Enrollment Open — June 2026

Embedded Linux
Diploma with
Edge AI2026

Master the complete embedded Linux stack — C++, Yocto, Device Drivers, and Edge AI — on real hardware including Raspberry Pi, BeagleBone Black, and NXP i.MX boards.

c++17RustPython 3Bash / ShellYoctoRaspberry PiBeagleBoneiMX8Claude AIMCPDevice DriversYocto / OE
10,000+
Engineers Trained
237
Session Hours
700
Online Session & Followup Hours
10+
Yrs Experience
raspberry-pi-5
$
Embedded Linux UI Component
JTAG Linux Hardware
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Meet Your Instructor

Who is Moatasem Elsayed?

Eng. Moatasem Elsayed

Eng. Moatasem Elsayed

Senior Embedded Linux Software Engineer

Signify — Netherlands

Moatasem Elsayed is a Senior Embedded Linux Software Engineer at Signify in the Netherlands, with over 10 years of hands-on experience in embedded systems, Linux kernel development, Yocto Project, and device drivers.

As the founder of PN Junction, he has trained and mentored 10,000+ engineers who now work at leading companies across the globe — from automotive and industrial to medical and IoT domains.

His mission is to bridge the gap between academic knowledge and industry requirements, preparing engineers to be truly job-ready — including the possibility of working with the companies he collaborates with.

10+ Years Experience
Embedded Linux industry
Signify
Senior Embedded Linux Engineer
Netherlands
Based in Eindhoven
10,000+ Engineers
Trained & mentored
PN Junction
Founder & Lead Instructor
Multi-Domain
Automotive, IoT, Medical
Trainers work at:ValeoSignifyEatonHID

What is Embedded Linux?

Embedded Linux refers to the use of the Linux operating system in embedded systems — computer systems designed for specific purposes within larger systems.

With the rise of Edge AI, embedded Linux systems now power intelligent devices at the edge — running AI inference directly on hardware without cloud dependency, enabling real-time decision-making in automotive, industrial, medical, and IoT applications.

📱Smartphones🚗Automotive🏭Industrial🏥Medical📺Smart TVs🤖Edge AI📡IoT📷Cameras
boot.log · AM3358
U-Boot> bootz 0x82000000 - 0x88000000
Kernel: arch/arm/boot/dts/am335x-boneblack.dtb
[ 0.000000] Booting Linux on physical CPU 0x0
[ 0.002543] AM33XX GPIO controller at 0x44e07000
[ 0.148920] omap_i2c 44e0b000.i2c: bus 0 rev 4.0
[ 1.374200] systemd[1]: Reached target Multi-User System
[ 1.820000] Login prompt ready ✓
Edge AI · Linux Pipeline
InputLinuxAI ModelOutputSensorGPIOCameraKernelDriverV4L2LLMTFLiteActionStream
InputSensor / GPIO / Camera
LinuxKernel + Drivers
AIllama.cpp / TFLite
OutputActuator / Decision
Technology Stack

Master Every Layer

From low-level C++ and kernel modules all the way to AI-powered development tools — the complete embedded Linux engineer toolkit.

Languages

c++17core

Systems programming, STL, templates, RAII

Rustcore

Memory-safe systems, ownership, async

Python 3core

Scripting, automation, AI tool integration

Bashcore

Shell scripting, init scripts, build automation

System Layer

Linux Kernelcore

Kernel config, modules, BSP porting

Yocto Projectcore

Custom distro, layers, BitBake recipes

U-Bootcore

Bootloader configuration and customization

BusyBox/Rootfscore

Minimal userspace toolchain for embedded

Dev Tools

GCC / Clangtool

Cross-compilation aarch64, arm-linux-gnueabi

QEMUtool

Hardware emulation & rapid target testing

GDB + OpenOCDtool

Debugging from bare-metal to Linux userspace

Dockertool

Reproducible build & CI environments

AI & Automation

Claude AIai

Prompt engineering for embedded workflows

MCP Protocolai

AI agents connected to hardware & tools

FineTunningai

Model optimization and customization

n8nai

Workflow automation pipelines & agents

Hands-On Hardware

Real Boards, Real Skills

Work with actual embedded Linux boards — from prototyping to automotive-grade SoCs.

