2026年AI人工智能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。
课程内容围绕提示工程（Prompt Engineering）展开，覆盖GPT-5、Veo3、Midjourney、ChatGPT、GitHub Copilot等主流AI工具的实际应用。从提示工程基础概念讲起，逐步深入到词元、对数概率、AI幻觉等关键技术点，再到角色提示、元提示、渐进式提取等进阶技巧。课程还包含真实项目实战，比如用AI生成SEO优化博文、商用图库素材创作，以及LangChain、DSPy等工程化框架的使用。
适合想系统学习提示工程、提升AI协作能力的学习者。
2026年AI人工智能提示工程师全栈培训课程
1 -课程导论 Introduction
1. Introduction to the Course.en_US.srt
1. Introduction to the Course.mp4
1. Introduction to the Course (Description).html
2. What is Prompt Engineering.en_US.srt
2. What is Prompt Engineering.mp4
2. What is Prompt Engineering (Description).html
3. Accessing Resources and Prompts.html
3. Accessing Resources and Prompts (Description).html
4. Optional Videos to only do if you Know Coding.en_US.srt
4. Optional Videos to only do if you Know Coding.mp4
4. Optional Videos to only do if you Know Coding (Description).html
5. ChatGPT – Prompt Pack – Database.url
5. ChatGPT – Prompt Pack – Homepage.url
5. ChatGPT AI Prompt Pack – 705 Effective Prompts.en_US.srt
5. ChatGPT AI Prompt Pack – 705 Effective Prompts.mp4
5. ChatGPT AI Prompt Pack – 705 Effective Prompts (Description).html
6. Github Repository.url
6. Github Repository for the Course – Coding.en_US.srt
6. Github Repository for the Course – Coding.mp4
6. Github Repository for the Course – Coding (Description).html
7. AI Resource Hub.html
7. AI Resource Hub (Description).html
8. Curriculum Overview.en_US.srt
8. Curriculum Overview.mp4
8. Curriculum Overview (Description).html
2 – 提示词五大核心准则 Five Principles of Prompting
9. Give Direction.en_US.srt
9. Give Direction.mp4
9. Give Direction.pdf
9. Give Direction.url
9. Give Direction (Description).html
10. Specify Format.en_US.srt
10. Specify Format.mp4
10. Specify Format.pdf
10. Specify Format.url
10. Specify Format (Description).html
11. Provide Examples.en_US.srt
11. Provide Examples.mp4
11. Provide Examples.pdf
11. Provide Examples.url
11. Provide Examples (Description).html
12. Evaluate Quality.mp4
12. Evaluate Quality.pdf
12. Evaluate Quality.url
12. Evaluate Quality (Description).html
13. Divide Labor.en_US.srt
13. Divide Labor.mp4
13. Divide Labor.pdf
13. Divide Labor.url
13. Divide Labor (Description).html
14. Applying The Five Principles + Worksheet & One Pagers.en_US.srt
14. Applying The Five Principles + Worksheet & One Pagers.mp4
14. Applying The Five Principles + Worksheet & One Pagers (Description).html
14. chatgpt-prompt.txt
14. Copy the Worksheet Template.url
14. OnePager-Images.png
14. OnePager-Text.png
14. Prompt Engineering Principles Worksheet Template.xlsx
14. stable-diffusion-prompt.txt
3 – 人工智能底层原理 How Does AI Work
15. Official Documentation – OpenAI Models.url
15. OpenAI Tokenizer Tool.url
15. What Are Tokens_.pdf
15. What are Tokens.en_US.srt
15. What are Tokens.mp4
15. What are Tokens (Description).html
16. Chat Models vs Reasoning Models.en_US.srt
16. Chat Models vs Reasoning Models.mp4
16. Chat Models vs Reasoning Models (Description).html
16. Slides – Chat Models vs Reasoning Models.url
17. AI Hallucinations.en_US.srt
17. AI Hallucinations.mp4
17. AI Hallucinations (Description).html
17. aurora_digital_company_profile.txt
4 – ChatGPT 深度探讨 Deep Dive on ChatGPT
18. ChatGPT.url
18. What is ChatGPT_ Mar25.pdf
18. What is ChatGPT.en_US.srt
18. What is ChatGPT.mp4
18. What is ChatGPT.url
18. What is ChatGPT (Description).html
19. Prompting ChatGPT.en_US.srt
19. Prompting ChatGPT.mp4
19. Prompting ChatGPT (Description).html
20. ChatGPT – Capabilities and Limitations.en_US.srt
20. ChatGPT – Capabilities and Limitations.mp4
20. ChatGPT – Capabilities and Limitations (Description).html
20. ChatGPT Capabilities and Limitations.pdf
