AI-Assisted Embedded Development Training
AI-Assisted Embedded Development Training
AI-Assisted Embedded Development Training
AI coding assistants have reached embedded teams, but they were not built for silicon. This three-day course, run by AC6 and shaped in collaboration with Embedd, teaches firmware engineers to use AI tools well, to recognise where they break on hardware, and to validate everything on target before it ships.
Why we put this course together
AI is good at web apps. On embedded it falls apart. Generic assistants invent registers, misread timing, and produce drivers that do not survive contact with a datasheet. Prompting harder does not fix that. Knowing how to drive the tools, and how to check their work on real hardware, does. That is the skill this course builds.
Most engineers are already experimenting. Few have a method. Teams are reaching for Copilot and Claude already, but without a repeatable way to use them. The course gives you one: a path from a loose request, to a specification that acts as a contract, to generated code, to firmware that passes on target. Spec-driven, not vibe-driven.
Embedd works at the exact point where generic AI stops. We generate production firmware from digital twins of chip hardware, so the hard cases, registers, concurrency and timing, are our daily problem. The course is built on what we have learned solving them, and AC6, a specialist embedded training provider with 250+ courses across Europe, leverages their knowledge and teaches it.
It is built for production, and for policy. Roughly half the course is hands-on, on real boards. It covers IP, data residency and how to write an AI policy your team can actually follow, and the content aligns with the AI literacy obligation under Article 4 of the EU AI Act.
What you will walk out able to do
Drive AI assistants on real work: Claude, Copilot and Codex, in the IDE and from the command line
Prompt for embedded problems, and catch hallucinations before they reach a build
Write specifications and FSDs that the generated code has to meet
Configure MCP servers and feed the right datasheet pages, not the whole PDF
Design AI agents, including a build-flash-test loop that recovers from its own failures
Build reusable Skills that encode your team's coding standards
Validate generated firmware on target across register, concurrency and timing faults
Apply IP and data-handling rules to your day-to-day work
The three days
Day one: the AI tooling landscape for embedded, prompting for embedded problems, spec-driven development and FSDs, and AI assistants in the IDE and CLI
Day two: getting the right context out of datasheets and reference manuals, the Model Context Protocol, and designing AI agents for embedded work
Day three: reusable Skills and multi-tool orchestration, validating AI-generated code, and data handling and IP
Who should attend
Embedded and firmware engineers comfortable with C, an embedded target, Git basics and the command line. No prior AI experience needed.
Format
Three days, roughly 50 to 60% hands-on
Boards, PCs with VS Code, AI tool accounts, pre-installed CLI assistants and preconfigured MCP servers all provided
Public sessions at AC6, private sessions on your premises, or live online by arrangement
Quizzes throughout and a completion certificate