Embedded Linux Training in Austin

Buildroot is an open-source project that contains scripts that produce a cross-compilation toolchain, a customizable root filesystem image, and a Linux kernel for embedded devices. During this practical course, participants will learn how to use it:

- How to select software that goes into the root filesystem.
- How to add new packages and modify existing ones.
- How to add support for new embedded boards.

During the course, bootable filesystem images will be produced. Remote courses are delivered using the [QEMU](/cc/qemukvm) emulator, while in the classroom it is possible to use either QEMU or real embedded boards of the trainer's choice.

Other projects with similar goals include the [Yocto project](/cc/yoctoproject) and OpenWRT. Please use [these](https://bootlin.com/pub/conferences/2016/elc/belloni-petazzoni-buildroot-oe/belloni-petazzoni-buildroot-oe.pdf) [presentations](https://elinux.org/images/0/0a/Embedded_Linux_Build_Systems.pdf) to determine which one is the right choice for your needs.

A two day course consisting of around 60% hands-on labs focusing on Embedded Linux kernel internals, architecture, development and investigating how to write and integrate several types of device drivers.

Who should attend?

Engineers interested in Linux kernel development on Embedded systems and plateforms.

This is a two day course covering all basic principles of building Embedded linux Systems, around 60% of the entire course time is practical hands-on implementation for real world application using the same standards and tools used in industry

In this instructor-led, live training in Austin participants will learn step-by-step how to build an embedded Linux system from the ground up. From building a minimalistic kernel to configuring the bootup and initialization processes, participants will learn the tools, techniques and mindset needed to deploy a fully functional embedded Linux system.

For remote trainings, QEMU will be used to emulate the hardware. Other platforms, including real hardware devices, can be considered on a case by case basis.

The LEDE Project (Linux Embedded Development Environment) is a Linux operating system based on OpenWrt. It is a complete replacement for the vendor-supplied firmware of a wide range of wireless routers and non-network devices.

In this instructor-led, live training, participants will learn how to set up a LEDE based wireless router.

Audience

- Network administrators and technicians

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

In this training, participants will learn how to build their own embedded Linux for the Raspberry Pi.

This instructor-led, live training in (online or onsite) is aimed at engineers who wish to implement NetApp ONTAP.

By the end of this training, participants will be able to:

- Set up and administer ONTAP 9.3 Cluster (3 days).
- Safeguard data through Data Protection technologies (2 days).

Shadowsocks is an open-source, secure socks5 proxy.

In this instructor-led, live training, participants will learn how to secure an internet connection through a Shadowsocks proxy.

By the end of this training, participants will be able to:

- Install and configure Shadowsocks on any of a number of supported platforms, including Windows, Linux, Mac, Android, iOS, and OpenWrt.
- Deploy Shadosocks with package manager systems, such as pip, aur, freshports and others.
- Run Shadowsocks on mobile devices and wireless networks.
- Understand how Shadowsocks encrypts messages and ensures integrity and authenticity.
- Optimize a Shadowsocks server

Audience

- Network engineers
- System Administrators
- Computer technicians

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in Austin (online or onsite) is aimed at developers who wish to use TensorFlow Lite to deploy deep learning models on embedded devices.

By the end of this training, participants will be able to:

- Install and configure Tensorflow Lite on an embedded device.
- Understand the concepts and components underlying TensorFlow Lite.
- Convert existing models to TensorFlow Lite format for execution on embedded devices.
- Work within the limitations of small devices and TensorFlow Lite, while learning how to expand the scope of operations that can be run.
- Deploy a deep learning model on an embedded device running Linux.

In this instructor-led, live training in Austin, participants will learn how to create a build system for embedded Linux based on Yocto Project.

By the end of this training, participants will be able to:

- Understand the fundamental concepts behind a Yocto Project build system, including recipes, metadata, and layers.
- Build a Linux image and run it under emulation.
- Save time and energy building embedded Linux systems.