AI-Assisted Embedded Driver Engineering
Ship spec-driven peripheral drivers with AI-assisted review and verification
Created by Israel Gbati
Learn how to build reliable embedded peripheral drivers using a structured, AI-assisted workflow. Move beyond code snippets to create drivers that are fully specified, reviewed, verified, and ready for release. Gain hands-on experience with industry tools and best practices for disciplined firmware development.
Packt | Jun 2026 | 436 min
What You Will Learn
You will start by setting up your development environment and establishing project standards. Step by step, you will use AI as a peer programmer to generate, review, and verify driver code. Each section focuses on creating, testing, and documenting drivers, with an emphasis on evidence and reviewable changes.
Key Features
- Translate peripheral requirements into reviewable, verifiable driver patches
- Collaborate with AI to maintain project standards and ensure code quality
- Build and verify drivers for GPIO, UART, timers, ADC, and external interrupts
Target Audience
Ideal for embedded developers, firmware engineers, and technical leads with some experience in C and embedded systems. If you want a repeatable process for building and verifying drivers-especially for STM32 peripherals-while leveraging AI responsibly, this course is designed for you.
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