Raspberry Pi 5
Primary Lab Board

Raspberry Pi 5

BCM2712 — Cortex-A76

BCM2712
4/8 GB LPDDR4X
40-pin GPIO2× USB 3.0PCIe 2.0HDMIWiFi/BT
BeagleBone Black
Industrial

BeagleBone Black

TI AM3358 — Cortex-A8

Cortex-A8
512 MB DDR3L
92 GPIO pins4 GB eMMC2× PRU coresUSB OTGEthernet
NXP i.MX 93
Automotive / Industrial

NXP i.MX 93

Cortex-A55 + Cortex-M33 · EdgeLock™ Secure Enclave

Dual Cortex-A55
Up to 2 GB LPDDR4
NPU · MIPI-CSI/DSI
Dual CAN-FDPCIe 3.0MIPI-CSI/DSIEdgeLock™ SEeIQ MLUSB 3.0eMMC 5.1

Any ARM-based embedded Linux board works. The curriculum is hardware-agnostic by design.

Curriculum Overview

237 Hours of Live Training

A comprehensive curriculum designed to take you from fundamentals to job-ready embedded Linux engineer with Edge AI capabilities.

TopicHoursCat
Python21:41:39Core
C++32Core
Linux20Core
✦Intro to ML, NLP & Transformers (Infrastructure)New · 20269Edge AI
✦Fine-Tuning LLMsNew · 20269Edge AI
✦AI Tools (Claude Code, n8n, MCP, Agents)New · 20269Edge AI
Bash Scripting10:15:45Core
Raspberry Pi26Core
Yocto Project35Core
🔒Embedded Linux SecurityNew · 202615Sec
C++ Design Patterns15:31:20Core
Device Drivers9Core
Rust12:02:13Core
Docker8Core
Unit Testing8Core
Troubleshooting Techniques8Core
Monitoring Project9Core
Total237 hr
+ Follow-up484 hr
Grand Total721 hr

Job-Ready Milestone

You can start applying to jobs after completing the Yocto module — that's just 5 months into the program.

