Free AI Course (5/5): Automate Tasks and Be More Productive

The final step: automate to be more productive

You have reached module 5 of 5. You already know how to write, summarize and present with AI. Now comes what gives you back the most time: automating repetitive tasks so the AI works for you.

In this lesson you will see what to automate, what not to automate, how to create workflows and which tools to use without coding.

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What to automate and what not to

Not everything deserves automation. The rule is clear:

• Automate repetitive tasks with clear rules that repeat.
• Do not automate tasks that require judgment, creativity or high responsibility.

Automate	Do not automate
Replying to standard emails	Replying to important complaint emails
Classifying leads by category	Deciding which client to prioritize
Generating periodic reports	Making the final decision
Translating documents	Reviewing the final translation of a contract
Transcribing meetings	Interpreting what was decided

AI prepares; you decide.

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First practical examples

Here are five automations you can set up today:

Task	How	Tool
Reply to emails	AI drafts replies based on templates	ChatGPT + Zapier
Classify leads	Each new lead is tagged by sector or interest	Make + AI
Generate reports	Summarize data into an automatic weekly report	Zapier + ChatGPT
Translation	Translate new content automatically	Claude for texts
Transcription	Transcribe and summarize recorded meetings	Whisper/Otter + AI

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Automation tools without coding

To connect apps and tasks you need a "glue" between them. The two big ones are:

• Zapier: connects thousands of apps with triggers and actions. Has a free plan.
• Make (formerly Integromat): powerful alternative with visual logic and a free plan too.

Inside them, the AI can write, summarize or classify the content that moves from one app to another. You do not write code: you define "if this happens, do this".

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Workflow step by step

Here is a real example: automatic weekly sales report.

1. A trigger detects new data (e.g., a sales spreadsheet).
2. Zapier/Make sends that data to the AI.
3. The AI summarizes the figures and drafts a short report.
4. The report is sent to your email or team chat.
5. It repeats every week without you doing anything.

That same scheme (detect → process → generate → deliver) works for many workflows.

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Start small

My advice to avoid overwhelm:

1. Choose one task that costs you time every week.
2. Build it first in a chat with ChatGPT to validate the result.
3. Connect it with Zapier or Make only if it is recurring.
4. Review it the first few times until you trust it.
5. Iterate: adjust the prompt or steps if it fails.

Two or three good automations beat twenty badly made ones.

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Course conclusion: you now know how to work with AI

In five modules you have learned: fundamentals, writing better, summarizing documents, creating presentations and automating. If you have practiced, you already work better with AI than 90% of people. You do not need more: you need to apply it every day.

AI does not replace you: it gives you speed and removes the boring parts. You bring the judgment, the review and the important decisions.

Want to go further? Discover how to make money with AI in 2026, automate your remote work or improve your business productivity.

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Thank you for completing the free AI course to work better! Keep exploring the blog to become an expert.