人工精选2026年AI人工智能提示工程师全栈培训课程
如果你最近在招聘网站上刷到「提示工程师」「大模型应用开发」这类岗位，点进去看要求，大概率会看到一串不太统一的词：Prompt 调优、RAG、向量数据库、Agent 编排，有的还要求会 Vue 或 React。这些词单独查都能查到解释，但放在一起会让人有点懵——它们到底是一件事还是几件事，学完能干什么
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如果你最近在招聘网站上刷到「提示工程师」「大模型应用开发」这类岗位，点进去看要求，大概率会看到一串不太统一的词：Prompt 调优、RAG、向量数据库、Agent 编排，有的还要求会 Vue 或 React。这些词单独查都能查到解释，但放在一起会让人有点懵——它们到底是一件事还是几件事，学完能干什么活，值不值得花时间。
这门《2026年AI人工智能提示工程师全栈培训课程》可以看作对上面那串词的逐项回应。216讲、22小时出头，英语讲授带中文字幕，节奏偏紧凑，不是那种一节课讲四十分钟闲聊的课。下面按「它能解决什么工作场景」来拆，方便你判断要不要跟。
它主要解决的是「把模型接进真实业务」这一段
市面上的提示词内容大多停在「怎么写一句好 prompt」。但真到工作里，难点往往不在这句 prompt 本身，而在于：模型怎么知道你们公司内部的资料？用户问一句，系统怎么从几百份文档里找到相关的那几段再让模型回答？回答完怎么保证不是编的？
这门课的重心就落在这一段。它把 Prompt 工程当作入口，而不是终点，往后接的是 RAG 检索增强生成和 Embedding 向量检索——也就是「先检索、再生成」这条主线。学完你大致能理解一个企业知识库问答是怎么从零搭起来的：文档切分、向量化入库、相似度召回、拼进上下文、生成答案，每一环为什么这么做。
218讲里，哪些是基础，哪些是能写进作品集的
课程结构上大致分两层。前半段打概念底子，讲清楚提示词的结构化写法、模型的输入输出边界、Embedding 到底在表达什么。这部分如果你零基础，不用跳，概念不清后面全是照抄。
后半段进入综合实战，AI Agent 的构建是其中比较有分量的一块——让模型不只是回答，而是能调用工具、分步骤完成任务。另外课程里还带了 Vue 和 React 的前端内容，目的是让你能把做出来的能力包成一个能给人用的界面，而不是停在命令行里。
对转行或想丰富作品集的人来说，比较务实的目标是：跟着走完之后，独立复现一套完整的问答 Demo，从数据处理到前端展示能自己串起来。这一套东西在面试里比证书管用。
适合什么基础，不适合什么基础
适合的人：有一点编程概念、能看懂基本代码逻辑的上班族或转行者，尤其是已经在做后端、数据、产品或运营，想往大模型应用方向靠的人。课程配了章节笔记，方便课后复盘，也适合面试前快速过一遍。
不太适合的人：完全没接触过任何编程、指望「零代码月入过万」的，前期会卡住。另外，如果你已经能独立搭 RAG 系统，这门课对你偏基础，价值有限。
怎么用这份资料
- 按目录顺序走，别跳着看实战章节，缺了前面的概念铺垫会变成照抄代码。
- 每完成两三节，用笔记整理一小段自己的话复述，比单纯看完有效。
- 英语授课配中文字幕，遇到关键概念建议放慢，术语听清比看完重要。
- 最后一定要自己动手复现一套，跑通一遍比看懂十遍强。
整体看，这是一门偏向「能落地」的课，不承诺速成，也不吹岗位前景。它的价值取决于你愿不愿意跟着动手。如果只是想先了解提示工程和 RAG 是怎么回事，看前几章就够；如果是奔着能独立做项目去，那 22 小时的投入算是合理的。建议先想清楚自己要的是哪一种，再决定跟到哪。
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）
课程目录
* 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
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