IoT & Embedded Intelligence · Practical career preparation

Embedded Linux, Device Drivers & BSP Development

Build the Linux image. Integrate the device. Debug the system. Learn cross-development, boot flow, device tree, kernel-driver fundamentals and Yocto BSP customization. Bring a sensor into a reproducible embedded Linux system and investigate failures across hardware, kernel and user space.

11 core modules Preparation matched to your diagnostic Three guided projects integrated into the curriculum One independently assessed capstone
RoboEdify track record
10,000+
alumni transformed
1,000+
hiring partners
4.8/5
average class rating
87%
placed in 6 months
10+
years of training
Where our AI alumni work
MicrosoftAmazonSalesforceServiceNowDeloitteInfosysAccentureTCSWiproCapgeminiCognizantHCL MicrosoftAmazonSalesforceServiceNowDeloitteInfosysAccentureTCSWiproCapgeminiCognizantHCL
Direct answer

What does an embedded Linux and BSP engineer do?

An embedded Linux engineer adapts Linux software to a device and integrates its hardware interfaces. BSP work brings together board configuration, boot components, kernel changes and image contents. This course starts from a supported development board and teaches how to build, extend and debug that system.

The learning journey
01Bring up.

Understand the boot chain and cross-development environment.

02Describe.

Connect hardware through device tree and driver matching.

03Integrate.

Use the appropriate kernel subsystem and build the image.

04Debug.

Trace failures across boot, driver and user-space boundaries.

Why this course focuses on practical evidence

A device failure can cross several software layers.

You will diagnose boot arguments, failed probes, lifetime errors and service failures. Each investigation asks you to identify the failing layer before changing code and to retain the evidence that explains the result.

Learning format

Learn through classes, labs and individual feedback.

The program combines live mentor-led classes, guided labs, project work and support sessions. Your diagnostic determines the preparation needed before the common core.

Choose on-campus, live online or a working-professional format. An advisor can explain the class format, lab access and learner support before enrollment.

On-campusLive onlineWorking-professional format
Who should join

A common core, with preparation matched to your starting point.

Graduates and learners entering the fieldPrepare in systems C, Linux commands, builds and hardware interfaces. MCU experience is useful, but equivalent readiness can be demonstrated without completing another course.
Working engineersApplication developers and firmware engineers use the diagnostic to identify systems-C, kernel or board-interface gaps. The same driver and BSP practical outcomes apply to both routes.
Learning outcomes

Leave with skills you can demonstrate.

Cross-build and deployUnderstand toolchains, sysroots and target executables.
Explain the boot chainIdentify boot-stage failures and recover the teaching board.
Use device tree correctlyMatch hardware descriptions to the relevant driver and binding.
Develop driver integrationHandle resources, errors and supported lifecycle paths.
Build a Yocto imagePackage the driver and application in documented layers.
Debug system failuresUse logs, traces and tests to connect symptoms to causes.
Preparation based on your diagnostic

What you practise before the core.

Systems C and debuggingPointers, allocation/lifetime, bit operations, compilation, GDB and memory errors.
Linux and build foundationsShell, permissions, processes, Git, Make, cross-compilation and logs.
Computer architecture and interfacesMemory-mapped IO, interrupts, boot sequence, I2C/SPI and schematic/device-tree concepts.

Both routes complete the same practical exit requirements. A diagnostic identifies the preparation you need. Previously demonstrated foundations can be recognized, while broader gaps receive a separate learning plan before the core.

Course curriculum

11 modules. A complete path from foundations to an independent capstone.

Each module combines technical concepts, practical work, a failure investigation and a reviewed submission. Preparation sits before the common core.

01

Linux systems and cross-development

Embedded Linux, Drivers & BSP

Know what your target executable depends on.

+
Topics
•Kernel versus user space, processes, virtual memory, toolchains, sysroots and executable formats
Hands-on lab
Cross-build and run a small application on QEMU and the selected board.
Failure scenario you solve
A cross-built application cannot start because its dynamic loader is missing on the target.
You build
Toolchain manifest and deployment script.
Assessed outcome: Diagnose architecture, dynamic-loader or library mismatches.
02

Boot chain and board bring-up

Embedded Linux, Drivers & BSP

Identify the boot stage before trying a fix.

