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AI: Local vs Cloud

For learners who want AI running on their own machine, and the judgement to know when local or cloud is the better choice.

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Running AI on your own computer means your data stays with you, there is no per-use bill and you can work offline. Cloud AI gives you the most capable models with nothing to install. Most people pick one out of habit and never find out what they are missing.

In live, hands-on sessions you get capable models running on your own machine, learn the techniques that make them fit and run well on ordinary hardware, and compare them side by side with cloud models on your real tasks. Mentors help you build a setup that uses each where it is strongest, so you get privacy, speed and value together.

What you will learn

  • Get capable AI models running on your own computer
  • Make models fit and run well on the hardware you have
  • Keep sensitive work private without giving up quality
  • Choose local, cloud or both for each task with confidence

Course outline

The full material opens once you are enrolled.

  1. Module 1

    AI on your own machine

    • What your computer can really doFind out how much AI your own hardware can already handle.
    • Your first local model, liveGet a capable model running on your own machine during the session.
    • Faster on ordinary hardwareSee what decides speed, and how to get more from the machine you have.

  2. Module 2

    Making big models fit

    • The trick behind local AILearn how large models are made small enough for everyday computers.
    • Picking the right sizeMatch models to your hardware and your task without trial and error.
    • Plugging it into your workUse your local model from the tools and scripts you already rely on.

  3. Module 3

    Local, cloud or both

    • Keeping your data yoursDecide which work should never leave your machine.
    • The real cost comparisonSee where each option gives you the best value for the work you do.
    • The best of bothBuild a setup that sends each task to the place it runs best.

What's included

  • Taught live

    Hands-on sessions with your cohort, applied to your own work rather than textbook examples.

  • Certificate, with your portfolio on it

    Complete the course and you get a certificate that shows the portfolio you built: the projects you shipped, not the hours you sat through.

  • Pairs with your main course

    Take it alongside Builder, Innovator or Architect to go deeper in your own field.

  • Reviewed, not just watched

    Your work gets direct feedback, and one-to-one doubt sessions are there when you ask.

  • The community

    Learn alongside people putting the same skills to work.

Want this with your course?

For learners who want AI running on their own machine, and the judgement to know when local or cloud is the better choice.

Invite only

Ask about enrolling