Udemy - Customizing and Deploying Embedded Linux Systems

Customizing and Deploying Embedded Linux Systems

https://WebToolTip.com

Published 5/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 58m | Size: 1.57 GB

From Microcontroller Dependency to Principal Architect: Master Yocto, Secure Boot, RAUC OTA, eBPF, and Edge K3s.

What you'll learn
Architect custom, production-grade embedded operating systems from the ground up using both the Buildroot philosophy.
Compile and modify cross-compilation toolchains with fine-tuned parameters for custom ARM64 and x86-64 silicon environments.
Enforce hardware-rooted security parameters, including cryptographic Secure Boot signing keys, TPM 2.0 TSS interfacing, and ARM TrustZone/OP-TEE deployments.
Configure sub-millisecond latency deterministic control systems by patching, configuring, and building a custom PREEMPT_RT Real-Time kernel.
Implement atomic, zero-risk fleet Over-The-Air (OTA) update frameworks with dual A/B partition layouts, hardware watchdogs, and signed RAUC or Mender bundles.
Deploy resource-optimized, containerized Edge AI models and lightweight Kubernetes (K3s) orchestration clusters directly onto low-power custom boards.
Profile kernel-level I/O anomalies and network latencies with zero overhead using custom eBPF probes, perf, and systemd-analyze traces.
Automate regulatory compliance frameworks by integrating automated CycloneDX software bills of materials (SBOM) to meet strict EU Cyber Resilience Act mandates.
Survive a 12-hour air-gapped disaster recovery simulation, building a self-healing, read-only AI drone operating system from an empty repository.

Requirements
Operating System: A dedicated development machine running Ubuntu 22.04 or 24.04 LTS (native installation highly recommended, or a performance-allocated WSL2 environment on Windows 11).
Hardware Specifications: Multi-core x86-64 CPU (minimum 8 physical cores recommended for Yocto compilation acceleration), 16GB RAM minimum (32GB preferred), and at least 150GB to 250GB of free high-speed SSD storage. No physical target hardware boards are required—all embedded environments are fully emulated via QEMU.
Software Stack: Docker Engine and Git must be installed on your build host prior to beginning Module 1.
Prior Knowledge: Intermediate familiarity with C/C++ programming and regular command-line operations (navigating directories, scripting fundamentals). No prior kernel-level development, board support package (BSP) writing, or systems-architecture experience required; the course scales linearly from basic execution to enterprise-grade mastery.