本书分10章，第1～2章构建人工智能技术原理与生成式人工智能发展脉络的知识底座和伦理守护能力；第3～8章聚焦七大工作场景展开AIGC实践，涵盖文本生成、思维导图、数据统计、演示文稿、跨媒介创作（AI绘画、视频、音频、数字人）、人工智能辅助编程等模块化任务，每章均配备了真实的产业案例与操作指引，第9章介绍人工智能的未来趋势，第10章特别设计了本地部署AIGC大模型的进阶内容，培养学生技术自主可控意识与私有化部署能力。本书主要面向职业教育非计算机专业的学生，既可以作为人工智能通识课程的教学用书，也可以作为广大人工智能技术使用爱好者的入门参考书。

付祥，副教授，现任教于浙江机电职业技术大学。哈尔滨理工大学计算机及其应用专业本科毕业，拥有逾20年信息技术领域教研与产业实践经验。历任杭州市科技情报研究所研究员、韩国DTVRO株式会社中国代表处研发主管、杭州中环网络技术有限公司技术总监，2003年至今深耕职业教育，致力于人工智能与数字技术教学改革。学术领域活跃于全国高等院校计算机基础教育研究会高职电子信息专委会、浙江省信息化促进会等组织，担任理事职务。主编教材《数字技能基础》入选"十四五"高等职业教育新形态一体化教材，另著有《现代农业物联网技术》；主导完成"Linux系统课程思政""人工智能基础数字化课程"等多项省级教改项目，获评浙江省高级"双师型"教师及"数字工匠"称号。指导学生多次斩获省级技能大赛奖项。其新作《人工智能应用技术基础教程》聚焦职教特色，以产业赋能案例为核心，涵盖生成式AI、跨媒介创作等前沿实践，旨在为高职本专科院校构建人工智能通识教育体系，助力新质生产力人才培养。

第 1 章 人工智能技术 ···················································································.1
1.1 人工智能技术概述 ··············································································.1
1.2 人工智能的发展历程 ···········································································.4
1.3 人工智能核心技术原理 ········································································.8
1.3.1 机器学习 ···················································································.8
1.3.2 深度学习 ·················································································.10
1.3.3 技术局限性 ··············································································.11
1.4 人工智能技术的应用场景 ···································································.12
1.5 人工智能技术的发展趋势 ···································································.14
课后习题 ·······························································································.17
第 2 章 生成式人工智能技术 ·········································································.19
2.1 生成式人工智能技术的发展和历史 ·······················································.19
2.1.1 生成式人工智能的起源与发展脉络 ················································.19
2.1.2 生成式人工智能的关键技术 ·························································.20
2.1.3 生成式人工智能的应用领域 ·························································.21
2.1.4 生成式人工智能面临的挑战与展望 ················································.22
2.2 国内主流 AIGC 平台 ·········································································.22
2.2.1 AI 搜索领域 ·············································································.23
2.2.2 聊天对话领域 ···········································································.25
2.2.3 长文本处理领域 ········································································.26
2.2.4 演示文稿生成领域 ·····································································.27
2.2.5 图片生成领域 ···········································································.29 2
.2.6 音乐生成领域 ···········································································.31
2.2.7 视频生成领域 ···········································································.33
2.2.8 数字人生成领域 ········································································.35
2.2.9 思维导图生成领域 ·····································································.37
2.2.10 AI 辅助编程领域 ······································································.39
2.3 生成式人工智能真伪辨析 ···································································.40
2.3.1 时效问题 ·················································································.41
2.3.2 真实性问题 ··············································································.42
2.3.3 逻辑陷阱问题 ···········································································.44
2.4 我国的人工智能生成内容标识管理办法 ·················································.45
课后习题 ·······························································································.46
第 3 章 文字工作 AIGC 创作 ········································································.48
3.1 大语言模型和文本生成 ······································································.48
3.1.1 大语言模型的定义与架构 ····························································.49
3.1.2 文本生成的内容类型 ··································································.49
3.1.3 文本生成的机制与过程 ·······························································.49
3.1.4 文本生成的质量与挑战 ·······························································.50
3.2 高效对话和交流（AI 提示词） ····························································.50
3.2.1 提示词的定义与作用 ··································································.51
3.2.2 提示词的类型与设计 ··································································.51
3.2.3 提示词的设计原则 ·····································································.52
3.2.4 提示词公式 ··············································································.52
3.2.5 通用提示词参考 ········································································.59
3.2.6 提示词的优化与改进 ··································································.59
3.3 AIGC 文本生成实践 ··········································································.60
3.3.1 定式任务一 中篇小说的创作 ······················································.60
3.3.2 定式任务二 学术论文的创作 ······················································.65
3.3.3 人设任务 ·················································································.74
课后习题 ·······························································································.74
第 4 章 思维导图 AIGC 创作 ········································································.77
4.1 创新思维与思维导图 ·········································································.77
4.2 逻辑思维与表达 ···············································································.78
4.3 人机协作思维 ··················································································.79