20. ChatGPT Capabilities and Limitations.url
21. ChatGPT – Search.en_US.srt
21. ChatGPT – Search.mp4
21. ChatGPT – Search (Description).html
22. ChatGPT – Deep Research.en_US.srt
22. ChatGPT – Deep Research.mp4
22. ChatGPT – Deep Research (Description).html
22. Why didn't memetics become a science.url
23. ChatGPT – Data Analysis.en_US.srt
23. ChatGPT – Data Analysis.mp4
23. ChatGPT – Data Analysis (Description).html
23. students.csv
24. ChatGPT – Image Generation.en_US.srt
24. ChatGPT – Image Generation.mp4
24. ChatGPT – Image Generation (Description).html
25. ChatGPT – Adding Files.en_US.srt
25. ChatGPT – Adding Files.mp4
25. ChatGPT – Adding Files (Description).html
25. employee_data.xlsx.url
25. example.pdf.url
25. james-picture.png.url
26. ChatGPT – Agent Mode.en_US.srt
26. ChatGPT – Agent Mode.mp4
26. ChatGPT – Agent Mode.url
26. ChatGPT – Agent Mode (Description).html
27. ChatGPT – Custom Instructions.en_US.srt
27. ChatGPT – Custom Instructions.mp4
27. ChatGPT – Custom Instructions (Description).html
27. ChatGPT Custom Instructions Release.url
28. ChatGPT – Shortcuts.en_US.srt
28. ChatGPT – Shortcuts.mp4
28. ChatGPT – Shortcuts (Description).html
29. ChatGPT – Canvas.en_US.srt
29. ChatGPT – Canvas.mp4
29. ChatGPT – Canvas (Description).html
30. ChatGPT – Memory.en_US.srt
30. ChatGPT – Memory.mp4
30. ChatGPT – Memory (Description).html
30. ChatGPT Memory – Announcement.url
31. ChatGPT – Projects.en_US.srt
31. ChatGPT – Projects.mp4
31. ChatGPT – Projects (Description).html
32. ChatGPT – Scheduled Tasks.en_US.srt
32. ChatGPT – Scheduled Tasks.mp4
32. ChatGPT – Scheduled Tasks.url
32. ChatGPT – Scheduled Tasks (Description).html
33. ChatGPT – Vision.en_US.srt
33. ChatGPT – Vision.mp4
33. ChatGPT – Vision (Description).html
34. Vision Prompting Guide.en_US.srt
34. Vision Prompting Guide.mp4
34. Vision Prompting Guide.pdf
34. Vision Prompting Guide.url
34. Vision Prompting Guide (Description).html
35. ChatGPT – Desktop Application.en_US.srt
35. ChatGPT – Desktop Application.mp4
35. ChatGPT – Desktop Application (Description).html
35. ChatGPT Desktop Download Link.url
36. ChatGPT – Atlas.en_US.srt
36. ChatGPT – Atlas.mp4
36. ChatGPT – Atlas (Description).html
36. ChatGPT Atlas – Download Link.url
37. ChatGPT – Study & Learn.en_US.srt
37. ChatGPT – Study & Learn.mp4
37. ChatGPT – Study & Learn (Description).html
37. ChatGPT – Study Mode.url
38. ChatGPT – Group Chats.en_US.srt
38. ChatGPT – Group Chats.mp4
38. ChatGPT – Group Chats (Description).html
39. GPT Store – Building Custom GPTs.en_US.srt
39. GPT Store – Building Custom GPTs.mp4
39. GPT Store – Building Custom GPTs (Description).html
39. jokegpt-instructions.md
39. JokerGPT.url
5 – 标准文本模型实践 Standard Text Model Practices
40. Learn Prompting – Role Prompting.url
40. Role Prompting – Awesome Chat GPT Prompts.url
40. Role Prompting.en_US.srt
40. Role Prompting.mp4
40. Role Prompting (Description).html
41. Different Output Formats.en_US.srt
41. Different Output Formats.mp4
41. Different Output Formats (Description).html
41. social_media_posts.txt
41. students.csv
42. Least to Most.en_US.srt
42. Least to Most.mp4
42. Least to Most (Description).html
43. Explain It Like I'm Five.en_US.srt
43. Explain It Like I'm Five.mp4
43. Explain It Like I'm Five (Description).html
43. prompt.txt
44. Meta Prompting.en_US.srt
44. Meta Prompting.mp4
44. Meta Prompting (Description).html
44. prompt.txt
45. Overcoming the Maximum Token Output Length.en_US.srt
45. Overcoming the Maximum Token Output Length.mp4
45. Overcoming the Maximum Token Output Length (Description).html
46. prompt.txt
46. Sentiment Analysis.en_US.srt
46. Sentiment Analysis.mp4