+
Topics
•ROM/SPL/U-Boot roles as applicable, boot media, kernel command line, console, root filesystem and recovery
Hands-on lab
Trace a known board boot and recover from a controlled boot argument/rootfs error.
Failure scenario you solve
The kernel starts but cannot mount the root filesystem named in its command line.
You build
Boot-stage map and recovery guide.
Assessed outcome: Identify which boot stage failed from serial logs.
03

Device tree and hardware description

Embedded Linux, Drivers & BSP

Match the hardware description to the driver.

+
Topics
•Nodes, compatible strings, address/interrupt properties, pin control, clocks and binding schemas
Hands-on lab
Enable a supported peripheral with a reviewed device-tree change and validate its binding.
Failure scenario you solve
The peripheral never probes because its compatible string or pin configuration is wrong.
You build
Device-tree patch and probe evidence.
Assessed outcome: Distinguish hardware description from driver implementation.
04

Kernel modules and development workflow

Embedded Linux, Drivers & BSP

Build modules against the matching kernel.

+
Topics
•Kernel configuration, module lifecycle, Kbuild, logs, matching build trees and version-dependent APIs
Hands-on lab
Build a small teaching module against the pinned kernel and investigate a load failure.
Failure scenario you solve
A module compiled for a different kernel configuration fails to load.
You build
Module source and reproducible build instructions.
Assessed outcome: Explain why internal kernel APIs must match the selected version.
05

Driver model and resource lifetime

Embedded Linux, Drivers & BSP

Handle resource ownership on success and failure.

+
Topics
•Device/driver matching, probe/remove, managed resources, error unwinding, bus drivers and subsystem choice
Hands-on lab
Extend a small teaching driver and inject probe failures to inspect cleanup.
Failure scenario you solve
A failed probe leaves a resource allocated or accessible after cleanup.
You build
Driver patch and lifetime review.
Assessed outcome: Avoid leaked resources or use-after-free across supported lifecycle paths.
06

Concurrency, interrupts and deferred work

Embedded Linux, Drivers & BSP

Respect execution context and asynchronous lifetime.

+
Topics
•Process/atomic context, mutexes/spinlocks, wait queues, threaded interrupts, workqueues and cancellation
Hands-on lab
Implement a bounded event path; stress concurrency and shutdown while work is pending.
Failure scenario you solve
A work item touches device state after removal, or code sleeps in atomic context.
You build
Concurrency design and stress log.
Assessed outcome: Explain where sleeping is legal and prove cleanup ordering by code and tests.
07

Peripheral drivers and subsystem integration

Embedded Linux, Drivers & BSP

Expose correct measurements through the right subsystem.

+
Topics
•I2C transactions, regmap concepts, IIO for sensors, channels, scale/units, error propagation and user-space access
Hands-on lab
Adapt a bounded sensor driver using the appropriate existing subsystem; observe physical bus behavior.
Failure scenario you solve
A driver returns plausible values with the wrong units and scale.
You build
Sensor integration patch, readings and bus traces.
Assessed outcome: Handle disconnect/read failure without inventing valid sensor values.
08

Yocto image and BSP customization

Embedded Linux, Drivers & BSP

Put image changes in tracked build inputs.

+
Topics
•Layers, recipes, machine configuration, kernel configuration/patches, image contents, dependency pinning and licence manifests
Hands-on lab
Build a custom image with the driver and a small application; rebuild from documented inputs.
Failure scenario you solve
The demonstration depends on a manual target edit that is absent from the BSP layer.
You build
BSP layer and image manifest.
Assessed outcome: Explain which layer owns a change and prevent undocumented manual target edits.
09

Debug, profiling and release behavior

Embedded Linux, Drivers & BSP

Follow evidence across kernel and application boundaries.

+
Topics
•Dmesg, tracing, userspace system calls, resource leaks, boot/service failures, read-only filesystems and update concepts
Hands-on lab
Diagnose a supplied driver/application fault and record the evidence chain.
Failure scenario you solve
A stopped user-space service is initially mistaken for a broken sensor driver.
You build
Debug report and release/recovery checklist.
Assessed outcome: Separate kernel, service and hardware faults before changing code.
10

Independent BSP and driver capstone

Capstone

Rebuild and recover the complete appliance.

+
Topics
•Custom image, peripheral integration, service, failure handling and clean rebuild
Hands-on lab
Deliver a reproducible sensor appliance on the qualified Linux board.
Failure scenario you solve
The image works on one machine but its layer and source revisions were never recorded.
You build
Layer/patch/application repository and observed board demonstration.
Assessed outcome: Rebuild the image and diagnose an unseen probe, boot or concurrency defect.
11

Interview and portfolio defense

Career preparation

Review driver code as an owner.

