Wadix Technologies creates in-depth, engineering-first online courses for people who want to build real capability in modern embedded systems, secure firmware, processor architecture, build systems, and edge AI. Our training is designed for developers who are tired of “hello world” tutorials and want practical understanding you can apply to real codebases, real toolchains, and real constraints.

What you’ll find on our Udemy channel

We publish courses that span core embedded fundamentals and today’s most relevant technologies:

1) Arm Cortex-M33 & Armv8-M TrustZone (Security on MCUs)
Learn how TrustZone works at the architecture level and how it’s used in production firmware: secure vs non-secure world concepts, memory partitioning, secure gateways (veneers), SAU/IDAU basics, interrupt considerations, secure boot concepts, and common integration patterns.

2) RISC-V Processor Architecture (from fundamentals to practical use)
Clear coverage of RISC-V design principles, ISA concepts, privilege modes, exceptions/interrupts, CSR basics, ABI considerations, and how architectural choices affect firmware development, performance, and portability.

3) Build Systems for Embedded: Makefiles that actually scale
Move beyond single-file Makefiles into maintainable builds: targets, dependencies, incremental builds, pattern rules, variables, include files, multi-directory projects, build configurations (debug/release), and practices that fit embedded projects and CI.

4) C Compiler Toolchain for Embedded (GCC/Clang workflow & realities)
Understand the full pipeline: preprocessing → compilation → assembly → linking. Cover linker scripts, sections, startup code, map files, symbol visibility, optimization tradeoffs, debugging, binary size control, and how toolchain decisions impact runtime behavior.

5) Edge Machine Learning with Arm NPU (Ethos)
Practical edge AI workflows: what runs on CPU vs NPU, model constraints, quantization basics, deployment considerations, performance bottlenecks, memory bandwidth, and how to reason about throughput/latency on embedded platforms.

How we teach

Our instructors are practicing engineers with 15–20+ years in embedded development. The courses focus on correct mental models, tool-driven workflows, and production-style patterns—so you can ramp up faster, make fewer mistakes, and keep pace with how embedded systems are actually built today.

If you’re working with C/C++, microcontrollers, firmware security, RISC-V, Arm Cortex-M, build systems, or edge AI, explore the course catalog and choose a path that matches your goals—foundation, specialization, or advanced topics.