Detailed Breakdown

Session-by-Session Curriculum

Session 1 — Introduction (03:55:34)
Introduction to PythonData TypesI/O, Loops, Conditions
Session 2 — String & Functions (03:05:17)
StringsFunctionsModules
Session 3 — Lists & Modules (03:01:05)
ListsModulesAdvanced Imports
Session 4 — Tuple, Set, Dict & Libraries (03:06:37)
TupleSetDictionaryLibrariesPyAutoGUI
Session 5 — Class & Package (03:16:26)
ClassPackagesOOP Concepts
Session 6 — Files, try/except & Property (02:42:39)
Files & CSVError Handlingtry/exceptProperty
Session 7 — Thread, Socket, System & GUI (02:34:01)
ThreadsSocketSystem ModulesGUI
Session 1 (4hr)
IntroductionI/O & Data TypesOperators & MemoryControl Flow
Session 2 (4hr)
FunctionsArrays & PointersReferences & AutoCasting & Lambda
Session 3 (4hr)
Thinking with C++Enum & Struct/ClassConstructors & DestructorsDelegation
Session 4 (4hr)
Overloading & CopyRvalue/LvalueMove Semantics & Rules
Session 5 (4hr)
Inheritance & OverridingInterfaceSTL Part 1
Session 6 (4hr)
STL Part 2AlgorithmTry/Catch & RAIINamespace & New/Delete
Session 7 (3hr)
Smart PointersTemplatesIterators & Streams
Session 8 (3hr)
ThreadingFile Management
Session 1 (4hr)
Intro & HistoryWhy Embedded LinuxBooting SequenceSystem CallsUbuntu Installation & File System
Session 2 (4hr)
ShellMemory AllocationNavigation Commands
Session 3 (6hr)
Creation CommandsEditing CommandsPiping & LogicTracing
Session 4 (6hr)
Searching & NetworkingSystem InfoProcess & User ManagementMounts & Links
ML Intro — Session 1 (3hr)
What is ML?Supervised / Unsupervised / RLML PipelineLinear & Logistic RegressionDecision TreesPrecision, Recall, F1
NLP — Session 2 (3hr)
Text PreprocessingTokenization & LemmatizationTF-IDFWord2Vec & GloVeRNN & LSTMSentiment Analysis
Transformers & Edge — Session 3 (3hr)
Attention & Self-AttentionEncoder–Decoder ArchitectureBERT & GPT OverviewHugging Face
Fine-Tuning LLMs — Session 1 (3hr)
Fine-Tuning vs Pre-trainingTransfer LearningDataset PreparationHF Datasets & TokenizersTraining Hyperparameters
Fine-Tuning LLMs — Session 2 (3hr)
LoRAQLoRAPEFT LibraryFine-Tune LLaMA / Unsloth
Fine-Tuning LLMs — Session 3 (3hr)
GGUF / ONNX / INT4llama.cppOllamaEdge Deployment Project
AI Tools — Session 1 (3hr)
Claude Code CLICustom CommandsCLAUDE.mdHooksMCP ProtocolMCP Server
AI Tools — Session 2 (3hr)
Skills & PromptsClaude IntegrationAI AgentsMulti-AgentTool Use
AI Tools — Session 3 (3hr)
n8nExternal ServicesWebhooks & APIsAutomation ProjectAgents on Edge
Session 1 (3hr)
IntroductionI/O, Loops, IfExpressions & Arguments
Session 2 (3hr)
Switch & SelectStrings & Functions
Session 3 (3hr)
Arrays & FilesGetopts & AdministrationLabs
Session 1 — Introduction
Setup OSRemote GUI/TerminalRPi EcosystemGetting Started
Session 2 — GPIO
GPIO with LEDsDigital I/OC/C++/Python
Session 3 — PWM
PWM BasicsServo ControlDuty Cycle & Frequency
Session 4 — TTY & UART
UART CommunicationTTY InterfaceSerial Protocols
Session 5 — SPI, I2C & Device Tree
SPI ProtocolI2C ProtocolDevice Tree BasicsPeripheral Integration
Session 6 — Bring Up DTS
DTS OverlaysDevice Tree SourceBring Up Device/Driver
Session 7 — Kernel Modules
Driver as ModuleCross CompilerKernel UpdateModule Loading
Session 8 — IoT & OSI Model
OSI ModelTCP/IP StackIoT ProtocolsNetwork Setup
Session 9 — NetworkManager & MQTT
Static IP & WiFiNetworkManagerMQTTSSH TunnelProject
Session 10 — Graduation Project Ideas
Project IdeasProject PlanningSoftware Download App
⭐ Edge AI on RPiEdge AI
Deploy LLM on RPillama.cpp SetupModel QuantizationAI + GPIO InteractionEdge Inference Project
Session 1 (4hr)
Embedded Linux IntroCross CompilersYocto ConceptsBitBake Mechanism
Session 2 (4hr)
Layers & ConfigsWrite Recipes (Python/C)Create Layer & Image
Session 3 (4hr)
Create DistroSystemd & Speed UpRaspberry Pi MachineBuild History
Session 4 (3hr)
Recipes: C, C++, Makefile, CMakeTar & Git Recipes
Session 5 (3hr)
Git Remote RecipeSystemV & Systemd StartupDevtool & Shells
Session 6 (3hr)
Packages & FilesSDKPatch & Modify Kernel
Session 7-8 (6hr)
U-Boot TFTPNFS RootfsMLX90614 Driver Bring-upUML & Sequence DiagramsApplication Development
⭐ Edge AI with YoctoEdge AI
Integrate llama.cppYocto IntegrationFine-Tuned ModelHardware Control via LLM
Session 1 — Security Fundamentals (3hr)
Confidentiality/ Authorization/IntegritySymmetric & Asymmetric EncryptionHash Functions & Digital Signatures
Session 2 — Secure Boot & dm-verity (4hr)
Chain of TrustRoot of Trust · SoC ROMFIT Image Signing (RSA/ECDSA)U-Boot Verified Bootdm-verity · Block IntegrityBoot on RPi5 / i.MX93
Session 3 — Encryption & Key Storage (4hr)
dm-crypt / fscryptTPM2 Key Sealing & PCRsNXP CAAM · OP-TEE Secure StorageLinux CapabilitiesSELinux / AppArmor PoliciesASan · Hardening Flags
⭐ Session 4 — Sandboxing, OTA & Final Project (4hr)Final Project
seccomp · namespaces · cgroupsDocker on Embedded (read-only + seccomp)ARM TrustZone & OP-TEEEnd-to-End Secure Boot Project
Session 1 (3hr)
InductionPseudo Driver
Session 2 (3hr)
GPIOPlatform DriverLED Framework
Session 3 (3hr)
IoctlI2CProcfsMLX90614Attributes
Session 1 (3hr)
SOLID PrinciplesPlantUML (UML, Sequence, Flowchart)
Session 2 (3hr)
Creational: Factory, Abstract, Builder, Prototype, Singleton
Session 3 (3hr)
Structural: Adapter, Bridge, Composite, Decorator, Facade, Flyweight, Proxy
Session 4 (3hr)
Chain of Responsibility, Command, Interpreter, Iterator
Session 5 (3hr)
Observer, State, Strategy, Template, Visitor
Session 1 (4hr)
IntroductionCommands
Session 2 (4hr)
DockerfileVolumes & NetworksDocker Compose
Session 1 (4hr)
Setup & TestsMatchersTEST_F & TEST_P
Session 2 (4hr)
DoxygenTDDGoogle CoverageTips & Hacks
Session 1 (4hr)
GDBValgrindCppcheck
Session 2 (4hr)
Sysfs & ProcfsLinux Tools
Session 1 (3hr)
InductionData TypesConditions & Loops
Session 2 (3hr)
Functions & OwnershipCargo & Enum
Session 3 (3hr)
Struct & TraitsStandard Libraries
Session 4 (3hr)
Packages & ModulesWorkspace
Session 5 (3hr)
Pointers
Session 6 (3hr)
Threads
Edge AI Integration

AI-Powered Embedded Development

EL2026 introduces dedicated Edge AI modules that bridge the gap between traditional embedded engineering and modern AI workflows.