+
Topics
•C lifetime, execution context, device-tree reasoning, boot logs and patch review
Hands-on lab
Complete a live driver-review exercise and explain a build/boot failure.
Failure scenario you solve
An assessor asks you to explain cleanup ordering while an interrupt or work item is pending.
You build
Portfolio case study and individual defense.
Assessed outcome: Explain why the selected subsystem and synchronization fit the device.

Scope note: Core depth is an existing-board BSP, sensor driver and system integration. PCIe/GPU/network-driver internals, full DMA frameworks, real-time Linux guarantees, new-SoC bring-up and production fleet OTA are extensions. A small character-device exercise can teach interfaces, but the capstone uses the appropriate sensor subsystem rather than a custom ABI for everything.

Tools and methods

Use a focused stack to build and explain your work.

C, Git, Make and cross-toolchainsBuild target applications and kernel components.
Pinned Linux kernel and device treeIntegrate hardware with matching APIs and bindings.
IIO and driver-model facilitiesUse an appropriate sensor interface.
Yocto and board BSP layersCreate a reproducible image configuration.
Serial console, QEMU and target boardPractise early development and real-board diagnosis.

The teaching environment uses a supported development board, compatible kernel and pinned Yocto layers. QEMU supports early exercises; final bring-up and peripheral outcomes require hardware evidence. Build-host requirements and board access are explained before enrollment.

Projects and portfolio

Three guided projects, followed by an independent capstone.

The guided projects develop across the modules and are part of the core curriculum.

Guided project 1

Cross-build and boot investigation

Run a target application and diagnose a controlled boot/root-filesystem problem.

Portfolio evidence
Build manifestSerial logsRecovery guide
Guided project 2

Device-tree and sensor-driver integration

Enable a sensor using the appropriate subsystem and test probe, scaling and read-error behavior.

Portfolio evidence
Device-tree patchDriver changesBus/readout evidence
Guided project 3

Custom Yocto image

Package a driver and service in a documented layer and rebuild from tracked inputs.

Portfolio evidence
BSP layerImage manifestClean-build instructions
Capstone

Embedded Linux sensor appliance

Build a custom image for a supported board, integrate an I2C sensor through IIO and expose readings through a small user-space service. Demonstrate clean rebuilds, error handling and boot recovery.

What you submit
  • •A clear scope, design or integration plan, and acceptance checklist.
  • •Your source files, scripts and configuration with a readable project guide.
  • •BSP layers, driver patches, boot logs, integration tests and recovery documentation.
  • •A failure investigation showing the cause, correction and recheck.
  • •A final report explaining results, assumptions and remaining limitations.
  • •An individual walkthrough and an unfamiliar debugging task.
What the assessor checks: Your implementation addresses the agreed project requirements, tests the relevant boundary and failure cases, and can be reproduced from the submitted materials. You explain your own contribution and support conclusions with actual results. A polished group demonstration alone does not meet the individual exit requirement.
Assessment and completion

Demonstrate what you can do.

RoboEdify · Certificate of Completion
Embedded Linux, Device Drivers & BSP Development
Presented to
Learner name
Awarded for completing the course's practical assessments and independently defending its capstone project.
Manikanta Kona
Founder · RoboEdify
ROBO
EDIFY
CERT
30%
Module labs
20%
Practical checkpoints
35%
Capstone
15%
Individual debugging and defense
The proposed completion standard is 70% overall, at least 60% separately in the capstone and individual defense, and completion of all mandatory practical requirements. Feedback identifies specific gaps for remediation and reassessment.
This is a proposed RoboEdify course credential. External accreditation, vendor certification and partner endorsement are not implied by the course title.
Career preparation

Prepare for relevant roles with work you can explain.

Embedded Linux TraineePractise cross-development, image integration and debugging.
BSP TraineeDevelop board-configuration and Yocto-layer skills.
Junior Driver/Integration EngineerBuild sensor-driver and lifecycle/error-handling experience.

Your career-preparation work includes a reviewed technical project summary, a readable repository, resume statements grounded in your contribution and a live technical interview. Role eligibility depends on each employer's requirements and your demonstrated skills.

Career support

Build your portfolio. Prepare your profile. Practise your interviews.

Career support includes portfolio and profile preparation, interview practice, and role-fit introductions where available. The shared hiring-partner network includes Infosys, TCS, Deloitte, Accenture, Cognizant, NTT Data and Capgemini.
01 / PORTFOLIO

Evidence from your own work.

