Source: https://www.udemy.com/course/embedded-systems-development/What you’ll learn
- Architect production-grade, zero-trust edge infrastructure compliant with 2026 global mandates like DORA and the EU AI Act.
- Compile custom Linux kernels and write optimized Device Tree Overlays to seamlessly expose low-level ARM peripherals.
- Program the BeagleBone’s dual Programmable Real-Time Units (PRUs) in C and Assembly for nanosecond-level deterministic control.
- Deploy lightweight Kubernetes clusters (K3s) on embedded silicon using GitOps workflows and automated ArgoCD reconciliation.
- Integrate hardware-rooted security by wiring and provisioning a physical TPM 2.0 cryptographic module over the I2C bus.
- Quantize and execute local Machine Learning models using TensorFlow Lite and OpenCV for offline, sovereign vision processing.
- Trace kernel-level bottlenecks and secure edge network traffic using advanced eBPF programs and XDP packet filtering.
- Construct a fully autonomous, hard real-time drone navigation system in a 12-hour PhD-level capstone implementation.
Requirements
- Software: Access to a modern terminal environment. Familiarity with standard Git commands is assumed.
- Programming: Intermediate knowledge of C/C++ and basic familiarity with Linux command-line operations (SSH, package management). No prior hardware kernel-hacking or assembly experience is required.
Download Links
Password: cms.ddpanda.org