46. Sentiment Analysis (Description).html
47. Prompt.txt
47. Writing Clear Instructions – Detailed Instructions.en_US.srt
47. Writing Clear Instructions – Detailed Instructions.mp4
47. Writing Clear Instructions – Detailed Instructions (Description).html
48. Prompt.txt
48. Writing Clear Instructions – Specifying the Steps.en_US.srt
48. Writing Clear Instructions – Specifying the Steps.mp4
48. Writing Clear Instructions – Specifying the Steps (Description).html
49. Prompt.txt
49. Writing Clear Instructions – Delimiters.en_US.srt
49. Writing Clear Instructions – Delimiters.mp4
49. Writing Clear Instructions – Delimiters (Description).html
50. Prompt.txt
50. Writing Clear Instructions – Specifying Length.en_US.srt
50. Writing Clear Instructions – Specifying Length.mp4
50. Writing Clear Instructions – Specifying Length (Description).html
51. Ask for Context.en_US.srt
51. Ask for Context.mp4
51. Ask for Context (Description).html
51. prompt.txt
52. Pre-Warming Chats.en_US.srt
52. Pre-Warming Chats.mp4
52. Pre-Warming Chats (Description).html
52. shoesize-prompt.txt
53. chatgpt_chunking.ipynb.url
53. Overcoming the Token Limit in ChatGPT.en_US.srt
53. Overcoming the Token Limit in ChatGPT.mp4
53. Overcoming the Token Limit in ChatGPT (Description).html
6 – OpenAI 功能与特性实操 – 编码 OpenAI Features & Functionality – Coding
54. Developer Forum.url
54. OpenAI Cookbook.url
54. OpenAI Documentation.url
54. OpenAI Features – Coding.en_US.srt
54. OpenAI Features – Coding.mp4
54. OpenAI Features – Coding (Description).html
54. OpenAI Features.pdf
54. OpenAI NodeJS SDK (package).url
54. OpenAI Python SDK (package).url
54. OpenAI Rate Limits & Quotas.url
55. API Key Website Link.url
55. Setting up an OpenAI Account & API Key – Coding.en_US.srt
55. Setting up an OpenAI Account & API Key – Coding.mp4
55. Setting up an OpenAI Account & API Key – Coding (Description).html
56. Anthropic (Claude) Pricing.url
56. Gemini (Google) Pricing.url
56. OpenAI Playground.url
56. OpenAI Pricing.url
56. Using OpenAI Playground & Exploring The Platform – Coding.en_US.srt
56. Using OpenAI Playground & Exploring The Platform – Coding.mp4
56. Using OpenAI Playground & Exploring The Platform – Coding (Description).html
57. responses_api_and_messages.ipynb.url
57. Responses API & Messages – Coding.en_US.srt
57. Responses API & Messages – Coding.mp4
57. Responses API & Messages – Coding (Description).html
58. Coding Notebook with Different OpenAI Services – Coding.mp4
58. Coding Notebook with Different OpenAI Services – Coding (Description).html
58. core_features_walkthrough.ipynb.url
59. how_to_count_tokens_using_tiktoken.ipynb.url
59. How to Count Tokens using tiktoken – Coding.mp4
59. How to Count Tokens using tiktoken – Coding (Description).html
60. managing_token_messages_manually_responses_api.ipynb.url
60. Managing The Message History – Coding.mp4
60. Managing The Message History – Coding (Description).html
61. streaming_with_responses_api.ipynb.url
61. What is Streaming – Coding.mp4
61. What is Streaming – Coding (Description).html
62. rate_limits_and_retrying_with_tenacity.ipynb.url
62. Rate Limits, Retrying and How to Overcome These Problems.mp4
62. Rate Limits, Retrying and How to Overcome These Problems (Description).html
63. chat_completions_vs_responses_api.ipynb.url
63. Chat Completions vs Responses API – Coding.mp4
63. Chat Completions vs Responses API – Coding (Description).html
64. What are Structured Outputs.mp4
64. What are Structured Outputs .pdf
64. What are Structured Outputs (Description).html
65. structured_outputs_using_openai.ipynb.url
65. Structured Outputs for OpenAI – Coding.mp4
65. Structured Outputs for OpenAI – Coding (Description).html