For this course, your portfolio centres on BSP layers, driver patches, boot logs, integration tests and recovery documentation you complete.

02 / PROFILE

Profile and resume preparation.

A reviewed technical project summary, a readable repository and resume statements grounded in your contribution.

03 / INTERVIEWS

Interview practice and introductions.

Technical interview practice, with role-fit introductions where available.

RoboEdify does not guarantee an interview, offer, salary, employer, location or timeline.

Institute leadership

Meet the team behind RoboEdify.

MK
Manikanta Kona
Founder, RoboEdify · Enterprise AI Architect
Enterprise AI · Agentic Systems · LLM Platforms · Robotics & Edge AI
15 yrs
ENTERPRISE AI
2,400+
LEARNERS
4.9 /5
RATING

Manikanta brings 15 years of enterprise platform architecture experience from AT&T, Salesforce, Cox Communications and Broadcom. His background includes enterprise platform and AI rollouts for Fortune-500 banks, telcos and insurers, and production agentic-AI deployments for governed case handling.

Education: M.S. in Engineering, Purdue University.

RK
Ravi Krishna
Chief Technologist, RoboEdify · Implementation & Delivery Lead
Enterprise automation · Deployment · Evaluation evidence · Delivery governance
10 yrs
IMPLEMENTATION & DELIVERY
1,800+
LEARNERS
4.8 /5
RATING

Ravi leads RoboEdify's implementation and delivery practice. His background spans enterprise automation programs, deployment, evaluation evidence and delivery governance.

Industry voices from RoboEdify’s AI programs

What employers say about RoboEdify’s AI and robotics graduates.

The following testimonials retain their original program context. They describe AI, robotics and enterprise-program experience, rather than outcomes from this course.

Microsoft logo

RoboEdify grads ramp 40% faster on applied AI projects than typical hires. Best AI engineering pipeline in India.

Aakash Mehta

Aakash Mehta, Partner Programme Lead, Microsoft

Deloitte logo

We've onboarded 80+ RoboEdify alumni in 18 months. Lowest ramp time we've seen for ML plus AI agent practices.

Anita Sharma

Anita Sharma, Senior Manager, Deloitte

Mphasis logo

The programme is comprehensive — predictive ML, LLM systems, plus agentic and robotics work. Grads come pre-trained for enterprise.

Rahul Bhatt

Rahul Bhatt, Solutions Lead, Mphasis

TCS logo

Their agent + robotics track produces engineers who ship production-grade perception and control code on day one. Genuinely rare.

Deepak Pillai

Deepak Pillai, Senior Architect, TCS

Accenture logo

What sets RoboEdify apart is the simulation-to-hardware layer baked into the AI track. Our clients ask for exactly this profile.

Suresh Menon

Suresh Menon, Practice Lead, Accenture

Infosys logo

Their fundamentals prep is rigorous, and the capstone with a real deployed system and safety case is what closes interviews for us.

Vikram Iyer

Vikram Iyer, Director, Infosys

Wipro logo

RoboEdify's AI grads get models into production twice as fast in the first 90 days. Our internal metrics back this up clearly.

Lakshmi Nair

Lakshmi Nair, VP Engineering, Wipro

Cognizant logo

Best AI + robotics pipeline we've sourced from in India. Their projects are production work, not toy code.

Karthik Subramanian

Karthik Subramanian, Engineering Director, Cognizant

Capgemini logo

Strong ML and edge-deployment foundation. Their grads need almost zero ramp time on enterprise engagements with us.

Arun Joshi

Arun Joshi, Practice Director, Capgemini

IBM logo

We've placed 40+ RoboEdify alumni across our AI and automation teams. Strong fundamentals, sharp on the agent stack.

Sanjay Verma

Sanjay Verma, Talent Director, IBM

LTIMindtree logo

ITOM + Predictive Intelligence is exactly the talent gap we've been struggling to close. RoboEdify is filling it for us reliably.

Anjali Desai

Anjali Desai, Practice Head, LTIMindtree

Tech Mahindra logo

Their AI track delivers engineers who navigate data, models and integrations on customer engagements unsupervised.

Ramesh Iyer

Ramesh Iyer, Senior Manager, Tech Mahindra

Cyient logo

Hired 25+ RoboEdify graduates for our AI practice. Strong coding, strong ML depth, sharp on the agent layer.

