2026年AI人工智能提示工程师全栈培训课程

课程简介

已有 0 人浏览发布 2026-09-14 更新 2026-09-14

这门课解决什么问题

提示工程在 2026 年已经不是「会写几句 prompt」的层面。这门 216 讲的课程把范围拉到了全栈：上游是大模型的调用与提示词设计，中游是 Embedding 向量检索与 RAG 检索增强生成，下游是 AI Agent 智能体构建，再往外一层用 Vue / React 把交互界面接起来。22 小时 23 分钟的体量，英语授课配中文字幕，节奏偏紧凑，适合把它当成一套可以边看边敲的工程参照，而不是通勤时听个响的背景音。

如果你之前零散看过一些提示词技巧的文章，会发现它们大多停在「怎么问得更好」。这门课的价值在于把提示词放回系统里去讲：一条 prompt 在 RAG 链路里处在哪一环，检索结果怎么拼进上下文，Agent 又如何在多轮里维护状态。这些东西光看结论记不住，必须对着代码跑一遍。

技术栈与内容分层

课程的技术栈跨度是有意拉宽的，大致可以拆成四块：

提示词与模型调用层：Prompt 结构、角色设定、输出约束、多轮对话的组织方式。
检索层：Embedding 向量化、向量检索、RAG 的完整数据流，也就是从文档切分、入库、召回再到拼装上下文。
智能体层：AI Agent 的构建思路，工具调用与任务拆解的基本模式。
前端层：Vue 与 React 两条线，配合前端工程化，把上面这些能力包装成可交互的产品界面。

这种「后端能力 + 前端落地」的组合，正好对应企业里常见的知识库问答、内部助手类项目。单学提示词容易停在 demo，单学前端又碰不到模型，课程把两头接上了。

项目结构上可以怎么对照

216 讲意味着模块切得很细，每一讲承担的功能点很小。看的时候建议关注三件事：一是模块之间的接口边界，比如检索模块对外暴露什么参数、Agent 怎么消费检索结果；二是目录组织方式，前后端代码怎么分仓或分层；三是配置与密钥的管理方式，这类项目一旦要复现，环境变量和模型参数往往是最先踩坑的地方。

配套的章节笔记可以当作复盘锚点。每完成两三讲，把当节的输入输出、关键函数签名记下来，比反复重看视频有效得多。

适合谁来对照实践

比较对口的是三类人：想从纯后端转向大模型应用落地的开发者；已经在做 RAG 或知识库、但链路是靠拼凑文档搭起来的工程师；以及需要独立交付一个 AI 前端 Demo 的全栈方向同学。课程不假设你已经精通向量数据库或 Agent 框架，但假设你能读懂基本的前后端代码。

自学的顺序不建议打乱。先走完提示词与模型调用，再进 Embedding 与 RAG，最后碰 Agent 和前端整合，这样每一层都能在前一层跑通的基础上叠加。中途遇到抽象概念，先跑通再回头理解，比卡在定义上更划算。

怎么用这套资料

把它当成一份可执行的参考实现来用：跟着敲关键模块，改参数观察输出变化，最后独立复现一套完整 Demo——从文档入库到前端问答界面走通一遍，写进自己的作品集。这样做完，你手里留下的不是观看记录，而是一条能讲清楚、能改、能扩展的工程链路。

2026年AI提示工程师全栈培训课程，共216讲，总时长22小时23分钟，英语授课配中文字幕。

课程推荐

《2026年AI人工智能提示工程师全栈培训课程》2026年AI提示工程师全栈培训课程，共216讲，总时长22小时23分钟，英语授课配中文字幕。【技能收获】学完可掌握：RAG 检索增强生成、Embedding 向量检索、Prompt 提示词工程、AI Agent 智能体构建、Vue / 前端工程化、React 前端。课程以实战为导向，覆盖从基础概念到完整项目落地的关键步骤，配套章节笔记便于课后复盘与面试前快速回顾。【学习建议】建议按目录顺序学习，先打基础再进入综合实战章节；每完成 2～3 节可结合笔记整理一份学习小结，最终尝试独立复现一套完整 Demo 写入个人作品集。【就业发展】可面向岗位：AI 应用工程师、RAG 系统开发、Java 后端 + 大模型落地、企业知识库架构师。大模型应用岗需求持续走高，具备「后端 + RAG 落地」复合能力的人才在招聘市场更稀缺，简历中可突出完整项目链路而非仅会使用 API。若你已有一定编程或运维基础，本课程可帮助你在现有技能栈上快速叠加热门方向能力，提升求职时的项目说服力与薪资谈判空间。

