Skip to content
estudIA

Start here2 min read

A 30-Day Roadmap to Learn AI From Scratch

A four-week plan, 30 minutes a day, to go from zero to using AI confidently and understanding agents and automation, with free resources along the way.

In short

  1. Week 1: fundamentals. Understand what an LLM is, its limits and how to protect your privacy, and use it daily for something real.
  2. Week 2: prompting. Learn to ask well: context, examples, format and conversation.
  3. Week 3: tools. Use projects, documents, research with sources and connectors.
  4. Week 4: agents and automation. Understand what an agent is, try one and automate a task of your own.

Learning AI isn’t memorising model names, which change every month, but understanding how it works and practising until asking for things feels natural. This four-week roadmap, at 30 minutes a day, uses the guides on this site and quality free courses. By the end you will use AI with judgement and understand what people mean when they talk about agents.

Week 1: understand what you’re talking to

To go further: the free Elements of AI course explains AI without maths.

Week 2: learn to ask

  • Days 8 to 10. Practise the seven prompting techniques, one a day, on the same task to see the difference.
  • Day 11. Learn to write better with AI without losing your voice.
  • Day 12. Try the same prompt in two different assistants and compare. It will help you understand the AI model guide.
  • Days 13 and 14. Browse the glossary: look up terms you’ve heard and don’t understand.

Week 3: use the tools for real

Week 4: agents and automation

After day 30

AI changes every week. To keep up without stress, follow our weekly news or subscribe by RSS, and come back to the model comparison whenever you need to choose a tool.

Frequently asked questions

Do I need to know how to code?

No. The first three weeks need nothing technical. Week four has an optional part for those who want to code.

What if I don't have 30 minutes a day?

Follow the same order at your own pace. What matters is practising with real tasks, not speed.

Glossary terms

Sources

Related articles