2026年AI人工智能提示工程师全栈培训课程

如果你已经能调通大模型 API，却说不清 RAG 里为什么先切块再向量化；或者简历上写了"熟悉提示词工程"，被问到 few-shot 与思维链该怎么选、温度参数调到多少合适时只能含糊带过——这门课对应的就是这类缺口。它不讲"AI 会改变世界"，而是把提示工程师日常真正要动手的部分拆开：提示词怎么写、向量怎么检、检索怎么增强生成、智能体怎么串起来，以及前端那一层怎么把整条链路展示给用户。

先确认你缺的是哪一块

提示工程师这个岗位名字容易被误解。实际工作里，纯写提示词只是一小部分，更多时间花在三件事上：把非结构化资料变成可检索的向量、控制大模型输出的稳定性、把模型能力接进一个能跑起来的产品。这门课把它们放在同一条线上讲，正好方便你对号入座。

• 只会写零散提示词，没系统练过角色设定、输出格式约束、少样本示例的组织方式；
• 听过 RAG 但没亲手做过完整的检索链路，不清楚切块大小、重叠长度、相似度阈值怎么影响最终答案；
• 能写后端接口，但不知道怎么把流式输出、引用来源、对话历史接到前端页面上；
• 想搭智能体，却分不清工具调用、任务规划、记忆这几层各自解决什么问题。

如果上面中了两条以上，按顺序看下去会比跳着看省力。216 讲、22 小时多的体量，平均每讲不到七分钟，适合拆成每天几讲的节奏，而不是周末一口气刷完。

提示词部分：从"能出结果"到"能稳定出结果"

课程在提示词这块的落点不是收集模板，而是让你理解为什么同一个任务换个写法效果差很多。你需要带着问题去看：同样的输入，为什么加了输出格式约束之后解析成功率会上升？少样本示例放几个才合适，放多了会不会反而干扰？思维链在什么类型的任务上有效，在什么任务上是浪费 token？

这些问题的答案没有统一数字，但课程会给出可复现的对比方式。学的时候建议自己准备一个固定测试集，每改一次提示词就重跑一遍，用结果说话。这个习惯本身就是提示工程师的核心工作方式。

RAG 与向量检索：这门课最需要动手的部分

检索增强生成是当前企业落地最常见的形态，也是这门课占比最重的部分。它会从 Embedding 讲起，走到向量库的写入与查询，再到检索结果如何拼进提示词、如何让模型基于检索内容作答而不是自由发挥。

这部分光看会误以为懂了。真正卡人的是细节：文档怎么切，表格和代码块要不要单独处理；相似度召回不准确时，是该改切块策略还是该换嵌入模型；召回了五条但只有一条相关，怎么让模型不被干扰。建议每学完一段就用自己的资料做一次实验，哪怕只是几十页 PDF，也能暴露出讲义里看不到的问题。

智能体与前端：把链路变成能演示的东西

智能体部分会涉及工具调用与多步任务的编排逻辑，你需要弄清楚模型在什么条件下决定调用外部工具、调用失败后怎么兜底。前端部分覆盖 Vue 与 React 相关工程化内容，作用是把流式回复、检索来源、对话状态这些可见地呈现出来。

这两块合起来，决定了你能不能独立做出一个可演示的作品。对于转岗的人来说，一个能跑通"上传资料—提问—带引用回答"的完整 Demo，比简历上的关键词更有说服力。课程配有章节笔记，适合在动手卡住时回头对照，也方便面试前把关键概念快速过一遍。

看完应该能回答的问题

• 一份新资料进来，你按什么标准决定切块大小，怎么验证这个选择是否合适？
• 模型答非所问时，你怎么判断问题出在检索环节还是生成环节？
• 同一个任务，你会怎么对比两版提示词的优劣，用什么指标衡量？
• 智能体调用外部工具失败，你的降级方案是什么？
• 把整条链路搬到前端时，流式输出和引用展示分别要处理哪些状态？

英语授课配中文字幕，术语密集的章节建议放慢速度，必要时对照笔记确认理解。学完不必急着追新框架，先把这条主链路的每一步都亲手跑通一遍，比多学几个工具名更管用。

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