视频目录（216 节）

* 1. Introduction to the Course.mp4

* 2. What is Prompt Engineering.mp4

* 4. Optional Videos to only do if you Know Coding.mp4

* 5. ChatGPT AI Prompt Pack - 705 Effective Prompts.mp4

* 6. Github Repository for the Course - Coding.mp4

* 8. Curriculum Overview.mp4

* 9. Give Direction.mp4

* 10. Specify Format.mp4

* 11. Provide Examples.mp4

* 12. Evaluate Quality.mp4

* 13. Divide Labor.mp4

* 14. Applying The Five Principles + Worksheet & One Pagers.mp4

* 15. What are Tokens.mp4

* 16. Chat Models vs Reasoning Models.mp4

* 17. AI Hallucinations.mp4

* 18. What is ChatGPT.mp4

* 19. Prompting ChatGPT.mp4

* 20. ChatGPT - Capabilities and Limitations.mp4

* 21. ChatGPT - Search.mp4

* 22. ChatGPT - Deep Research.mp4

* 23. ChatGPT - Data Analysis.mp4

* 24. ChatGPT - Image Generation.mp4

* 25. ChatGPT - Adding Files.mp4

* 26. ChatGPT - Agent Mode.mp4

* 27. ChatGPT - Custom Instructions.mp4

* 28. ChatGPT - Shortcuts.mp4

* 29. ChatGPT - Canvas.mp4

* 30. ChatGPT - Memory.mp4

* 31. ChatGPT - Projects.mp4

* 32. ChatGPT - Scheduled Tasks.mp4

* 33. ChatGPT - Vision.mp4

* 34. Vision Prompting Guide.mp4

* 35. ChatGPT - Desktop Application.mp4

* 36. ChatGPT - Atlas.mp4

* 37. ChatGPT - Study & Learn.mp4

* 38. ChatGPT - Group Chats.mp4

* 39. GPT Store - Building Custom GPTs.mp4

* 40. Role Prompting.mp4

* 41. Different Output Formats.mp4

* 42. Least to Most.mp4

* 43. Explain It Like I'm Five.mp4

* 44. Meta Prompting.mp4

* 45. Overcoming the Maximum Token Output Length.mp4

* 46. Sentiment Analysis.mp4

* 47. Writing Clear Instructions - Detailed Instructions.mp4

* 48. Writing Clear Instructions - Specifying the Steps.mp4

* 49. Writing Clear Instructions - Delimiters.mp4

* 50. Writing Clear Instructions - Specifying Length.mp4

* 51. Ask for Context.mp4

* 52. Pre-Warming Chats.mp4

* 53. Overcoming the Token Limit in ChatGPT.mp4

* 54. OpenAI Features - Coding.mp4

* 55. Setting up an OpenAI Account & API Key - Coding.mp4

* 56. Using OpenAI Playground & Exploring The Platform - Coding.mp4

* 57. Responses API & Messages - Coding.mp4

* 58. Coding Notebook with Different OpenAI Services - Coding.mp4

* 59. How to Count Tokens using tiktoken - Coding.mp4

* 60. Managing The Message History - Coding.mp4

* 61. What is Streaming - Coding.mp4

* 62. Rate Limits, Retrying and How to Overcome These Problems.mp4

* 63. Chat Completions vs Responses API - Coding.mp4

* 64. What are Structured Outputs.mp4

* 65. Structured Outputs for OpenAI - Coding.mp4

* 66. Understanding Tool Calling.mp4

* 67. Tool (Function) Calling.mp4

* 68. Building a Simple Agent with Tools.mp4

* 69. Parallelization of requests with Async OpenAI.mp4

* 70. Introduction To Retrieval - Coding.mp4

* 71. Understanding Vector Embeddings - Coding.mp4

* 72. Retrieval Augmented Generation (RAG) with Vector Databases - Coding.mp4

* 73. What is Supabase.mp4

* 74. RAG with Supabase PGVector - Coding.mp4

* 75. Introduction to Hybrid Retrieval with SQL filtering & Embeddings - Coding.mp4

