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Mastering Linux device driver development for general & AI-accelerated platforms

Linux Device Drivers for Embedded & Edge AI

Design, develop, and debug Linux drivers across real hardware — from character drivers to PCI, USB, I²C/SPI, and AI-accelerated video pipelines — by studying and extending real drivers from the kernel tree.

🧪 Hands-on on real boards
🔌 Study & extend real kernel drivers
🎯 Built for driver-dev roles
Enroll now ★★★★★ Rated by 10,000+ engineers trained since 2003

OverviewAbout this program

This program takes participants deep into the Linux driver ecosystem, equipping them to design, develop, and debug drivers across a wide range of hardware platforms. Starting from Linux driver architecture, participants gain a clear understanding of how drivers fit into the kernel and communicate with user-space applications.

The course explores hardware buses and subsystems supported by Linux — including PCI, USB, and network interfaces — so engineers can map real hardware to the kernel's driver framework. Special focus is given to peripheral interfaces like I²C and SPI, enabling work on sensors, controllers, and embedded devices with confidence.

Beyond the fundamentals, the program introduces AI-driven driver use cases, including video drivers for accelerated hardware — a must-have skillset in today's era of AI, vision, and machine-learning workloads. Every concept is reinforced with step-by-step driver walkthroughs of real Linux drivers from the kernel tree.

OutcomesWhat you'll be able to do

  • Understand Linux driver architecture and how drivers expose device functionality to user space.
  • Work with the hardware buses Linux supports — PCI, USB, I²C, SPI, UART — and how drivers interact with them.
  • Explore the Linux camera subsystem, V4L2 framework, and AI-based video driver development.
  • Use DMA for high-speed transfers across multimedia, networking, and AI accelerators.
  • Move from simple character drivers to advanced, bus-specific and subsystem-level drivers through labs.
  • Design, implement, and debug custom drivers for general-purpose and AI-accelerated hardware.

Curriculum11 modules · hands-on throughout

Each module pairs concepts with real kernel-tree driver walkthroughs and labs on physical boards.

01Bus Architecture & Linux Driver Architecture
  • Device drivers defined
  • Linux driver model
  • Types of Linux drivers
  • Driver stacks
02Char Driver Model
  • Synchronous drivers defined
  • Driver registration & de-registration
  • Driver file interface
  • Device file operations
  • Driver data structures
  • Device configuration ops
  • Wait queues & polling
  • Memory mapping
03DMA
  • DMA Engine framework
  • High-speed transfers for multimedia, networking & AI accelerators
04Hardware Access
  • Device addresses
  • Port-mapped I/O
  • Interacting with port-mapped devices
  • Memory-mapped I/O
  • Reserving address space (MMIO)
  • MMIO access
  • Device access side effects
  • Device access from user space
05Interrupt Handling
  • Understanding interrupts
  • Linux interrupt handlers
  • Implementing a driver ISR
  • Need for deferred routines
  • Linux deferred routines
  • Interrupt event management
06Device Tree
  • Device tree syntax
  • Device tree walkthrough
  • Device tree bindings
  • Device tree support in bootloaders
  • Using device tree data in drivers
07Peripheral Drivers — I²C, SPI, GPIO
  • I²C drivers
  • SPI drivers
  • GPIO drivers
  • Interfacing sensors & controllers
08Input Drivers

Understanding and hands-on with the Linux input subsystem and input drivers.

09USB Host Driver
  • USB topology & terminology
  • Endpoints
  • Descriptors
  • USB device classes
  • USB support in Linux
  • Registering a USB device
  • Moving data
  • Example of a USB driver
10PCI Drivers
  • PCI device drivers
  • Locating PCI devices
  • Accessing configuration space
  • Accessing I/O and memory spaces
  • PCI Express
11Network Driver Model

Understanding the Linux network driver model and how network drivers integrate with the kernel stack.

LabsRecommended hardware

Hands-on labs run on real boards so you practise driver work the way it happens on the job.

BeagleBone AIAI-capable SBC for accelerated driver & edge workloads.
Raspberry Pi 5Widely available board for peripheral, GPIO & subsystem labs.

Before you startPrerequisites

Participants should ideally complete Linux Kernel Architecture & Interfaces Engineering before enrolling — or be fully comfortable with all concepts covered in that program. (This program's fee and 14-weekend duration already include Kernel Infrastructure.)

AudienceWho should enroll

Embedded systems engineers Kernel developers System programmers Firmware & hardware engineers Engineers moving into AI / multimedia / networking Professionals targeting kernel / embedded Linux roles

Your mentorLearn directly from the founder

Raghu Bharadwaj

Raghu Bharadwaj

Founder & Chief Mentor

75+ onsite trainings · 45+ enterprise clients · 10,000+ careers transformed since 2003. A thought leader in Embedded Linux education and the architect of TECH VEDA's hands-on training model.

ReviewsParticipant experiences

★★★★★

"Few people have a sound knowledge of Linux, and of those very few can teach. Raghu Sir is one of the best — he starts from the very basics and ends with complete insight. With 3 years of experience, I'm completely satisfied with the teaching and the topics covered."

MK
Murali Krishna
★★★★★

"There are no words to describe Raghu Sir's knowledge of operating systems and device drivers. I'm now working at MediaTek, and the credit goes to Raghu Sir and TECH VEDA. Many wishes for TECH VEDA."

AB
Abhishek
★★★★★

"An exceptional teacher who makes learning both enjoyable and effective. The ability to explain complex concepts clearly with real-life examples helps us understand and retain the material. The dedication, patience, and enthusiasm truly inspire us to do our best."

AH
Altaf Hussain

FAQsCommon questions

Do we write complete driver code from scratch?+
This course focuses on how Linux actually enables driver development in the real world. Rather than starting in a vacuum, we deep-dive into the driver infrastructure Linux already provides, walk through real drivers from the kernel, then guide you to extend, adapt, and implement drivers for different hardware.
Will these skills help me get a job as a driver developer?+
Yes. The course is designed around the skills companies look for in driver engineers. By working with Linux's driver infrastructure, studying real drivers, and building your own for buses, peripherals, and subsystems like camera/AI, you gain the exact hands-on experience needed for driver-development roles — bridging academic knowledge and industry practice.
Do we need any specific hardware/board for this program?+
Yes. The recommended boards are the BeagleBone AI and the Raspberry Pi 5.

Clients who engaged us for Linux Device Drivers

StrykerFujitsuAMD BroadcomSiemensCapgemini

Ready when you are

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Building core Linux engineering capabilities since 2003 — for individual engineers and enterprise teams.

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☏ +91-98858 08202
✉ info@techveda.org

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