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Guio’s practical AI course

Learn to use AI in your work.

An online course for real work with AI. Learn to give clearer instructions, check answers, and build automations you can use in your daily work.

  • No coding needed to start
  • Online · at your own pace

The platform is available in Spanish, English and French. The course is translated through the tokenizer lesson; later lessons remain in Spanish.

01 / 09Explore the course

Understand AI. Learn to use it.

An online course to learn from scratch, practice with guidance, and apply AI to real tasks.

Your learning, step by step
  1. What you learn

    AI for real tasks.

    Learn to ask AI to do tasks, check that it does them correctly, and automate repetitive work.

    See the projects
  2. How you learn

    Learn by doing.

    Read an explanation, try exercises, and build a project. Use feedback to correct and improve it.

    Discover the method
  3. How you start

    From scratch. At your pace.

    Access the core course for free and progress as new content is published.

    Explore the roadmap

The difference starts here

An answer can sound brilliantand still be wrong.

Learn to check where each fact comes from, spot errors, and test whether an answer does what you asked.

convincing answerno sourceno testno recovery

You don’t collect prompts.You build judgment.

Three projects from the full roadmap

At the end, you don’t show hours.You show your work.

Three projects you will complete during the course: compare AI responses, build an assistant, and put a routine into practice.

01 / Decide with data

Compare before you choose

Try three ways to solve the same task with AI, changing the instructions or the documents you provide.

Result
Check whether each answer meets your request and what errors it makes.
Review time
Time the minutes you spend reading, checking, and correcting each answer.
Total cost
Add the AI service cost and the value of your time. Compare it with doing the task manually.
02 / Act within limits

An agent you control

Build an agent: an AI assistant that uses tools to complete a task from your work.

What it does
Define the task it must complete and the tools it can use.
Its limits
Decide when it must ask your permission and how much it can spend.
If it fails
Trigger an error to check that the agent stops. Fix the problem and resume the task.
03 / Run it for real

Put a routine to work

Start a recurring task and track what happens over seven calendar days, with brief check-ins.

Tracking
Record what it did, what result it produced, and how much it cost.
Control
Practice pausing it and starting it again.
Errors
Trigger an error in a safe environment and document how you fix it.

You can open it.Explain it. Improve it.

The Adopción method

You don’t progress by watching.You progress by proving.

the cyclerepeatuntil it meets the brief
  1. 01

    Understand

    Learn the task, what to submit, and how it will be assessed.

  2. 02

    Build

    Use AI to create a first version of your project.

  3. 03

    Test

    Find a case where your project fails and record what happened.

  4. 04

    Improve

    Fix the cause of the failure and repeat the test to check the change.

  5. 05

    Demonstrate

    Submit your project with evidence that it works and explain when it can fail.

Before you start, you know what your project must do. Test it, fix errors, and explain the results.AI helps you create. You check that it works.

06 / The full roadmap

From scratch to automatingreal tasks.

Start by understanding how AI produces answers. Then learn to check those answers, automate tasks, and fix problems as they arise.

modules
08
submodules
18
projects
17
estimated hours
119.7

What you will learn, step by step

Your time matters too

How many hours do you have each week?

Choose your weekly study hours to estimate the length of the full course. Pause and resume whenever you need to.

Study hours per week

Estimated time to complete the course

24weeks

Each mark represents one week

2 submodules available now. Start with the available content. More modules will be added in stages.

Check availability

After the core program

One shared foundation.Seven ways to go deeper.

Business, software, data, audiovisual creation, infrastructure, games, or design. You choose the direction.

00 / shared foundationAdopción core program
judgment · building · operation
  1. Business Agents and Automation
  2. Software Builder
  3. Data, Research, and Knowledge
  4. Audiovisual Creation
  5. Local Models, Benchmarking, and Infrastructure
  6. Games and Interactive Experiences
  7. Design with AI

Roadmap · paid specializations · not yet available

Before you start · 05 answers

Honest questions.Clear answers.

What matters before you decide, explained directly.

  1. Do I need to know how to code?

    You don’t need to know how to code to begin. You start with instructions, documents, and decisions; when you reach files and the terminal, you’ll have a guided path from scratch.

  2. Is this another prompting course?

    You will learn to write instructions for AI, check its answers, and build automations you can test, improve, and use in your work.

  3. Can I use AI in the projects?

    Yes. You can use as much AI as you need. What you can’t delegate is deciding what to build, why to build it that way, and what to change when it fails.

  4. How much time do I need?

    You choose a weekly pace you can sustain. The estimate changes with your hours and is not a deadline.

  5. What is free?

    Access to the core course’s lessons and projects is free. You can already start with the published submodules; the rest is published progressively. AI features use the account you connect; your chosen AI service may charge for that usage.

Your next way of working

AI will keep changing.Your judgment stays.

Learn to give clearer instructions, check results, and automate tasks. Start from scratch and learn at your own pace.

  • At your own pace
  • From scratch
  • Real projects