Learning paths

I want to automate my work

Automation starts with understanding the process, not the tool. We will not start with AI agents: first you choose and map the task and build a fixed-step automation, then decide whether an agent really adds anything.

Goal
Choose a task that is genuinely worth automating, map its steps and build a first simple automation that works.
6 steps
Tool · Course · Practice
Start the path
  1. Step 1Tool

    Pick the task most worth automating

    Use the Automation Opportunity Calculator to compare your repetitive tasks by time spent and ease of automation, and choose just one to start.

  2. Step 2Course

    Learn to think in workflows

    Before any tool, learn to turn a recurring task into clear steps with review points. This skill underpins every automation that works.

  3. Step 3Tool

    Map the process as it is today

    Use the Workflow Mapper to document steps, inputs, outputs and who owns each step. You will often find steps to remove before automating.

  4. Step 4Course

    Learn a no-code automation tool

    Make's foundations are free and hands-on. If your team runs on Microsoft 365, the Power Automate module is a good alternative; if you use Zapier, take the Zapier Academy path.

  5. Step 5Practice

    Build one simple automation

    Build a two- or three-step automation for the task you chose, such as a form that logs to a sheet and sends an alert. Test it with real data and add a failure alert.

  6. Step 6Course

    Understand when an AI agent is actually useful

    Only now, after building a fixed-step automation, learn about AI agents: when they add real value, and when they only add complexity and risk.

Finish line

Run one real automation for two weeks, log the time saved and the errors that came up, then decide: do you need an AI step or an agent, or is plain automation enough?