Linux Debug Training (Part-2)

Linux is at the heart of our modern world. From the devices we carry in our pockets to the systems that power industries, Linux, and particularly embedded Linux, plays a pivotal role. It drives the technology behind smart home devices, medical equipment, automotive systems, and so much more. These systems aren't just conveniences—they're critical to how we live, work, and innovate.

The world of software development is changing rapidly. With the rise of AI-assisted coding, many teams are generating large volumes of code quickly and at scale. While this can accelerate development, it often introduces subtle bugs and hard-to-diagnose issues that AI cannot fix. As companies increasingly rely on AI to handle routine coding tasks, there will be a growing need for engineers with advanced debugging expertise who can step in when things go wrong. This course prepares you for that future by giving you the ability to understand and correct issues that go beyond the reach of automated tools.

One of the challenges in learning these advanced skills is that the information is scattered across countless sources, often buried in outdated documentation or fragmented tutorials. Searching the web for answers can be frustrating and extremely time-consuming. This course brings everything together in one structured, practical program so you can focus on learning rather than piecing together random information.

This second part of the Linux Debugging course builds on the foundation provided by Part 1. It takes you into the advanced areas of Linux debugging where you move beyond the basics and begin to explore the powerful techniques used by senior engineers to solve the most difficult and elusive problems in complex Linux systems.

You will learn how to trace both user space and kernel space activity, giving you deep insight into how processes and the kernel interact at runtime. You will gain expertise in advanced profiling techniques for memory, CPU, and hardware performance analysis, as well as approaches for visualizing data to better understand where performance bottlenecks occur.

Finally, you will develop the ability to debug at the kernel level, diagnosing kernel crashes and runtime errors, using interactive kernel debuggers, and working with modern diagnostic tools like KASAN, UBSAN, and KCSAN. These skills will give you the confidence to fix problems that others may find impossible to diagnose.

By the end of our course, you will have acquired a comprehensive set of techniques for tracing, profiling, and debugging at every level of the Linux system. Whether you are working on embedded devices, cloud infrastructure, or mission-critical systems, these skills will allow you to diagnose and solve the toughest problems with confidence.

If you want to become the person others rely on when complex, high-stakes issues arise, this course will give you the expertise and the confidence to take on that role.