4.4 AIGC 思维导图生成实践 ····································································.80
4.4.1 定式任务一 电子书阅读的思维导图创作 ·······································.80
4.4.2 定式任务二 课程知识点的图谱创作 ·············································.83
课后习题 ·······························································································.86
第 5 章 数据统计工作 AIGC 创作 ··································································.88
5.1 数据分析与 AIGC ·············································································.88
5.2 AIGC 统计和分析数据实践 ·································································.89
5.2.1 定式任务一 数据集分析及统计图创作 ··········································.89
5.2.2 定式任务二 数据收集和数据可视化创作 ·······································.96
课后习题 ·······························································································.98
第 6 章 演示文稿 AIGC 创作 ······································································.101
6.1 演示文稿与表达 ··············································································.101
6.2 AIGC 生成演示文稿实践 ···································································.104
6.2.1 定式任务一 工作汇报 PPT 创作 ·················································.104
6.2.2 定式任务二 专业课程相关 PPT 创作 ···········································.109
课后习题 ······························································································.112
第 7 章 融媒体 AIGC 创作 ···········································································114
7.1 AI 绘画简介 ···················································································.114
7.2 AI 绘画作品赏析 ·············································································.115
7.3 AI 生成图片实践 ·············································································.117
7.3.1 定式任务一 微信头像创作 ························································.117
7.3.2 定式任务二 大幅写真创作 ························································.122
7.3.3 定式任务三 灵感图像创作 ························································.125
7.3.4 人设任务 ················································································.127
7.4 AI 生成视频简介 ·············································································.131
7.5 AI 生成视频实践 ·············································································.131
7.5.1 定式任务一 文生视频创作 ························································.131
7.5.2 定式任务二 图生视频创作 ························································.133
7.6 AI 生成音频简介 ·············································································.136
7.7 AI 生成音频实践 ·············································································.136
7.8 AI 生成数字人简介 ··········································································.138
7.9 AI 生成数字人实践 ··········································································.139
课后习题 ······························································································.141
第 8 章 人工智能辅助编程 ··········································································.144
8.1 人工智能辅助编程简介 ·····································································.144
8.2 编程作品赏析 ·················································································.145
8.3 AI 生成程序代码实践 ·······································································.146
8.3.1 定式任务一 HTML 程序开发 ·····················································.146
8.3.2 定式任务二 贪吃蛇游戏开发 ·····················································.147
8.3.3 定式任务三 数学函数图像生成软件开发 ······································.159
8.3.4 人设任务 ················································································.164
课后习题 ······························································································.165
第 9 章 人工智能的未来趋势 ·······································································.167
9.1 AIGC 带来的工作方式变革 ································································.167
9.2 超级个体和个人工作室 ·····································································.168
9.3 用 AI 和天赋成为超级个体 ································································.170
9.3.1 成为超级个体的基础 ·································································.170
9.3.2 商业成长途径 ··········································································.174
9.3.3 回归品牌和个人 IP ····································································.176
课后习题 ······························································································.177
第 10 章 本地部署 AIGC 大模型 ·································································.179
10.1 Ollama 是什么 ···············································································.179
10.2 Cherry Studio 是什么 ·······································································.180
10.3 基础软硬件需求 ············································································.180
10.4 操作实践：本地部署大语言模型和应用 ··············································.181
课后习题 ······························································································.186
参考文献 ···································································································.188
附录 ·········································································································.190
附录 A 国产大模型 DeepSeek-R1 各版本解释 ·············································.190
附录 B 课程相关平台和软件资源清单——PC 篇 ·········································.193
附录 C 人工智能生成合成内容标识办法 ····················································.194
附录 D 教材授课学员参考人设清单 ··························································.196