Intro to ML, NLP & Transformers

Learn machine learning fundamentals, natural language processing, and transformer architectures for embedded AI applications.

9 hours live
3 sessions
• Machine Learning Basics
• NLP Fundamentals
• Transformer Architectures
New

Fine-Tuning LLMs

Master techniques to customize large language models for specific embedded systems applications and domain-specific tasks.

9 hours live
3 sessions
• Fine-Tuning Techniques
• Domain Adaptation
• Model Optimization

AI Tools — Claude Code, n8n, MCP, Skills, Agents

Master AI-powered development tools and automation platforms to integrate AI workflows with embedded Linux systems.

9 hours live
3 sessions
• Claude Code & AI Coding
• n8n Automation
• MCP, Skills & Agents
Schedule & Format

When & How You'll Learn

Live Sessions

Every Friday & Tuesday
7:30 PM — 10:30 PM
Starting June 19, 2026
Online Live via Zoom
~7 Months Duration
Job-ready after 4 months

Follow-up Sessions

Sunday to Thursday
8:00 PM — 10:00 PM
With Mentors
Dedicated mentor support
Optional but Recommended
484 additional hours available

Practical Approach

Simulation (QEMU)
Practice with virtual embedded environments if you don't have hardware.
Workshop Days
Hands-on Raspberry Pi sessions at locations in October / Giza / Cairo. Borrow our boards on-site.
Testimonials

Feedback from Our Graduates

Hear from engineers who transformed their careers through PN Junction's Embedded Linux Diploma.

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Pricing

Choose Your Package

Recommended

Live Package

Attend live with Moatasem + recordings + follow-up

5,000EGP
Attend all live sessions with Moatasem
Full access to recorded sessions
Follow-up sessions with mentors
237 live + 484 follow-up hours

Recorded Package

Full recordings + follow-up with mentors

4,500EGP
Full access to recorded sessions
Follow-up sessions with mentors
No live session access
484 follow-up hours

For Previous Recorded Packages please contact us through Whatsapp

2025 Recorded
4,000 EGP
Full recordings · Follow-up with mentors
2024 Recorded
3,500 EGP
Full recordings · Follow-up with mentors
2023 Recorded
3,000 EGP
Full recordings · Follow-up with mentors
Payment

How to Pay & Register

1

Register

Fill in the registration form on this website.

2

Check Email

You'll receive a confirmation email with your payment details and reference UUID.

3

Pay & Confirm

Make payment & send receipt via WhatsApp.

01112932885

Payment Methods

HSBC Bank Transfer
IBAN: EG710025007400000074137076001
Account: 074137076001
Instapay
@ moatasemelsayedzein@instapay
Open payment link →
Etisalat Cash
Number: 01112932885
Vodafone Cash
Number: 01020095159
Revolut (International)
revolut.me/moatasem_e →
FAQ

Frequently Asked Questions

Absolutely! We use two techniques: Simulation via QEMU for virtual embedded environments, and Workshop Days on Raspberry Pi at different locations (October / Giza / Cairo). If you don't have a board, you can borrow ours on-site.

10+ years of experience in embedded systems. Senior Embedded Linux Software Engineer at Signify in the Netherlands.

We start from scratch! You only need basic knowledge of software and C programming. Everything else is taught from the ground up.

Edge AI refers to running AI inference directly on embedded devices (at the "edge") rather than in the cloud. This is the fastest-growing area in embedded systems. EL2026 includes Prompt Engineering, MCP, and AI coding tools to prepare you for this paradigm shift.

You can start applying after completing the Yocto module — approximately 4 months into the program. The full diploma takes ~7 months, but the job-ready milestone comes much earlier.

The 2026 edition includes new Edge AI modules (Prompt Engineering, AI using MCP, AI Coding tools),Secure boot, Embedded Linux Security, updated content across all topics, and enhanced project work. The 2025 recorded package (190hr, 4000 EGP) comes with follow-up support on 2026 content via WhatsApp with mentors.

Ready to Build the Future of Embedded AI?

Join 300+ graduates who transformed their careers with PN Junction. Your journey from zero to job-ready embedded engineer starts here.

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