Course overview
Start hereAI for Embedded Systems Engineers
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Priya's Wednesday, two ways

9 lessons · 26 prompts

A day in the life of an Embedded Systems Engineer: what changes with these prompts.

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Priya, an embedded systems engineer at a medical device company.

Priya starts her Wednesday with a stubborn firmware bug in a motor controller. She opens ChatGPT and types: 'Help me write initialization code for an STM32 timer in PWM mode with a prescaler of 71 and a period of 999.' It gives her a template she adapts in minutes.

Next, she needs to understand a new ADC peripheral. She pastes a dense datasheet section into Claude and asks: 'Summarize the register map for continuous conversion and list the bits I need to set.' The summary helps her configure the peripheral without flipping through pages.

After lunch, a device resets randomly. She gives Gemini the last 50 lines of a debug log and the symptom: 'Device resets after about 10 minutes of operation.' It suggests checking the watchdog timer and a stack overflow. She finds the watchdog was not being fed in one task.

With the afternoon freed up, Priya uses a prompt to generate edge cases for a UART receive buffer test. She runs the tests, fixes a boundary issue, and leaves on time to pick up her daughter from soccer practice.

Before

  • Drowning in datasheet pages
  • Debugging by guesswork
  • Writing firmware late into the night
  • Documentation always behind

After this course

  • Clear register maps in minutes
  • Debug steps planned from logs
  • Firmware written with fewer rewrites
  • Documentation done before lunch

What you'll learn

  • Firmware coding basics: Get help writing and understanding firmware code for common peripherals and MCU initialization.
  • Datasheets and registers: Turn dense datasheets and reference manuals into clear register maps, summaries, and comparisons.
  • Debugging from evidence: Use logs, symptoms, and debug descriptions to find likely faults and plan debug steps.
  • RTOS and concurrency: Design and review RTOS task structures, priorities, and shared-data safety.
  • Hardware software integration: Connect schematics and pinouts to firmware configuration and plan sensor integration.
  • Power optimization: Estimate power use and find firmware changes that extend battery life.
  • Testing and validation: Plan hardware tests and generate driver unit tests and edge cases.
  • Documentation and learning: Write clear design notes and firmware change logs, and learn new protocols with AI help.

How this course works

  1. 9 lessonsOne task of your job each, from firmware coding basics to learning and admin.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish and keep the prompts as your own library.