Generative Ai For Electrical Engineers & Professionals

1000+ Prompts Toolkit for Electrical Engineers

What you'll learn

Understand how Generative AI models like ChatGPT others work

Access a ready-to-use 1000+ expert-level prompts for real-world electrical engineering use cases

Master instructional vs. analytical prompts tailored for electrical engineering tasks

Apply zero-shot, one-shot, and few-shot prompting techniques for varied complexity

Chain multiple prompts for multi-step engineering tasks such as design-to-simulation workflows

Generate circuit descriptions, schematics, and SPICE-ready code using AI

Prompt AI to suggest PCB layouts with EMI, thermal, and routing compliance

Auto-generate C/Assembly code for microcontrollers (Arduino, STM32)

Create PID logic, fuzzy rule sets, and state machine narratives using prompt-driven control logic

Simulate power flow analysis and relay protection settings using AI-assisted outputs

Use Generative AI for load forecasting, sensor anomaly detection, and condition monitoring

Generate MATLAB scripts, Simulink models, and FEM narratives for simulation tasks

Automate technical documentation, including firmware test benches and simulation logs

Use AI to write literature reviews, patent summaries, and research paper drafts

Prepare PowerPoint slides, diagrams, and flowcharts with Generative AI tools

Requirements

Basic understanding of electrical engineering concepts

General computer literacy and internet access

Enthusiasm to learn prompt engineering

Description

The course “Generative AI for Electrical Engineers and Professionals” is a comprehensive program designed to empower electrical engineers with the skills to integrate Generative AI into core engineering workflows. As the engineering landscape embraces digital transformation, professionals are increasingly expected to bridge the gap between system design and intelligent automation. This course begins with a foundational introduction to Generative AI, highlighting how transformer-based models like ChatGPT, Gemini, Claude, and Copilot can generate content such as circuit diagrams, embedded code, simulation models, and technical documentation. The relevance of Generative AI across electrical engineering domains—from power systems and smart grids to embedded systems and control logic—is discussed in-depth, providing practical entry points for engineers to begin leveraging AI in daily tasks.Learners will explore the differences between instructional and analytical prompts, and apply zero-shot, one-shot, and few-shot techniques for precise outputs in electrical contexts. Through prompt chaining, students will automate multi-step tasks like creating SPICE schematics or simulating power flows. The course offers hands-on practice with reusable prompt templates designed for transformer winding optimization, PCB layout suggestions, and embedded programming (Arduino, STM32). Other lectures cover generating circuit descriptions, control logic for PID and state machines, and power system simulations. Participants will also auto-generate MATLAB/Simulink models, FEM-based electromagnetic narratives, and real-world scenarios for testing and diagnostics.In addition, the course emphasizes Generative AI's value in literature reviews, technical writing, experiment documentation, and presentation generation. It concludes with access to 1000+ expertly crafted prompts tailored to engineering domains, enabling learners to integrate AI into reporting, analysis, design, and automation seamlessly. This course equips professionals with a practical AI toolkit to accelerate innovation, enhance design accuracy, and reduce development cycles in electrical engineering.

