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所在平台: Udemy |
课程主页: https://www.udemy.com/course/singularity-ai-for-engineers/
课程评论:没有评论
课程名称:工程师的人工智能 概述:如果你是一名对人工智能感兴趣但不确定如何入手的工程师,这门课程就是为你量身定制的。课程将为你提供将AI直接融入工作流程的工具。无论是减少计算时间、自动化文档处理,还是构建更智能的系统,这门课程教你如何在工程中实际应用AI,而不仅仅是讨论它。课程由已经在相关领域实践的工程师团队创建,提供实用的逐步教学和动手项目,涵盖提示工程、GPTs、自动化及非技术工具等内容。整个课程结构合理、逻辑严谨且以结果为导向。完成课程后,你将拥有自己构建的AI提示库、定制的GPT以及自动化工具,能够应用于日常工作中。 学习内容: 模块A:奇点 - 课程介绍 如何浏览课程,以及如何设置自己的ChatGPT账户。 模块B:工程师的提示工程 编写有效的AI提示、构建可重用的库,并集成Python检查以提高准确性。 模块C:GPT的创建与使用 微调GPT,选择合适的LLM,为SEO命名,以及建立反馈循环以便于持续改进。 模块D:AI代理 自动化重复性任务、简化计算过程,利用新兴的AGI预测。 模块E:高级AI技术回顾 预测性维护、AI过程优化、高级绘图生成(P&ID,3D)和资源分配。 附加模块:AI技巧与窍门 实用的非工程类AI应用,如制作演示文稿和视频,以及精选的第三方工具列表。
If you're an engineer curious about AI but unsure where to start-this course is for you.This course gives you the tools to bring AI directly into your workflow. Whether it's cutting down the time you spend on calculations, automating documentation, or building smarter systems, this course shows you how to actually use AI in engineering-not just talk about it.Created by a team of engineers who've already done this in the field, you'll get practical, step-by-step lessons and hands-on projects that walk you through prompt engineering, GPTs, automation, and even non-technical tools. Everything is built logical, structured, and results-driven.By the end, you'll have your own AI prompt library, custom GPTs, and automation tools-built by you, for your daily work.______________________________________________________________________________________________________What You'll LearnModule A: Singularity - Introduction to the courseHow to navigate the course and how to set up your own ChatGPT account. Module B: Prompt Engineering for EngineersCrafting effective AI prompts, building reusable libraries, and integrating Python checks for enhanced accuracy.Module C: GPT Creation & UseFine-tuning GPTs, choosing the right LLM, naming for SEO, and setting up a feedback loop for continuous improvement.Module D: AI AgentsAutomating repetitive tasks, streamlining calculations, and tapping into emerging AGI predictions.Module E: Review of Advanced AI TechniquesPredictive maintenance, AI process optimization, advanced drawing generation (P & IDs, 3D), and resource allocation.Bonus Module: AI Tips & TricksPractical non-engineering AI applications-like creating presentations and videos-plus a curated list of top third-party tools.