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    Generative Ai For Electrical Engineers & Professionals

    Posted By: ELK1nG
    Generative Ai For Electrical Engineers & Professionals

    Generative Ai For Electrical Engineers & Professionals
    Published 6/2025
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 407.05 MB | Duration: 2h 13m

    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