.
You start with the basics, how skills, plugins, and slash commands work, then build toward more complex systems.
That includes setting up multi-agent workflows where separate agents handle different parts of a task, and connecting those agents to external tools like Gmail using the Model Context Protocol (MCP).
The course also covers data analysis using built-in plugins.
You learn to visualize data, build KPI dashboards, and produce summaries that are ready for business decisions. Scheduling and triggers let you automate repetitive tasks so they run on their own.
What you will learn:
How to design and run multi-agent workflows that collaborate on complex, multi-step business tasks.
How to use plugins and agent skills to automate reporting, data cleaning, and documentation.
How to build KPI dashboards and data visualizations using data plugins.
How to connect AI workflows to external tools like Gmail using MCP.
How to use slash commands, triggers, and scheduling to automate repetitive work.
Ideal for: Analysts, marketers, founders, and operations professionals who want to automate business workflows without writing code.