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AI-assisted embedded driver engineering.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Embedded computer systems.
- Artificial intelligence.
- Physical Description:
- 1 online resource (1 video file (7 hr., 16 min.)) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Birmingham, United Kingdom] : Packt Publishing, 2026.
- Summary:
- In this 7-hour course, use AI assistance within a disciplined embedded driver workflow. Move from requirements and patch review to proof harnesses, verification evidence, and release-ready packaging. What I will be able to do after this course Define requirements for embedded peripheral drivers Guide AI tools with codebase standards Review driver patches before integration Verify GPIO, UART, timer, ADC, and EXTI drivers Create proof harnesses with pass and fail criteria Course Instructor(s) Israel Gbati is a firmware engineer with over a decade of hands-on experience, educator to more than 100,000 professionals, entrepreneur, and award-winning inventor. He holds a Bachelor's degree in Mechanical Engineering and Automation plus double Master's degrees in Global Innovation Design from Imperial College London and the Royal College of Arts, and founded EmbeddedExpertIO and cofounded BiostealthAI. Who is it for? This course is for embedded developers, firmware engineers, and technical leads who want a structured AI-assisted workflow for peripheral driver creation. It is useful for STM32 developers and teams that need reviewable, evidence-backed firmware.
- Notes:
- OCLC-licensed vendor bibliographic record.
- ISBN:
- 9781808499074
- OCLC:
- 1602641491
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