Ollama: Run Local LLMs Offline and Privately for Free

About this course

You heard that you can run AI on your own computer, and the first thing you thought was: that must be for people with a monster GPU and a free weekend.

It is not.

Open source models got small and good at the same time. A model that needed a data center two years ago now answers on a laptop with 8 GB of RAM, and it answers well enough for real work.

This course has a single promise: by the end of it you will have your own AI running on your own machine, private and free, and you will know exactly which tool to reach for in each situation.

The first win arrives early. In the opening lessons you already have a model downloaded and answering on your machine, with the wifi off, before you create any account or type any card number.

You will set up your Python environment, run models by task with Hugging Face pipelines, install and command Ollama from the terminal, build custom models with a Modelfile, work with embeddings, put together a basic RAG that answers from your own documents, and run multimodal models locally.

You leave with a working local setup, a map of which models fit which hardware, and the judgment to choose between a graphical interface and the terminal for each job.

I have taught more than a million students in over 200 countries, and Rodrigo Macedo builds every technical lesson with you on screen.

The window is open right now: the models are free, the tools are free, and the distance between what runs on your desk and what runs in the cloud has never been this short.

If you have a computer and an afternoon, your private AI starts running today. See you inside.

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