* 76. How to Evaluate Retrievers - Coding.mp4

* 77. Extra Notebooks for Advanced Users - Coding.mp4

* 78. AI Agents and Workflows - Coding.mp4

* 79. Multi-Source Customer Support Agent - Coding.mp4

* 80. Introduction to OpenAI Agents SDK - Coding.mp4

* 81. Exercise - Blog Post Generator Agent (Workflow) - Coding.mp4

* 82. Building a Coding Agent - Coding.mp4

* 83. Role Prompting - Coding.mp4

* 84. Few Shot Learning - Coding.mp4

* 85. Emotion Prompting - Coding.mp4

* 86. Chain of Thought - Coding.mp4

* 87. Self-Consistency Sampling - Coding.mp4

* 88. Reason and Act (ReAct) - Coding.mp4

* 89. Personas of Thought - Coding.mp4

* 90. Prompt Optimization - Coding.mp4

* 91. What is Prompt Caching - Coding.mp4

* 92. Prompt Caching in Practice - Coding.mp4

* 93. OpenAI Realtime - Example - Coding.mp4

* 94. Prompt Engineering Course - What Is LangChain .mp4

* 94. What Is LangChain - Coding.mp4

* 95. Installation - Coding.mp4

* 96. Chat Models - Coding.mp4

* 97. Chat Prompt Templates - Coding.mp4

* 98. Streaming - Coding.mp4

* 99. Output Parsers - Coding.mp4

* 100. Summarizing Large Amounts of Text - Coding.mp4

* 101. Document Loaders, Text Splitting & Creating LangChain Documents - Coding.mp4

* 102. Tagging Documents - Coding.mp4

* 103. LCEL - The Runnable Protocol - Coding.mp4

* 104. LCEL - Chat Models, itemgetter & RAG - Coding.mp4

* 105. LCEL - Chat Message History & Memory - Coding.mp4

* 106. LCEL - Creating Multiple Chains - Coding.mp4

* 107. LCEL - Conditional Logic, Branching & Merging - Coding.mp4

* 108. LangChain Vector Databases + The Indexing API - Coding.mp4

* 109. LCEL Configurable Fields - Coding.mp4

* 110. LangChain Agents & Tools - Coding.mp4

* 111. Introduction To LangGraph - Coding.mp4

* 112. Simple LangGraph Flows - Coding.mp4

* 113. Tool Usage and Persistence - Coding.mp4

* 114. Human In The Loop - Coding.mp4

* 115. Manually Updating The State - Coding.mp4

* 116. Customizing State in LangGraph - Coding.mp4

* 117. Time Travel - Coding.mp4

* 118. RAG in LangGraph (Self Corrective RAG) - Coding.mp4

* 119. Extra Content To Explore In Your Own Time Advanced Branching Subgraphs - Coding.mp4

