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

先看规模：216 讲塞进 22 小时意味着什么

216 讲、22 小时 23 分钟，平均下来每讲只有六分多钟。这个数字本身就说明了课程的组织方式：它不是那种一节课讲透一个大模块的讲座型课程，而是把知识点切成小颗粒，一节只解决一个问题。好处是碎片时间能推进，坏处是如果你指望靠听课获得体系感，大概率会听完就忘。所以这门课的正确用法不是"看"，而是"拆"——把它当成一套可以按需检索的视频手册，而不是一条必须从头走到尾的路径。

需要注意的是英语授课配中文字幕。技术术语部分问题不大，但涉及 RAG 架构取舍、Agent 设计思路这类需要听讲解逻辑的段落，字幕会损失一部分语气和强调，建议这类章节放慢速度，别用倍速刷。

含金量集中在这三块

课程技能清单里同时出现了 RAG、Embedding、Prompt 工程、Agent，以及 Vue / React 前端工程化。这个组合不是随便拼的，它对应的是眼下大模型落地岗位最真实的一个分工：后端负责检索与生成链路，前端负责把对话和知识库界面做出来。两样都碰，才做得出能演示的完整 Demo。

按投入产出比排，值得精看的是：检索增强生成与向量检索这一块。Embedding 怎么选、切分粒度怎么定、召回质量怎么评估，这些是 RAG 项目里真正决定效果的地方，也是最容易在面试中被追问的细节。其次是Agent 构建，重点看工具调用和任务拆解的部分，而不是它调了哪个框架。第三是前后端打通的那几节，很多人的作品集死在"模型跑通了但没界面"，这几节正好补上。

相对可以略过的是基础概念铺垫和纯前端语法复习部分。如果你已经有前端或后端经验，这些章节快速过一遍确认没有知识盲区即可，不值得逐节记笔记。

资料包拆开用的三种方式

配套章节笔记是这门课里最该被单独对待的东西。它不该被当成"课后复习材料"，而应该被当成主索引：先扫笔记定位到具体小节，再决定要不要点开视频。216 讲的体量，全靠视频找内容效率太低。

当检索表用：遇到具体问题（比如向量库选型、提示词结构化输出）时，从笔记反查对应小节，跳着看。
当复盘清单用：每完成一个模块，对着笔记自问一遍关键取舍，答不上来的回去补视频。
当项目骨架用：综合实战章节的笔记可以整理成一份技术选型说明，直接放进作品集的 README，比截图有说服力。

视频本身建议只精看一遍，之后全部依赖笔记回查。重复刷视频是这类长课程最常见的时间浪费。

谁适合拿它当主力材料

这门课更适合已经有一门编程语言基础、想把大模型能力接进自己现有技术栈的人。如果你完全没有工程经验，22 小时里相当一部分内容会变成"看得懂但做不出"。相反，如果你是大模型方向的初学者但写过后端或前端，这套课的结构刚好补上"从能调 API 到能交付一个系统"中间那段最缺的工程细节。学完的合理目标不是"掌握全栈"，而是能独立复现一套带检索、带界面、能演示的问答 Demo，把它写进作品集。

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