ChatGPT AI for Electrical and Electronics Engineering

Enhance circuit design, troubleshoot issues & optimize systems with ChatGPT for electrical & electronics engineering. AI-powered insights for smarter solutions! #AI #EEE

Duration: 1 Day

Hours: 3 Hours

Training Level: All Levels

Batch One

Thursday, July 31, 2025

12:00 PM - 03:00 PM (Eastern Time)

Batch Two

Wednesday, August 27, 2025

12:00 PM - 03:00 PM (Eastern Time)

Batch Three

Wednesday, September 24, 2025

12:00 PM - 03:00 PM (Eastern Time)

About the Course:

Electronics engineering combines theory, design, and diagnostics, making it a field ripe for AI-powered support. In "ChatGPT AI for Electrical and Electronics Engineering", participants will explore how ChatGPT can be applied to solve real-world electronics problems, assist in circuit design, explain datasheets, generate code for embedded systems, and automate documentation. Whether you're working with microcontrollers, signal processing, PCB design, or power systems, this course will show you how ChatGPT can enhance both speed and precision in engineering tasks.

Course Objectives:

By the end of this course, participants will be able to:

Understand how ChatGPT supports common workflows in electronics engineering.
Use ChatGPT for component selection, schematic explanation, and datasheet parsing.
Generate embedded code for platforms like Arduino, Raspberry Pi, STM32, etc.
Troubleshoot circuits, simulate logic, and calculate signal parameters with AI support.
Automate the writing of test procedures, technical documents, and user manuals.
Leverage ChatGPT to bridge gaps between hardware design and firmware development.

Who is the Target Audience?

This course is ideal for:

Electronics Engineers (analog, digital, embedded, power systems)
Hardware and Firmware Developers
Engineering Students and Educators
R&D and Product Development Teams
Technical Writers in Electronics or Embedded Systems

Basic Knowledge:

No prior AI experience is required. Familiarity with electronics concepts and basic coding is recommended.

Curriculum

Total Duration: 3 Hours

Module 1: Introduction to ChatGPT for Electronics Engineering

Overview of ChatGPT and its capabilities
Common electronics workflows where AI can help
Safety, validation, and limitations of AI in engineering

Module 2: Circuit Design and Component-Level Support

Using ChatGPT for schematic explanations and circuit troubleshooting
Assisting with component selection (e.g., choosing op-amps, transistors, regulators)
Interpreting and simplifying datasheets
Hands-on: Reverse-engineer or explain a sample circuit with ChatGPT

Module 3: Embedded Systems and Firmware Generation

Writing and debugging code for Arduino, STM32, ESP32, and Raspberry Pi
Explaining communication protocols (I2C, SPI, UART, CAN)
Generating code snippets for peripheral control (sensors, motors, displays)
Hands-on: Prompting ChatGPT to build a microcontroller-based project

Module 4: Signal Analysis, Simulation, and Debugging

Using ChatGPT to interpret signal parameters (dB, SNR, impedance, etc.)
Supporting digital logic design and state machines
Discussing simulation strategies and tools (LTspice, Proteus, etc.)
Use case: Diagnosing a faulty analog or digital circuit using AI

Module 5: Documentation, Testing, and Reports

Writing lab reports, datasheets, manuals, and SOPs
Creating automated test procedures and troubleshooting guides
Generating BOMs (Bill of Materials), wiring guides, and diagrams
Hands-on: Draft a technical document based on a design brief

Q&A and Wrap-Up

Participants use case demos or questions
Prompt refinement tips and ChatGPT integrations
AI tools for PCB design, simulation, and embedded workflows
Resources for further learning and experimentation