* 120. Tell me a funny joke.mp4

* 121. Create an Entire Ebook.mp4

* 122. SEO Blog Articles.mp4

* 123. Thought Leadership Posts.mp4

* 124. Write a PRD.mp4

* 125. Summarize a News Story - Coding.mp4

* 126. Summarizing An Entire Book - Coding.mp4

* 127. Review Classification - Coding.mp4

* 128. Text To Speech using OpenAI - Coding.mp4

* 129. Using LangChain + Llama3 Locally with LMStudio - Coding.mp4

* 130. Transcribing audio from a Youtube Video - Coding.mp4

* 131. Fine-Tuning on Writing Style - Coding.mp4

* 132. Social Media Posting - Coding.mp4

* 133. Progressive Summarization - Coding.mp4

* 134. Reverse Engineering a Publication - Coding.mp4

* 135. Building a GPT wrapper with Flask and HTMX - Coding.mp4

* 136. Qualitative Analysis- Coding.mp4

* 137. Claim Detection - Coding.mp4

* 138. OpenAI Realtime - Twilio Example - Coding.mp4

* 139. Automating Product Descriptions via GPT-V - Coding.mp4

* 140. Automating UX Landing Page Analysis via GPT-V - Coding.mp4

* 141. Memetic Analysis with GPT-V.mp4

* 142. What is Midjourney_ - Google Slides - 13 March 2023.mp4

* 142. What is Midjourney.mp4

* 143. Prompting Midjourney.mp4

* 144. Midjourney Capabilities and Limitations.mp4

* 145. Style Modifiers.mp4

* 146. Negative Prompts.mp4

* 147. Weighted Terms.mp4

* 148. Realistic Models.mp4

* 149. Midjourney Inpainting (Vary Region).mp4

* 150. Midjourney Outpainting (Zoom Out Pan).mp4

* 151. Consistent Characters.mp4

* 152. Permutations Prompts.mp4

* 153. Prompt Reverse-Engineering.mp4

* 154. Prompt Token Analysis.mp4

* 155. Meme Unbundling.mp4

* 156. Fal AI Playground.mp4

* 157. Text to Image with Flux.mp4

* 158. Async Text to Image with Flux.mp4

* 159. X Y Z Prompt Grids.mp4

* 160. Image Upscaling with Clarity.mp4

* 161. Image to Image with Flux.mp4

* 162. Image Editing with Flux.Kontext.mp4

* 163. Advanced Inpainting with Flux.mp4

* 164. Draw Image Mask with Gradio.mp4

* 165. Segment Anything Masking.mp4

* 166. Advanced Outpainting with Flux.mp4

* 167. Advanced Consistent Characters.mp4

* 168. ControlNet with Flux Pro.mp4

* 169. Fine-Tuning with Flux Lora.mp4

* 170. Image to Video with Kling AI.mp4

* 171. Comfy UI.mp4

* 172. AI Custom Illustrations.mp4

* 173. Making a Brand Logo.mp4

* 174. AI Stock Photos.mp4

* 175. Runway - Creating b-roll footage.mp4

* 176. Product Placement - Coding.mp4

* 177. Tagging Ad Creative - Coding.mp4

* 178. AI Profile Picture - Coding.mp4

* 179. What are Evals (Evaluations).mp4

* 180. LLM & Image Model Performance Advanced Evaluation Strategies - Coding.mp4

* 181. Prompt Testing in GSheets (without code).mp4

* 182. Eval for a RAG system (special guest).mp4

* 183. Prompt Optimization with DSPy - Coding.mp4

* 184. Eval metrics with DSPy - Coding.mp4

* 185. Prompt Optimization 5 Principles of Prompting - Coding.mp4

* 186. Prompt Optimization Advanced - Coding.mp4

* 187. DSPy Primer (with the Every team).mp4

* 188. Prompt Chaining - Coding.mp4

* 189. Routing - Coding.mp4

* 190. Parallelization - Coding.mp4

* 191. LLM Orchestrators - Coding.mp4

* 192. Agents - Coding.mp4

* 193. Mixture of Experts - Aggregator.mp4

* 194. Evaluator Optimizer - Coding.mp4

* 195. Additional Agent Architectures - Coding.mp4

* 196. What is Google Veo3.mp4

* 197. Prompting Google Veo3 in Flow.mp4

* 198. JSON Prompting Veo3.mp4

* 199. Multi-Shot Prompting with Veo3.mp4

* 200. Frames to Video in Google Flow.mp4

* 201. Ingredients to Video in Google Flow.mp4

* 202. Spatial Prompting with Annotated Frames using Veo3.mp4

* 203. What is Google Gemini.mp4

* 204. Gemini 2.0 Native Image Generation.mp4

* 205. Google Gemini - Deep Research.mp4

* 206. What is Meta LLaMA.mp4

* 207. Runway ML.mp4

* 208. What is Google Vision.mp4

* 209. What is OpenAI Whisper.mp4

* 210. Testing Open-Source Models.mp4

* 211. What is Flux.mp4

* 212. Google NotebookLM.mp4

* 213. Groq Cloud.mp4

* 214. Free PDF Prompt Engineering Book (CH01).mp4

* 215. Sources of Inspiration.mp4

* 216. Next steps after the course.mp4

配套笔记（27 份 PDF）

* 9. Give Direction.pdf

* 10. Specify Format.pdf

* 11. Provide Examples.pdf

* 12. Evaluate Quality.pdf

* 13. Divide Labor.pdf

* 15. What Are Tokens_.pdf

* 18. What is ChatGPT_ Mar25.pdf

* 20. ChatGPT Capabilities and Limitations.pdf

* 34. Vision Prompting Guide.pdf

* 54. OpenAI Features.pdf

* 64. What are Structured Outputs .pdf

* 66. Understanding Tool Calling.pdf

* 70. Introduction To Retrieval.pdf

* 71. Understanding Vector Embeddings.pdf

* 78. AI Agents and Workflows.pdf

* 124. Write a PRD.pdf

* 125. News Article Summarization.pdf

* 142. What is Midjourney_.pdf

* 144. Midjourney Capabilities and Limitations.pdf

* 203. What is Google Gemini_.pdf

* 206. What is Meta LLaMA_ (1).pdf

* 208. What is Google Vision_.pdf

* 209. What is OpenAI Whisper_.pdf

* 212. 2309.03409v3_OPRO.pdf

* 212. 2310.03714v1_DSPy.pdf

* 214. PEGAI_CH1_excerpt (1).pdf

* 215. Sources of Inspiration.pdf