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Linux Kernel programming online training

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Key Features

100% Practical training

Experienced Trainers

100% Placement assistance

Small batch size

Customized training content

Real-time project training

Fully equipped cloud lab

100% customer support

100% Money back guarantee

Career Opportunities

The average salary of a Linux Kernel programming professional is $162,450 per annum.
There are 1227 Linux Kernel programming jobs available for knowledgeable Linux Kernel programming professionals.
These are companies like Intel, Samsung, Cisco, LG, AMD, TI, to mention a few that use Linux Kernel programming and hire for Linux Kernel programming professionals.
The job roles available for the Linux Kernel programming professionals are Embedded Linux Kernel Engineer, Linux System Administrator, Linux/OS Engineer, Linux Device Drivers Engineer, Linux Kernel Developer with C programming, Software Engineer - Linux Kernel, and more.



About the Linux Kernel programming online training course

Spark Databox Linux kernel programming Online Training Course is designed for aspirants who want to learn how to build Linux, the fundamental processes of creating the kernel, and how to work productively with the Linux community. The candidates taking up the course will understand both the theoretical and practical knowledge, which helps the learners build their own Linux kernel project. You will also learn the exceptions of kernel space and user space Linux-C programming. After the initial stage of Linux kernel programming Online training, we train the candidates with a number of subsystems, including Linux scheduling, process administration, kernel memory control, kernel virtual memory, kernel synchronization, kernel time-management configuration, virtual file systems, page cache, and more.

One should possess a basic understanding of Linux system programming to take up this Linux Kernel programming online training course. And familiarity with C language will be beneficial.

Students and professionals who wish to build a career in Linux kernels and operating system

Linux enthusiastic

Engineers and Architects working on Linux-based systems wishing to gain a more extensive knowledge of the Linux kernel

Learn the Linux kernel configuration criteria, goals, and legacies

Understanding the Linux Device Model, kernel modules and functions

Understand the distinct scenarios and their limitations for implementation within kernel-space

Learn the kernel-space memory management task 

Learning and managing hardware interruptions of Linux kernel

Learning multiple synchronization mechanisms

Learn the multiple general-purpose traits in the Linux kernel

Learning the different techniques of Linux kernel, such as Debugging, recording, tooling, detection, problem-shooting

Learning the different compiler-specific macros used in Linux kernel programming such as (likely(), unlikely(), __init, __exit, etc

Introduction to Linux Kernel programming

This course commences with a summary of CPU design, fundamental operation and kernel programming paradigms, and socket programming. The introduction includes kernel's data structures and inter-functionalities to create a more profound understanding of file system invention, process planning, and network layer management along with many more concepts of Linux kernel programming.

The Linux kernel is a single-system operating system kernel similar to the Unix system. This kernel is based on the Linux line of operating systems usually attributed to as Linux distributions. Being a monolithic kernel, it not only includes a central processing unit, memory, and IPC, but also includes system drivers, server calls, and file system control. They are great at interacting with hardware and executing multiple tasks at once. This is why the processes here run at a rapid rate.

Due to the nature of open software, Linux is a free source

Linux promotes dynamic priming of Linux kernel modules

The Linux kernel serves as a pre-emptive strike

Linux has balanced multiprocessor comfort

Linux implements an object-oriented design paradigm with device classes, events, and a user-space device system

Linux neglects some common Unix characteristics which kernel professionals describe "poorly designed"

Linux Kernel programming Exam and Certifications

This course comprises programming tasks for learners to practice. The exercises and concepts taught in this course can be applied to any kernel. Upon the successful completion of the course, candidates will gain advanced, expert knowledge and experience on Linux kernel programming along with the official course completed certification. 

Linux Kernel programming certification course allows you to obtain insight into the following core sectors:

Gain a sound understanding of Linux kernel programming

Build a more firm understanding of the process cycle, concept, networking, and more

Create TCP, IP oriented network applications

Perform multi-tasking Linux applications on your own

Your training career is offered by well-specialized industry trainers

Job Scope of Linux Kernel programming

Currently, Linux has a hotter market than ever. This is a highly valued profession for anyone in computer programming. The Linux kernel programming training circuit can be sheer and can be hateful at times, but if you can get with it and be diligent, it can be rewarding. It is a great pleasure both financially and professionally.

The Linux kernel is used throughout, from minicomputers, general-purpose computers to high level performing supercomputers, where all run by the open-source Linux kernel. C programming is the language in which the kernel is developed. With more and more Linux-powered machines arriving into the market, demand for Linux kernel programming will never decline. 

Although Windows has a notable market share, as Windows progresses in the upcoming ages, its backend tools are supported by Linux. So there will always be a progressing growth for Linux kernel. The Linux kernel now has over a billion devices so that the growth will be huge in the future. As demand and supply are high in the near future, there will be greater demand for those who contribute in the long run to errors and setbacks.

Upcoming Batches

Start Date End Date Time (EST) (UTC - 5) Day
23-Apr-24 21-May-24 (09:30 PM - 11:00 PM) Tue-Sat
26-Apr-24 24-May-24 (09:30 PM - 12:00 AM) Fri-Sat
27-Apr-24 25-May-24 (09:30 PM - 12:00 AM) Sat-Sun
29-Apr-24 27-May-24 (09:30 PM - 11:00 PM) Mon-Fri
30-Apr-24 28-May-24 (09:30 PM - 11:00 PM) Tue-Sat

Note : We can arrange classes on different timings up on customer request. Please call us to schedule classes as per your convenient timings. We can arrange one to one training up on customer request.




Every training session will be recorded, and access will be provided to all the videos on Spark Databox ‘s state-of-the-art course training system. You can watch the recorded sessions at your own time and convenience. Or you can attend the missed session in any other live batch.

Expertise Training

Provide a quiz for practice

Self-paced training

Provide you with sample questions

Provide you with self-paced labs

Real-time projects

Yes, Spark Databox provide a demo session.