Packt

AI-Assisted Embedded Driver Engineering

Packt

AI-Assisted Embedded Driver Engineering

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Define requirements for embedded peripheral drivers

  • Review driver patches before integration

  • Verify GPIO, UART, timer, ADC, and EXTI drivers

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Recently updated!

October 2026

Assessments

12 assignments

Taught in English

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There are 11 modules in this course

This module provides an overview of the course structure, key learning goals, and the practical importance of AI in embedded driver engineering. It helps learners understand how AI can enhance system development and efficiency in real-world applications.

What's included

1 video1 assignment

This module guides learners through the essential steps of setting up an integrated development environment (IDE) for embedded systems. It covers downloading, installing, and configuring development tools, along with using technical documentation to support firmware implementation. Learners will gain practical skills in preparing a development workspace for hands-on projects.

What's included

5 videos1 assignment

This module guides learners through the setup of an AI-assisted development environment, focusing on configuring tools like VSCode, enabling an AI peer programmer, and integrating AI capabilities for coding. It equips students with the foundational skills needed to work effectively in an AI-enhanced coding workflow.

What's included

4 videos1 assignment

This module explores the foundational structure of a software project and its build process, focusing on key components such as the project tree, platform files, and header files. Learners will gain practical skills in analyzing and implementing structured firmware components within an AI-assisted embedded driver engineering workflow.

What's included

5 videos1 assignment

This module explores the development and implementation of a GPIO driver for embedded systems, focusing on key components such as clock access, mode configuration, and initialization functions. Learners will gain hands-on experience in creating structured firmware solutions and validating their functionality. The course also emphasizes integrating these elements into a broader AI-assisted embedded driver engineering workflow.

What's included

8 videos1 assignment

This module focuses on configuring and implementing UART communication in embedded systems, including setting up timebases, helper functions, and testing the final design. Learners will gain hands-on experience with firmware development and AI-assisted embedded driver engineering workflows.

What's included

9 videos1 assignment

This module covers the implementation and testing of a lightweight logger for proof and verification in embedded systems. Learners will explore how to define logging interfaces, implement log functions, and validate system behavior in a firmware context. The focus is on building reliable logging mechanisms that support AI-assisted embedded driver development.

What's included

4 videos1 assignment

This module explores how to align AI assistants with codebase standards, focusing on practical techniques like scanning reference materials and using automated tools to enhance embedded system development.

What's included

2 videos1 assignment

This module explores how to integrate AI-assisted tools into the development of embedded driver systems, focusing on firmware implementation, API proposals, and test validation. Learners will gain practical skills in instructing AI assistants to build and verify module files for IoT and embedded systems. The course emphasizes structured workflows for timer-based features in real-world applications.

What's included

9 videos1 assignment

This module explores the practical implementation of AI-assisted driver engineering, focusing on executing session contracts, proposing and implementing API patches, and validating driver behavior through testing and documentation. Learners will gain insights into the workflow of developing robust, AI-enhanced embedded systems.

What's included

8 videos1 assignment

This module explores the integration of AI in embedded driver engineering, focusing on external interrupts, API implementation, and event handling. Learners will gain hands-on experience with firmware development, interrupt management, and real-time system coordination.

What's included

7 videos2 assignments

Instructor

Packt - Course Instructors
Packt
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