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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-for-electrical-engineers-professionals/
课程评论：没有评论
课程名称：电气工程师与专业人士的生成性人工智能 课程概述： “电气工程师与专业人士的生成性人工智能”课程是一个全面的项目，旨在为电气工程师提供将生成性人工智能整合到核心工程工作流程中的技能。随着工程领域的数字化转型，专业人士越来越需要在系统设计与智能自动化之间架起桥梁。课程开始于生成性人工智能的基础介绍，重点讲解基于变换器的模型（如ChatGPT、Gemini、Claude和Copilot）如何生成电路图、嵌入式代码、仿真模型和技术文档等内容。 课程深入探讨生成性人工智能在电气工程各个领域（从电力系统和智能电网到嵌入式系统和控制逻辑）中的相关性，为工程师提供在日常工作中利用人工智能的实际切入点。学习者将探索指令性和分析性提示的区别，应用零-shot、one-shot和few-shot技术以在电气背景下获得精准输出。通过提示链，学生将自动化多步骤任务，如创建SPICE原理图或仿真电流流动。课程提供与变压器绕组优化、PCB布局建议和嵌入式编程（如Arduino、STM32）相关的可重用提示模板的实践。 其他讲座涵盖生成电路描述、PID和状态机的控制逻辑以及电力系统的仿真。参与者还将自动生成MATLAB/Simulink模型、基于有限元法的电磁叙述以及测试和诊断的真实场景。此外，课程强调生成性人工智能在文献综述、技术写作、实验文档和演示生成中的价值。最后，学习者将获得1000多个专家精心设计的提示，这些提示专门针对工程领域，使他们能够无缝地将人工智能整合到报告、分析、设计和自动化中。 这门课程为专业人士提供了实用的人工智能工具包，以加速创新、提高设计准确性并缩短电气工程中的开发周期。
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.