66. Understanding Tool Calling.mp4
66. Understanding Tool Calling.pdf
66. Understanding Tool Calling (Description).html
67. tool_calling.ipynb.url
67. Tool (Function) Calling.mp4
67. Tool (Function) Calling (Description).html
68. Building a Simple Agent with Tools.mp4
68. Building a Simple Agent with Tools (Description).html
68. learning_agents_from_scratch.ipynb.url
69. openai_features_and_functionality parallelization_of_requests_using_the_async_client.ipynb
69. parallelization_of_requests_using_the_async_client.ipynb.bin
69. Parallelization of requests with Async OpenAI.en_US.srt
69. Parallelization of requests with Async OpenAI.mp4
69. Parallelization of requests with Async OpenAI (Description).html
7 – 检索、嵌入与向量数据库 – 编码 Retrieval, Embeddings and Vector Databases – Coding
70. introduction_to_retrieval.ipynb.url
70. Introduction To Retrieval – Coding.mp4
70. Introduction To Retrieval – Coding (Description).html
70. Introduction To Retrieval.pdf
71. understanding_vector_embeddings.ipynb.url
71. Understanding Vector Embeddings – Coding.en_US.srt
71. Understanding Vector Embeddings – Coding.mp4
71. Understanding Vector Embeddings – Coding (Description).html
71. Understanding Vector Embeddings.pdf
72. information_retrieval_with_vector_databases.ipynb.bin
72. Retrieval Augmented Generation (RAG) with Vector Databases – Coding.en_US.srt
72. Retrieval Augmented Generation (RAG) with Vector Databases – Coding.mp4
72. Retrieval Augmented Generation (RAG) with Vector Databases – Coding (Description).html
73. Supabase.url
73. What is Supabase.en_US.srt
73. What is Supabase.mp4
73. What is Supabase (Description).html
74. API key from supabase.url
74. PG Vector Supabase.url
74. RAG with Supabase PGVector – Coding.en_US.srt
74. RAG with Supabase PGVector – Coding.mp4
74. RAG with Supabase PGVector – Coding (Description).html
74. retrieval_augmented_generation simple_rag_with_supabase_pgvector.ipynb.url
74. Set up supabase.url
74. simple_rag_with_supabase_pgvector.ipynb.bin
75. introduction_to_hybrid_retrieval_with_sql_filtering_&_embeddings.ipynb.url
75. Introduction to Hybrid Retrieval with SQL filtering & Embeddings – Coding.mp4
75. Introduction to Hybrid Retrieval with SQL filtering & Embeddings – Coding (Description).html
76. how_to_evaluate_retrievers.ipynb.url
76. How to Evaluate Retrievers – Coding.mp4
76. How to Evaluate Retrievers – Coding (Description).html
77. Extra Notebooks for Advanced Users – Coding.mp4
77. Extra Notebooks for Advanced Users – Coding (Description).html
8 – 搭建 AI 智能体 – 编码 Building AI Agents – Coding
78. AI Agents and Workflows – Coding.mp4
78. AI Agents and Workflows – Coding (Description).html
78. AI Agents and Workflows.pdf
79. multi_source_customer_support_agent.ipynb.url
79. Multi-Source Customer Support Agent – Coding.mp4
79. Multi-Source Customer Support Agent – Coding (Description).html
79. resources (folder).url
80. introduction_to_openai_ai_agents_sdk.ipynb.url
80. Introduction to OpenAI Agents SDK – Coding.mp4
80. Introduction to OpenAI Agents SDK – Coding (Description).html
81. blog_post_generator_agent.ipynb.url
81. Exercise – Blog Post Generator Agent (Workflow) – Coding.mp4
81. Exercise – Blog Post Generator Agent (Workflow) – Coding (Description).html
82. Building a Coding Agent – Coding.mp4
82. Building a Coding Agent – Coding (Description).html
82. Github Folder.url
82. Google Colab folder.url
9 – 高级文本模型技术 – 编码 Advanced Text Model Techniques – Coding
83. role_prompting.ipynb.url
83. Role Prompting – Coding.en_US.srt
83. Role Prompting – Coding.mp4
83. Role Prompting – Coding (Description).html
84. few_shot_learning.ipynb.url
