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This course provides a deep dive into the core subsystems and concepts of the Linux kernel, enabling participants to move beyond user space and truly understand how the operating system works under the hood. With a strong focus on practical comprehension, the program covers critical areas such as Memory Management, Security Frameworks, Kernel Debugging, Physical Memory Management, Synchronization & Concurrency
By building clarity in these core domains, participants develop the strong foundation required for device driver development. Once you understand how the kernel handles memory, synchronization, and debugging, writing drivers becomes far more intuitive, allowing you to design, troubleshoot, and optimize them with confidence.
Most importantly, without these fundamentals, participants cannot fully leverage AI and intelligent automation at the systems level.
This course is designed for engineers aspiring to work on Embedded Linux, kernel modules, advanced driver development, and edge AI applications, giving them the skills to bridge the gap between application-level programming and low-level kernel engineering.
Training Methodology
In this course, we adopt a structured and practical approach to exploring the Linux kernel. Each kernel subsystem is taken up individually, and we unravel its core concepts, internal mechanisms, and design principles that every developer must understand. We go beyond surface-level knowledge by examining the architecture in detail, analyzing how the subsystem fits into the broader kernel, and studying its interfaces, data structures, and interactions with other components.
This hands-on, deep-dive methodology ensures that participants don’t just learn what a subsystem does, but also how it is implemented, why it works the way it does, and how to leverage this knowledge effectively when building device drivers and advanced system-level software.
Aspiring participants should ideally complete Linux Systems Engineering before enrolling into Kernel course
Or Participants must be fully aware of all the concepts covered as part of the above mentioned program
Yes, kernel skills are essential for learning Linux device drivers since drivers run inside the kernel and rely on its subsystems like memory, synchronization, and debugging. Without this foundation, driver development becomes difficult and error-prone
Linux Kernel Engineers are employable in domains like embedded systems, semiconductors, networking, cloud, cybersecurity, and edge AI. In short, any field where software must work tightly with hardware and performance is critical.
