本书是为高等职业院校人工智能通识课程体系的"人工智能导论”课程全新设计的一本新形态教材。尽管"人工智能导论”是一门理论与实践紧密结合的课程，但在科技迅速发展的当代，旧有技术可能迅速被新技术取代。因此，本书立足于人工智能时代的前沿，注重培养读者的人工智能思维方式，拓宽知识视野，而非局限于某些技术细节的本书从基础开始，由浅入深进行学习，可帮助读者逐步理清人工智能的核心技术和发展趋势。全书共设7个章节，从人工智能基础知识切入，介绍了人工智能概述、人工智能的行业应用与分类及人工智能的缺点与行业法规。随后，阐述了生成式人工智能（AIGC）体验、Python 基础编程与智能编程、感知交互式人工智能（AIPI）应用、AI 办公应用与实践、FastGPT 智能体开发、代码审核助手等实操内容。深度讲解。

赵健，男，1970年出生，河南邓州人，北京航空航天大学机械工程博士。自1992年参加工作以来，一直在高校从事教学和管理工作，现为洛阳职业技术学院教授，校党委书记。主持和参与航空航天部和河南省重点科研项目4项，航空航天部和河南省重点教研项目2项。获得航空航天部科技进步二等奖一项，三等奖一项。河南省科技进步二等奖一项，三等奖一项；获得航空航天部教学进步三等奖一项，河南省教学进步二等奖一项。发表SCI等级别高水平论文36篇，主编教材两部。获得国家发明专利授权3项。

第 1 章 人工智能入门 ·······················································································.1
本章导学 ······································································································.1
学习目标 ······································································································.1
1.1
初识人工智能 ·························································································.1
1.1.1
人工智能概述 ················································································.2
1.1.2
1.1.3
1.2
人工智能发展史 ·············································································.3
人工智能学派与研究目标 ·································································.4
人工智能的行业应用与分类 ·······································································.6
1.2.1
人工智能行业应用与产业结构解析 ·····················································.6
1.2.2
1.3
人工智能分类与术语解释 ································································.11
人工智能的缺点与行业法规 ······································································.15
1.3.1
人工智能的缺点与风险 ···································································.15
1.3.2
1.4
人工智能相关行业法规 ···································································.16
复习与挑战 ···························································································.17
1.4.1
本章总结 ·····················································································.17
1.4.2
思考与练习 ··················································································.17
第 2 章 生成式人工智能体验 ·············································································.20
本章导学 ·····································································································.20
学习目标 ·····································································································.20
2.1
大语言模型与提示词 ···············································································.20
2.1.1
大语言模型基础认知 ······································································.20
2.1.2
2.2
提示词工程实用指南 ······································································.22
智能音频生产线 ·····················································································.26
2.2.1
海绵音乐平台基础 ·········································································.26
2.2.2 AI 音乐生成技术原理 ·····································································.27
2.3
动态视觉生成系统 ··················································································.33
2.3.1
通义万相平台 ···············································································.33
2.3.2
AI 视频生成原理 ···········································································.34
人工智能基础与应用
2.4
2.5
多模态内容创作 ·····················································································.39
2.4.1
单模态与多模态 ············································································.39
2.4.2 Metaso 平台 ·················································································.40
复习与挑战 ···························································································.43
2.5.1
本章总结 ·····················································································.43
2.5.2
思考与练习 ··················································································.44
第 3 章 Python 基础编程与智能编程 ···································································.47
本章导学 ·····································································································.47
学习目标 ·····································································································.47
3.1 Python 基础语法 ·····················································································.47
3.1.1
变量与数据类型 ············································································.47
3.1.2
3.1.3
3.1.4
3.1.5
3.1.6
运算符 ························································································.49
流程控制 ·····················································································.52
数据结构 ·····················································································.55
函数 ···························································································.59
异常处理 ·····················································································.63
3.2 Python 进阶应用 ·····················································································.66
3.2.1
标准库：文件操作与数据序列化 ·······················································.66
3.2.2
3.3
第三方库：网络请求与数据处理 ·······················································.70
智能编程 ······························································································.80
3.3.1
通义灵码平台 ···············································································.80
3.3.2 VS Code 集成通义灵码 ···································································.81
3.3.3
通义灵码智能编程 ·········································································.83
3.4
复习与挑战 ···························································································.85
3.4.1
本章总结 ·····················································································.85
