Master Linux system-level skills to thrive in the age of AI
Linux Systems Engineering

The Linux Systems Programming Course is a career-defining program that builds the core engineering mindset needed in today’s AI-driven world. Instead of stopping at application coding, this course takes you deeper — into how operating systems, processes, and performance-critical software really work. By mastering system-level thinking, you gain the confidence to design robust, scalable, and future-ready solutions for domains like cloud infrastructure, embedded platforms, and intelligent AI systems. this program transforms you into a system-level problem solver and performance-focused developer.

Our training methodology goes beyond conventional teaching—it emphasizes revisiting core programming fundamentals, challenging long-held assumptions, and rebuilding concepts from the ground up. Participants are guided to relook at what they already know, unlearn the misconceptions that limit their growth, and relearn the right principles with deeper clarity in this age of AI.

By blending theory with immediate application, participants move beyond passive understanding into active problem-solving. Instead of merely memorizing APIs or commands, they learn to connect every concept to its real-world behavior on a Linux system. This means they don’t just know what works, but develop the insight to understand why it works that way and the skill to identify and resolve issues when things inevitably break. Through this method, participants cultivate the ability to think systematically, design robust solutions, and troubleshoot with confidence

Moreover, with a strong grounding in system-level thinking, they are empowered to leverage AI-driven tools and workflows—not as shortcuts, but as productivity multipliers—to maximize their engineering throughput and stay ahead in today’s rapidly evolving technology landscape.

Systems Software – A Deeper Exploration

  • Operating systems defined
  • Understanding types of Kernel 
  • Software models & integration
  • Introduction to Linux Kernel project
Toolchains – From Source to Binary
  • What is a toolchain?
  • Types of toolchains
  • Compiler and build process overview 
  • Binary file formats (focus on ELF)
  • Types and structure of object files
  • Firmware vs application binaries

Libraries & Linkages

  • Static vs shared libraries
  • Linking at compile time vs runtime
  • Shared object versioning
  • Use cases & best practices

Virtual address spaces

  • Address space defined.
  • Need for virtual addresses.
  • Use cases
  • User and kernel address spaces
  • Application Binary Interface(ABI) standard
  • Linux Standard Process address space layout

Stack Management

  • Stack segment basics
  • Procedure calls and stack frames
  • How the system tracks frames
  • Stack backtraces and debugging
  • Stack overflow explained
  • Security mechanisms in stack handling

Heap Management

  • Heap segment definition
  • Low-level vs high-level allocation
  • Heap management strategies and organization
  • Internals of allocation libraries
  • Troubleshooting heap fragmentation and performance

Debugging Heap Memory

  • Memory leaks and detection
  • Buffer overflows and out-of-bounds access
  • Runtime memory checking tools
  • Analyzing memory during crashes

Advanced Memory Concepts – Lazy Allocation & Pinning

  • Lazy allocation (pages created on access)
  • Determining residency of memory pages
  • Pinning memory to avoid swapping
  • Use cases in real-time, database, and security-sensitive applications

Introduction to I/O Architecture

  • Role of the Virtual File System (VFS)
  • VFS as an abstraction layer across filesystems & devices
  • Unified file descriptor model
  • Common file operations

Types of File I/O in Linux

  • Synchronous I/O (blocking)
  • Direct I/O (bypassing cache)
  • Vectored I/O (gather/scatter)
  • Memory-mapped I/O
  • Read-ahead optimizations

Advanced I/O Models

  • Asynchronous I/O techniques
  • Modern high-performance I/O mechanisms
  • Comparing traditional and modern approaches
  • Use cases in databases, servers, and real-time applications

Process Creation Models

  • Process lifecycle overview
  • Process creation models (multi-process, multi-threaded)
  • Mechanisms for creating new processes
  • Parent-child relationships and termination

Signals & Inter-Process Control

  • What are signals and how are they delivered
  • Common signals and default actions
  • Writing safe handlers
  • Using signals for synchronization and control

Process Cloning & Lightweight Processes

  • Concept of lightweight processes
  • Clone-based process creation
  • Differences from traditional fork-exec model
  • Use cases in namespaces and isolation

POSIX Threads (pthreads)

  • Creating and managing threads
  • Thread attributes and scheduling
  • Synchronization primitives (mutexes, condition variables, read-write locks)
  • Thread-local storage
  • Cancellation and cleanup of threads

