Generative Ai For Electrical Engineers & Professionals
Date: 3 June 2025 | Posted by: 0nelove
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
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