84. Few Shot Learning – Coding.en_US.srt
84. Few Shot Learning – Coding.mp4
84. Few Shot Learning – Coding (Description).html
85. emotion_prompting.ipynb.url
85. Emotion Prompting – Coding.en_US.srt
85. Emotion Prompting – Coding.mp4
85. Emotion Prompting – Coding (Description).html
86. chain_of_thought.ipynb.url
86. Chain of Thought – Coding.en_US.srt
86. Chain of Thought – Coding.mp4
86. Chain of Thought – Coding (Description).html
87. Self-Consistency Sampling – Coding.en_US.srt
87. Self-Consistency Sampling – Coding.mp4
87. Self-Consistency Sampling – Coding (Description).html
87. SelfConsistencySampling.ipynb.url
88. A simple Python implementation of the ReAct pattern for LLMs.url
88. prompt.txt
88. ReAct_implementation.ipynb.url
88. Reason and Act (ReAct) – Coding.en_US.srt
88. Reason and Act (ReAct) – Coding.mp4
88. Reason and Act (ReAct) – Coding (Description).html
89. AskRally.url
89. personas_of_thought.ipynb.url
89. Personas of Thought – Coding.en_US.srt
89. Personas of Thought – Coding.mp4
89. Personas of Thought – Coding (Description).html
89. Personas of Thought.url
90. prompt_optimization.ipynb.url
90. Prompt Optimization – Coding.en_US.srt
90. Prompt Optimization – Coding.mp4
90. Prompt Optimization – Coding (Description).html
91. What is Prompt Caching – Coding.en_US.srt
91. What is Prompt Caching – Coding.mp4
91. What is Prompt Caching – Coding (Description).html
91. What is Prompt Caching.url
92. prompt_caching.ipynb.url
92. Prompt Caching in Practice – Coding.mp4
92. Prompt Caching in Practice – Coding (Description).html
93. Github – OpenAI Realtime Console.url
93. OpenAI Realtime – Example – Coding.en_US.srt
93. OpenAI Realtime – Example – Coding.mp4
93. OpenAI Realtime – Example – Coding (Description).html
93. Realtime API.url
93. Realtime API with WebRTC.url
93. Realtime API with WebSockets Beta.url
10 – LangChain 深度探讨 -编码 Deep Dive on LangChain – Coding
94. JS TypeScript Documentation for LangChain.url
94. Prompt Engineering Course – What Is LangChain .mp4
94. Python Documentation for LangChain.html
94. What Is LangChain – Coding.en_US.srt
94. What Is LangChain – Coding.mp4
94. What Is LangChain – Coding (Description).html
95. Installation – Coding.en_US.srt
95. Installation – Coding.mp4
95. Installation – Coding (Description).html
95. Installation Documentation.url
95. langchain_installation.ipynb.url
96. chat_models.ipynb.url
96. Chat Models – Coding.en_US.srt
96. Chat Models – Coding.mp4
96. Chat Models – Coding (Description).html
97. chat_models_prompt_templates.ipynb.url
97. Chat Prompt Templates – Coding.en_US.srt
97. Chat Prompt Templates – Coding.mp4
97. Chat Prompt Templates – Coding (Description).html
98. chat_models_streaming.ipynb.url
98. Streaming – Coding.en_US.srt
98. Streaming – Coding.mp4
98. Streaming – Coding (Description).html
99. chat_models_output_parsing.ipynb.url
99. Output Parsers – Coding.en_US.srt
99. Output Parsers – Coding.mp4
99. Output Parsers – Coding (Description).html
100. chat_models_summarization_chains.ipynb.url
100. Summarizing Large Amounts of Text – Coding.en_US.srt
100. Summarizing Large Amounts of Text – Coding.mp4
100. Summarizing Large Amounts of Text – Coding (Description).html
101. chat_models_document_loaders_and_text_splitting.ipynb.url
101. Document Loaders, Text Splitting & Creating LangChain Documents – Coding.en_US.srt
101. Document Loaders, Text Splitting & Creating LangChain Documents – Coding.mp4
101. Document Loaders, Text Splitting & Creating LangChain Documents – Coding (Description).html
102. chat_models_tagging_documents.ipynb.url
102. Tagging Documents – Coding.en_US.srt
102. Tagging Documents – Coding.mp4