Classic IPC Mechanisms

  • Pipes (anonymous and named)
  • Shared memory regions
  • Message queues
  • Semaphores for synchronization

File Descriptor Sharing & Multiplexing

  • Concept of monitoring multiple file descriptors
  • I/O multiplexing mechanisms
  • Event-driven application models

Networking with Sockets

  • Sockets as endpoints for communication
  • Types of sockets (stream, datagram, raw)
  • Client-server architecture
  • Local (UNIX domain) vs network (TCP/IP) sockets

Time Measurement & Delays

  • System time vs process time
  • Relative vs absolute timers
  • High-resolution timing

Timers in Applications

  • Periodic timers
  • One-shot timers
  • Use cases in scheduling recurring tasks

Scheduling Policies

  • Linux process scheduling overview
  • Priorities and policies (real-time vs normal)
  • CPU affinity and load distribution

Aspiring participants must have sound C programming skills. Exposure to Linux command-line and basic usage of Linux is an added advantage

Learning Linux Systems Programming not only ushers a new perspective of looking at application building eco-system but also more importantly builds the core foundational skills of Memory Concepts, IPC, Sockets and Threads—skills that form the backbone of advanced and diverse domains like embedded systems, edge AI, high-performance computing, cloud infrastructure and Kernel exploration.

Without sound knowledge of systems programming skills advancing your career may become extremely challenging in the current day job scenario

Yes, it is necessary, here’s why:
Systems programming teaches you how processes, memory, files, and concurrency are managed inside Linux. These concepts are not just useful—they are essential prerequisites for drivers, where you deal directly with hardware and must synchronize with the kernel’s process and memory models. Without this grounding, driver programming becomes a matter of copying code patterns rather than truly understanding and controlling how the OS and hardware interact.

More than 90% of our corporate clients include Linux systems programming concepts when requesting for onsite training. This helps them to level-up their foundational skills before venturing into Kernel & Drivers

A well-documented fact is that only engineers with strong conceptual foundations can truly harness AI automation effectively. Most so-called vibe coders may generate code, but they struggle to critically review it or anticipate runtime issues—precisely because they lack a deep understanding of internal concepts, their interdependencies, and the integration complexities that underpin real systems. Without this depth, AI becomes a shortcut to fragile solutions; with it, AI becomes a powerful multiplier of engineering capability.

TECH VEDA’s Linux Systems Programming course is designed to reshape the way participants perceive system software concepts and programming approaches. It’s not just about learning APIs—it’s about making a dimensional shift: breaking long-held assumptions, unlearning misconceptions, and adopting a new mindset essential for systems-level development.

This transformation doesn’t happen overnight. It requires a process of daily unlearning and relearning, much like carefully rebuilding a foundation from the ground up. For most participants, the best results come from taking this journey slow and steady, allowing concepts to truly sink in and reshape their thinking.

That said, the pace is not one-size-fits-all. Participants who already have a strong footing in Linux or prior exposure to systems programming may choose to accelerate their path, while others will benefit from a more gradual immersion. Either way, the program ensures that every learner transitions into the depth and clarity required to excel in system software development.

This is the question we hear most often when participants are asked to start with Linux Systems Programming before moving on to Kernel or Device Drivers. And the data speaks for itself:

  1. Over 90% of participants who initially skipped Systems Programming—confident they already knew the concepts—and enrolled directly into Kernel or Device Drivers, later returned to complete our Linux Systems Programming course.

    • “I thought I had enough background to jump straight into drivers, but midway I realized I was missing the foundations. This course filled the gaps I didn’t even know I had.” — Adit Patel

  2. Even highly experienced engineers, with years of systems programming under their belt, have shared that only after this course did they truly understand what they had been practicing all along.

    • It felt like I’d been working in the dark all these years. Only after this course did I finally grasp the intricacies and interdependencies of the concepts I was using daily — Arut Selva

In short, this course isn’t just about “learning the basics”—it’s about gaining the clarity and depth that even seasoned professionals realize they’ve been missing.

This program is delivered on Linux-x86 platform, so you do not require any specific hardware or boards

Program Calendar

Details
  • Starts: 15th Oct. 2025
  • Delivery: Live, Online
  • Time: 7:40am - 9am (Weekdays)
  • Duration: 40+ Sessions
  • Fee: ₹17,700/- (Inclusive of GST)
Upcoming

Clients Who Engaged Us for Linux Systems Engineering

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