Automate your work with AI and no-code tools

Choose the right tasks to automate, build reliable no-code workflows with an AI step, and keep them running without surprises.

You probably copy the same information between the same apps every week: form to spreadsheet, email to task list, invoice to accounts. Automation tools can do this for you, but most first attempts fail quietly. The flow sends a duplicate email, breaks when someone renames a column, or saves four minutes a month after a weekend of building. This course starts with choosing work that is worth automating, then teaches the building blocks, adding an AI step safely, and the error handling that keeps flows running. You need no code, only a work task you are tired of doing by hand.

What you'll be able to do

• Score your repetitive tasks by frequency, time and error cost and choose which to automate
• Diagram any workflow as a trigger, actions, field mappings, filters and branches
• Compare Zapier, Make, n8n and built-in automation on fit, data access and running cost
• Build a form to spreadsheet to email flow that handles duplicates and missing fields
• Add an AI step that classifies or drafts, tested on real examples, with a person approving output
• Add error alerts, logs and human checkpoints so failures are visible
• Write a runbook and cost sheet for each automation and review them on a schedule

Syllabus

Module 1: Decide what is worth automating

Price your repetitive tasks by frequency, time and error cost, fix messy processes before you touch a tool, and pick the work that will repay the effort.

• 1.1 Automate the task that costs most, not the one that annoys most
• 1.2 Fix the process before you automate it
• 1.3 Know which work should stay manual
• 1.4 Score your own task list

Module 2: Understand how every automation is built

Read and design any automation as a trigger, a chain of actions and the data passed between them, including filters, branches and the formatting fixes that stop errors.

• 2.1 Triggers, actions and the steps between them
• 2.2 Data mapping: passing fields from one step to the next
• 2.3 Format dates, names and numbers on the way through
• 2.4 Draw your first workflow on paper

Module 3: Pick a tool you can live with

Compare Zapier, Make, n8n and the automation already built into your email and office apps, so you choose on fit, data handling and running cost rather than marketing.

• 3.1 Zapier, Make and n8n: three ways to build the same flow
• 3.2 Use the automation you already pay for
• 3.3 What a tool can see once you connect your accounts
• 3.4 Build the same small flow in two tools

Module 4: Build a form to spreadsheet to email flow

Build the most common small-business automation properly: a form response that lands in a sheet, sends a confirmation and sets up follow-up, without duplicates or missed rows.

• 4.1 Plan the record that ties form, sheet and email together
• 4.2 Send a confirmation email that people read
• 4.3 Stop duplicates and missed rows
• 4.4 Build an enquiry-to-follow-up flow end to end

Module 5: Add an AI step that classifies and drafts

Use a language model step inside a workflow for the two jobs it does well, sorting text into categories and drafting replies, while keeping a person in charge of what gets sent.

• 5.1 What an AI step is good for inside a workflow
• 5.2 Make the model pick from a fixed list
• 5.3 Draft replies a person approves before sending
• 5.4 Test the AI step on 20 real examples

Module 6: Automate your inbox and documents

Sort and route incoming email, pull data out of invoices and PDFs into a sheet, and generate documents from templates, with checks where numbers matter.

• 6.1 Sort, label and route incoming email
• 6.2 Pull data out of invoices, receipts and PDFs
• 6.3 Generate documents from a template
• 6.4 Build an invoice inbox that files itself

Module 7: Keep automations running when things go wrong

Learn the usual ways automations fail, add retries, alerts and logs so failures are visible, and put human review checkpoints where a mistake would be costly.

• 7.1 How automations fail, and why you often do not notice
• 7.2 Retries, fallback paths and alerts
• 7.3 Logs and human review checkpoints
• 7.4 Break your own flow on purpose

Module 8: Count the cost and keep it maintained

Work out what an automation really costs in subscriptions, AI usage and upkeep, document it so someone else can fix it, and review your automations on a schedule.

• 8.1 What an automation really costs
• 8.2 Document it so someone else can fix it
• 8.3 Review, retire or rebuild
• 8.4 Your automation portfolio and maintenance plan

Frequently asked questions

How long does the course take?

About ten hours across eight modules, including the builds. Most people finish in four to five weeks at two or three hours a week, with the final project running for two weeks alongside.

Do I need to code?

No. Everything is built in no-code tools. A few steps use simple formulas, the same kind you would write in a spreadsheet.

Which tool do I need to pay for?

None to start. The exercises fit the free plans that Zapier, Make and n8n have offered, though plan limits change, so check the current terms. You choose one tool in module 3 and use it for the rest of the course.

How is this different from Build with AI: APIs, agents and small apps?

This course stays inside no-code tools. Build with AI is for people ready to write some code with AI help, call model APIs directly and build small apps. If your flows keep needing workarounds, that course is the next step.

Is it safe to connect my work email and files?

It depends on your workplace rules and the data involved. Module 3 shows you how to check what access a tool gets and what to ask IT before connecting work accounts or customer data.

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