Geetha Pillai

Geetha Pillai, Talent Acquisition Lead, Cyient

Microsoft logo

RoboEdify grads who blend robotics with Azure OpenAI land production-ready on day one. Rare combination, well-trained.

Priya Reddy

Priya Reddy, Talent Lead, Microsoft

AI alumni across RoboEdify

Meet alumni featured in our AI programs.

SB
Spandana Bala
ML Engineer
Hyderabad · India
Now at · Infosys
NV
Naveen Vedala
AI Agent Engineer
Hyderabad · India
Now at · TCS
TA
Tejashwini Addla
Simulation Engineer
Hyderabad · India
Now at · Deloitte
TD
Tharunesh Dillikar
Robotics Software Engineer
Seattle · United States
Now at · Accenture
MM
Mujahed Mohammed
Edge AI Engineer
Hyderabad · India
Now at · Accenture
BK
Bhargav Kumar Murala
Physical AI Engineer
Hyderabad · India
Now at · Capgemini
SL
Sai Manasa Leburi
Autonomous Systems Engineer
New York · United States
Now at · NTT Data
RD
Rahul Dhamma
Robot Learning Engineer
Hyderabad · India
Now at · Cognizant
Our locations

Come chat with us—on campus or online.

Flagship campus
Hyderabad
2nd Floor, Hitech City Road · Above Domino's · Opp. Cyber Towers, Jai Hind Enclave · Hyderabad, Telangana
Call
+91 8142998866
US desk
+1 256 388 7766
Opening hours
Mon–Sun · 7 AM–9 PM
Online
Global
Live online classes and mentorship, with working-professional learning options. Linux labs combine emulation and a supported development board; build and board access are explained before enrollment.
Format
Live online + mentorship
Options
Working-professional
Learning support

Support when you need to catch up.

Freeze your seat for up to 90 days and rejoin the next class at no extra fee. TAs run catch-up sessions every Saturday, and recordings of every live session are available for the lifetime of your account.

FAQs

Questions about prerequisites, tools and completion.

Do I need to finish the MCU firmware course first?+
It can help, but it is not mandatory. Equivalent C, Linux and hardware-interface competence can be demonstrated through the diagnostic.
Will I port Linux to a completely new chip?+
No. The course starts with an existing supported board BSP. New-SoC bring-up is beyond the core scope.
Which build system is used?+
Yocto is the primary image/BSP workflow. The exact release, kernel and layers are pinned together for the teaching platform.
Will I write only a character-device driver?+
The course teaches driver fundamentals, while the sensor capstone uses the appropriate IIO subsystem rather than a custom interface for every device.
Can I complete everything in an emulator?+
Emulation supports early labs. The complete practical outcome also requires observed board boot and peripheral behavior.
Can graduates and working engineers both join?+
Yes, subject to the stated entry requirements. Both follow the same practical core, with preparation assigned through a diagnostic. Advanced pathways require the relevant foundations before their bridge.
How is the learning workload structured?+
The program combines live mentor-led classes, guided labs, project work and support sessions. An advisor can explain the current class format before enrollment.
Can I study online or on campus?+
RoboEdify offers its Hyderabad campus, live online classes and a working-professional format. Discuss the course-specific lab access and class format with an advisor.
What if I fall behind or need to pause?+
You can freeze your seat for up to 90 days and rejoin the next class at no extra fee. Saturday catch-up sessions and recordings of every live session support your learning. Recordings remain available for the lifetime of your account.
Is placement guaranteed?+
No. Career support includes portfolio and profile preparation, interview practice and role-fit introductions where available. RoboEdify does not guarantee an interview, offer, salary, employer, location or timeline.
What if I do not meet a practical requirement?+
Feedback identifies the missing capability and the work needed for reassessment. Attendance alone does not meet the proposed completion standard. Confirm course-specific reassessment arrangements before enrollment.
How can I learn about fees and lab access?+
Speak to a course advisor about the current offering, preparation requirements, fees, equipment or software access and learner-support terms.

Still have a question?

Find your starting point in Embedded Linux, Drivers & BSP.
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Plan your learning

Course
Embedded Linux, Device Drivers & BSP Development
Preparation
Diagnostic-based preparation before the common core
Level
Specialist
Curriculum
11 modules

Confirm your intake dates, delivery mode, fees, assessment and practical access with RoboEdify before enrolling. Course content describes the learning scope; an enquiry does not reserve a seat.