3.4.2
本章检测 ·····················································································.86
第 4 章 感知交互式人工智能应用 ·······································································.89
本章导学 ·····································································································.89
学习目标 ·····································································································.89
4.1
计算机视觉 ···························································································.89
4.1.1 AIPI 与 AIGC 的对比······································································.89
4.1.2
基于 Tesseract 和 EasyOCR 的车牌识别 ···············································.91
4.1.3
4.2
基于 OpenCV 的人脸识别门禁系统 ····················································.98
语音识别 ····························································································.105
4.2.1
环境搭建 ···················································································.106
4.2.2
4.2.3
语音识别的工作原理与步骤 ···························································.107
会议语音转文字助手 ····································································.109
4.3
智能搜索 ····························································································.116
4.3.1
智能搜索及工作原理 ····································································.117
4.3.2
4.4
建立基于语义向量的本地知识库智能搜索系统 ···································.117
复习与挑战 ·························································································.127
4.4.1
本章总结 ···················································································.127
4.4.2
本章检测 ···················································································.127
第 5 章 AI 办公应用与实践 ·············································································.130
本章导学 ···································································································.130
学习目标 ···································································································.130
5.1
AI 办公全景图：从理论到应用 ································································.130
5.1.1 WPS AI 强势崛起：开启 AI 办公新纪元 ···········································.130
5.1.2 WPS AI 赋能文字处理：全方位智能办公新体验 ·································.133
5.1.3 WPS AI 赋能演示制作：智能 PPT 生成与优化 ···································.143
5.2
5.3
AI 数据可视化：从概念到实践 ································································.156
5.2.1 WPS AI 赋能表格处理：智能数据分析与公式助手 ······························.156
5.2.2 WPS AI 赋能 PDF 处理：智能阅读与深度解析 ···································.175
复习与挑战 ·························································································.182
5.3.1
本章总结 ···················································································.182
5.3.2
本章检测 ···················································································.183
第6章 FastGPT 智能体开发 ··········································································.186
本章导学 ···································································································.186
学习目标 ···································································································.186
6.1 FastGPT 平台核心功能入门 ····································································.186
6.1.1
智能体：重新定义 AI 的“能力边界” ·············································.187
6.1.2
从“大模型依赖”到“智能体革命” ···············································.188
6.1.3 FastGPT：开源智能体的“技术标杆” ·············································.189
6.2 FastGPT 智能体基础开发 ·······································································.193
6.2.1
实时天气查询助手：插件实战 ························································.193
6.2.2
6.2.3
教学资源智能检索：知识库应用 ·····················································.204
每日记账智能助手：数据库实战 ·····················································.213
6.3 FastGPT 智能体进阶实战 ·······································································.216
6.3.1 FastGPT 正能量推送系统搭建 ························································.216
6.3.2
智能旅游助手系统构建 ·································································.225
6.4
复习与挑战 ·························································································.236
6.4.1
本章总结 ···················································································.236
6.4.2
本章检测 ···················································································.236
第7章 代码审核助手——跨应用协同开发助手 ···················································.239
本章导学 ···································································································.239
学习目标 ···································································································.239
7.1
项目概述 ····························································································.239
7.2
7.3
7.4
7.5
7.6
系统设计 ····························································································.240
环境准备 ····························································································.241
核心功能实现 ······················································································.241
7.4.1
获取工作流 API 地址和 API_KEY ···················································.241
7.4.2 Laf 云函数：事件转发器 ·······························································.243
7.4.3
Gitee 仓库：WebHooks 通信 ···························································.247
7.4.4 FastGPT 工作流：智能大脑 ···························································.249
验证与测试 ·························································································.255
本章总结 ····························································································.258