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Docker containers are the default for course work, and on Windows and Linux they are what you should use. The guide below covers installation for all three platforms plus the build and run commands.

Docker Containers

Docker installation, course environment setup, ROS on Mac, and all build and run commands.
On an Apple Silicon Mac the container cannot reach the GPU, because Metal is not exposed to the Linux virtual machine Docker runs. For the AI and computer vision courses you can install natively instead and use the GPU through Metal. For robotics the container is still required, since ROS 2 does not run natively on macOS.

macOS Native

Installing natively on Apple Silicon with uv, using the PyTorch mps device, and what you give up by leaving the container.
Either way you will need Python and uv to manage dependencies.

Python & uv

Installing Python, managing virtual environments, and installing packages with uv, the fast, modern replacement for pip and conda.
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