Training > IoT & Embedded Development > AI-Assisted Embedded Development (AC6402)
INSTRUCTOR-LED COURSE

AI-Assisted Embedded Development (AC6402)

Bring AI coding agents into embedded development without losing engineering rigor. Firmware is bound to specific hardware, so an agent’s plausible guess can compile cleanly and still fail on the target. This course teaches an evidence-first workflow that keeps AI-generated firmware controlled, tested, and defensible.

Who Is It For

For embedded engineers, firmware developers, and technical leads who want to put AI coding agents to work in real development while keeping full control over what reaches hardware.
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What You’ll Learn

Write functional specification documents that steer AI coding agents, ground them in SVD files, reference manuals, and errata, and extend them with MCP servers and reusable skills. Review, test, and simulate the generated firmware to confirm it runs correctly on the hardware.
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What It Prepares You For

Contribute to AI-assisted firmware work with the ability to explain and defend each generated change in a design review. These are practical skills for senior developer and technical lead roles as embedded teams adopt AI-assisted development.
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Course Outline
Course Introduction
The AI tooling landscape for embedded engineers
Prompting for embedded problems
Spec-driven development and functional specification documents
AI Assistants in your IDE and CLI
Datasheets, SVDs, reference manuals and project context
Model Context Protocol (MCP)
Designing AI agents for embedded development
Skills, reusable configuration and multi-tool orchestration
Validating AI-generated embedded code
AI Security and audits

Prerequisites
Working knowledge of C, hands-on experience with embedded targets, and basic comfort with Git and the command line. No prior AI experience is required.
Lab Info
For virtual classes, you need a computer with a web browser and a stable internet connection, and your corporate VPN, proxy, or firewall must allow access to the remote lab services. The course provides the software, AI access, and lab materials, so no personal AI subscription, API key, or tool license is required.