102. Tagging Documents – Coding (Description).html
103. LCEL_runnable_interface.ipynb.url
103. LCEL – The Runnable Protocol – Coding.en_US.srt
103. LCEL – The Runnable Protocol – Coding.mp4
103. LCEL – The Runnable Protocol – Coding (Description).html
104. LCEL_chat_models_itemgetter_rag.ipynb.url
104. LCEL – Chat Models, itemgetter & RAG – Coding.en_US.srt
104. LCEL – Chat Models, itemgetter & RAG – Coding.mp4
104. LCEL – Chat Models, itemgetter & RAG – Coding (Description).html
105. LCEL_conversation_history_and_memory.ipynb.url
105. LCEL – Chat Message History & Memory – Coding.en_US.srt
105. LCEL – Chat Message History & Memory – Coding.mp4
105. LCEL – Chat Message History & Memory – Coding (Description).html
106. LCEL_multiple_chains.ipynb.url
106. LCEL – Creating Multiple Chains – Coding.en_US.srt
106. LCEL – Creating Multiple Chains – Coding.mp4
106. LCEL – Creating Multiple Chains – Coding (Description).html
107. LCEL_conditional_logic_branching_and_merging.ipynb.url
107. LCEL – Conditional Logic, Branching & Merging – Coding.en_US.srt
107. LCEL – Conditional Logic, Branching & Merging – Coding.mp4
107. LCEL – Conditional Logic, Branching & Merging – Coding (Description).html
108. LangChain Vector Databases + The Indexing API – Coding.en_US.srt
108. LangChain Vector Databases + The Indexing API – Coding.mp4
108. LangChain Vector Databases + The Indexing API – Coding (Description).html
108. vectorstores_and_the_indexing_api.ipynb.url
109. LCEL_configurable_fields.ipynb.url
109. LCEL Configurable Fields – Coding.en_US.srt
109. LCEL Configurable Fields – Coding.mp4
109. LCEL Configurable Fields – Coding (Description).html
110. langchain_agents_and_tools.ipynb.url
110. LangChain Agents & Tools – Coding.en_US.srt
110. LangChain Agents & Tools – Coding.mp4
110. LangChain Agents & Tools – Coding (Description).html
11 – LangGraph 深度探讨 – 编码 Deep Dive On LangGraph – Coding
111. Introduction To LangGraph – Coding.en_US.srt
111. Introduction To LangGraph – Coding.mp4
111. Introduction To LangGraph – Coding (Description).html
111. Slides.url
112. simple_langgraph.ipynb.url
112. Simple LangGraph Flows – Coding.en_US.srt
112. Simple LangGraph Flows – Coding.mp4
112. Simple LangGraph Flows – Coding (Description).html
113. tool_usage_and_persistence_in_langgraph.ipynb.url
113. Tool Usage and Persistence – Coding.en_US.srt
113. Tool Usage and Persistence – Coding.mp4
113. Tool Usage and Persistence – Coding (Description).html
114. human_in_the_loop.ipynb.url
114. Human In The Loop – Coding.en_US.srt
114. Human In The Loop – Coding.mp4
114. Human In The Loop – Coding (Description).html
115. manually_updating_the_state.ipynb.url
115. Manually Updating The State – Coding.en_US.srt
115. Manually Updating The State – Coding.mp4
115. Manually Updating The State – Coding (Description).html
116. customizing_state.ipynb.url
116. Customizing State in LangGraph – Coding.en_US.srt
116. Customizing State in LangGraph – Coding.mp4
116. Customizing State in LangGraph – Coding (Description).html
117. time_travel.ipynb.url
117. Time Travel – Coding.en_US.srt
117. Time Travel – Coding.mp4
117. Time Travel – Coding (Description).html
118. langgraph_self_rag.ipynb.url
118. RAG in LangGraph (Self Corrective RAG) – Coding.en_US.srt
118. RAG in LangGraph (Self Corrective RAG) – Coding.mp4
118. RAG in LangGraph (Self Corrective RAG) – Coding (Description).html
119. Extra Content.url
119. Extra Content To Explore In Your Own Time Advanced Branching Subgraphs – Coding.en_US.srt
119. Extra Content To Explore In Your Own Time Advanced Branching Subgraphs – Coding.mp4
12 – AI 文本大模型实战项目 AI Text Model Projects
