先看清楚:这门课到底在讲什么
这不是一门「三天学会 AI」的课。216 讲、22 小时多,听起来不算长,但拆到每一讲平均只有六分多钟,这意味着很多内容是点到为止的,需要你自己停下来补。主题上它落在「提示工程师」这个称呼下面,实际覆盖的东西比写提示词要宽:前面一大段在讲提示词工程本身,中后段进入 RAG 检索增强生成、Embedding 向量检索、AI Agent 智能体构建,最后还带了一部分前端工程化的内容,Vue 和 React 都有涉及。
英语授课、中文字幕。如果你听力一般,建议把字幕打开当阅读材料用,碰到术语密集的地方直接暂停。这不是坏事,提示词领域的很多说法本来就是英文语境里长出来的,看原文反而少一层转译损耗。
按什么顺序看:先啃哪几块
不建议真的从头一讲一讲平推。这门课的结构有一个比较明显的特点:概念铺垫集中在前段,动手部分集中在后段,中间夹着不少可以跳过的重复说明。稳妥的走法是分三段。
- 第一段(提示词工程基础):这是全课的地基。什么时候该给例子、什么时候该让它分步、结构化输出怎么约束,这些套路看着简单,但你后面做 RAG 和 Agent 时全靠它。这一段慢慢看,不要赶。
- 第二段(Embedding 与 RAG):这是全课最值钱的部分。向量检索的原理、文本怎么切块、召回来的内容怎么塞回提示词,链条上每一步都有坑。这一段建议边看边动手,光看会以为自己懂了。
- 第三段(Agent 与前端):Agent 部分可以完整跟,前端那部分看你的底子。如果你本来不写前端,Vue 和 React 那几讲可以先放着,不影响你理解主线。
哪些章节可以放心跳过
开场的环境安装、账号注册、工具介绍这类内容,如果你已经用过任意一个主流大模型接口,可以直接快进。中间如果有大段在解释「什么是人工智能」这种背景,也可以跳过。前端工程化那几讲,对只想做后端和 RAG 的人来说不是必需,真要用的时候再回来补。
反过来,有几类内容不要跳:涉及切片策略、相似度计算、提示词模板结构的,哪怕讲得慢也看完。这些是后面所有实战的地基,跳了会在项目里加倍还回来。
资料怎么配合:别只当视频看
课程配套了章节笔记,这个用法要讲清楚。不要先看笔记再看视频,那样你会觉得都懂了。正确顺序是:先看视频,卡住的地方做记号,看完两三讲再回头翻笔记对照,把笔记当成「检查我漏了什么」的工具,而不是预习材料。
每完成一个小模块,逼自己用中文写一段三五行的总结,写「这块在解决什么问题、关键步骤是哪几步」。写不出来就说明还没消化。最后的建议是,找一个小场景自己走一遍完整流程——比如拿几十页你自己的资料做一个能问答的小工具。做出来比看完 216 讲有用得多。
哪些部分可能学不会
说实话,这门课不是每个人都能一路走到底的。Agent 那部分涉及工具调用和多步规划,如果你没有写过任何代码,会卡得比较厉害。前端那几讲对零基础的人门槛也不低。
碰到卡壳,别硬扛。先跳过,把 RAG 这条主线走通,回头再看 Agent 会顺很多。学习这种事,承认有学不会的部分,比假装全懂要省时间。这门课的价值不在于你看完了,而在于你手上真的多了一两个能跑起来的东西。
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