Overview

Section 1: Foundations of Generative AI and Relevance to Electrical Engineering

Lecture 1 Introduction to Generative AI

Lecture 2 Relevance to Electrical Engineering Fields

Section 2: Prompts Used in Live Demos

Lecture 3 File - Prompts Used in Live Demos

Section 3: Prompt Engineering for Electrical Applications

Lecture 4 Instructional vs Analytical prompts with domain-specific examples

Lecture 5 Zero-shot, One-shot, and Few-shot Prompting Techniques

Lecture 6 Prompt Chaining for Multi-Step Engineering Tasks

Lecture 7 Reusable Prompt Templates

Section 4: Design Automation Using Generative AI

Lecture 8 Generating Circuit Design Descriptions and Diagrams

Lecture 9 AI-Powered PCB Layout Suggestions

Lecture 10 Transformer and Motor Design Using AI

Section 5: AI in Control and Embedded Systems

Lecture 11 Prompting AI for Control Logic Narratives

Lecture 12 Auto-generation of Embedded Code

Lecture 13 Designing AI-Enhanced Firmware Documentation

Section 6: Power Systems and Smart Grid Applications

Lecture 14 Prompting GenAI for Power Flow Analysis

Lecture 15 Generating Load Forecasting Narratives

Lecture 16 Fault Analysis and Protection Design

Lecture 17 Smart Grid Optimization Using GenAI

Lecture 18 Case Study: Prompt-Driven Load Forecasting for a Smart Substation

Section 7: Simulation and Modeling with GenAI

Lecture 19 Text-to-MATLAB/Simulink Code Generation

Lecture 20 AI in Finite Element Method (FEM) Narratives

Lecture 21 Simulation Scenario Generation from Test Data

Section 8: Research, Documentation, and Reports with Generative AI

Lecture 22 Literature Review and Technical Writing

Lecture 23 Generating Experiment Logs and Engineering Reports

Lecture 24 Preparing Presentations and Diagrams Using GenAI Tools

Section 9: 1000+ Prompts - Generative AI for Electrical Engineers

Lecture 25 Circuit Design and Analysis

Lecture 26 SPICE Simulation Prompting

Lecture 27 Power Electronics (Converters, Inverters, Rectifiers)

Lecture 28 Transformer Design and Optimization

Lecture 29 Motor Design (DC, Induction, Synchronous)

Lecture 30 Embedded C Programming (Arduino, STM32)

Lecture 31 PLC Programming (Ladder Logic, ST, FBD)

Lecture 32 HMI Development and Visualization

Lecture 33 Control System Design (PID, State Space, Adaptive)

Lecture 34 Digital Signal Processing Applications

Lecture 35 MATLAB/Simulink Modeling and Simulation

Lecture 36 Load Flow Analysis in Power Systems

Lecture 37 Fault Detection and Protection Design

Lecture 38 SCADA and Remote Monitoring Systems

Lecture 39 IoT Applications in Electrical Engineering

Lecture 40 Smart Grid Systems and Optimization

Lecture 41 Battery Management Systems (BMS)

Lecture 42 Solar and Wind Energy Systems

Lecture 43 EV Charging Infrastructure

Lecture 44 High Voltage Engineering

Lecture 45 Power Quality and Harmonics

Lecture 46 Relay Coordination and Protection Schemes

Lecture 47 Energy Auditing and Load Forecasting

Lecture 48 Electrical Safety and Compliance

Lecture 49 Machine Learning for Electrical Diagnostics

Lecture 50 Sensor Data Analysis and Interpretation

Lecture 51 Predictive Maintenance Strategy Development

Lecture 52 Electromagnetic Field Simulation (Maxwell, COMSOL)

Lecture 53 Thermal Management in Electrical Systems

Lecture 54 PCB Layout and EMI/EMC Compliance

Lecture 55 Firmware Testing and Validation

Lecture 56 AI in Control Narratives and Diagnostics

Lecture 57 Data Acquisition and Signal Conditioning

Lecture 58 Communication Protocols (CAN, Modbus, I2C, SPI)

Lecture 59 VHDL and FPGA Design

Lecture 60 Reliability Engineering and Failure Modes

Lecture 61 Documentation and Reporting Automation

Lecture 62 Patent Search and Prior Art Summarization

Lecture 63 Research Paper Writing and Citation Formatting

Lecture 64 Presentation and Diagram Generation

Lecture 65 Design for Manufacturing and Assembly (DFMA)

Lecture 66 Electrical Equipment Sizing and Selection

Lecture 67 Short Circuit and Arc Flash Studies

Lecture 68 Grounding and Earthing Systems

Lecture 69 Lightning Protection Systems

Lecture 70 HVAC Control and Building Automation

Lecture 71 Microgrid Planning and Integration

Lecture 72 Sustainable Power System Design

Lecture 73 Time-Domain and Frequency-Domain Analysis

Lecture 74 Compliance with IEC, IEEE, and National Standards

Undergraduate and postgraduate electrical engineering students,Electrical design engineers and R&D professionals,Embedded systems developers and firmware engineers,Power systems engineers,Academic researchers and PhD candidates in electrical engineering,Industrial automation professionals and control engineers,Electrical consultants and technical writers,Any engineering professional aiming to future-proof their skills