120. joke-prompt.txt
120. Tell me a funny joke.en_US.srt
120. Tell me a funny joke.mp4
120. Tell me a funny joke (Description).html
121. Create an Entire Ebook.en_US.srt
121. Create an Entire Ebook.mp4
121. Create an Entire Ebook (Description).html
122. SEO Blog Articles.en_US.srt
122. SEO Blog Articles.mp4
122. SEO Blog Articles (Description).html
123. prompt.txt
123. Thought Leadership Posts.en_US.srt
123. Thought Leadership Posts.mp4
123. Thought Leadership Posts (Description).html
124. Write a PRD.en_US.srt
124. Write a PRD.mp4
124. Write a PRD.pdf
124. Write a PRD.url
124. Write a PRD (Description).html
125. News Article Summarization.pdf
125. Summarize a News Story – Coding.en_US.srt
125. Summarize a News Story – Coding.mp4
125. Summarize a News Story – Coding (Description).html
125. Summarize a news story.url
126. summarizing_large_documents.ipynb.url
126. Summarizing An Entire Book – Coding.en_US.srt
126. Summarizing An Entire Book – Coding.mp4
126. Summarizing An Entire Book – Coding (Description).html
127. review_classification.ipynb.url
127. Review Classification – Coding.en_US.srt
127. Review Classification – Coding.mp4
127. Review Classification – Coding (Description).html
128. text_to_speech.ipynb.url
128. Text To Speech using OpenAI – Coding.en_US.srt
128. Text To Speech using OpenAI – Coding.mp4
128. Text To Speech using OpenAI – Coding (Description).html
129. LMStudio Download.url
129. local_llama3.ipynb.url
129. Using LangChain + Llama3 Locally with LMStudio – Coding.en_US.srt
129. Using LangChain + Llama3 Locally with LMStudio – Coding.mp4
129. Using LangChain + Llama3 Locally with LMStudio – Coding (Description).html
130. transcribing_audio_from_a_youtube_video.ipynb.url
130. Transcribing audio from a Youtube Video – Coding.en_US.srt
130. Transcribing audio from a Youtube Video – Coding.mp4
130. Transcribing audio from a Youtube Video – Coding (Description).html
131. fine_tuning.ipynb.url
131. Fine-Tuning on Writing Style – Coding.en_US.srt
131. Fine-Tuning on Writing Style – Coding.mp4
131. Fine-Tuning on Writing Style – Coding (Description).html
131. training_data.jsonl.url
132. Bait-Hook-Reward-Payload How to (actually) write engaging LinkedIn posts with ChatGPT.url
132. Prompt Link on OpenAI.url
132. Social Media Posting – Coding.en_US.srt
132. Social Media Posting – Coding.mp4
132. Social Media Posting – Coding (Description).html
132. socialposts-prompt.txt
133. ai_text_model_projects progressive_summarization.ipynb
133. Progressive Summarization – Coding.en_US.srt
133. Progressive Summarization – Coding.mp4
133. Progressive Summarization – Coding (Description).html
134. all_text.txt.url
134. analysis.ipynb.url
134. Lenny Newsletter – Sheet1.csv.url
134. Reverse Engineering a Publication – Coding.en_US.srt
134. Reverse Engineering a Publication – Coding.mp4
134. Reverse Engineering a Publication – Coding (Description).html
134. scrape-lenny.js.url
134. scrape.ipynb.url
135. Building a GPT wrapper with Flask and HTMX – Coding.en_US.srt
135. Building a GPT wrapper with Flask and HTMX – Coding.mp4
135. Building a GPT wrapper with Flask and HTMX – Coding (Description).html
135. joke_gpt_site.zip.url
136. Qualitative Analysis- Coding.en_US.srt
136. Qualitative Analysis- Coding.mp4
136. Qualitative Analysis- Coding (Description).html
136. quantitative_analysis.ipynb.url
137. claim_review.ipynb.url
137. Claim Detection – Coding.en_US.srt
137. Claim Detection – Coding.mp4
137. Claim Detection – Coding (Description).html
138. AI Voice Assistant Python Documentation.url
138. Download ngrok.url
138. main.py
138. OpenAI Realtime – Twilio Example – Coding.en_US.srt
138. OpenAI Realtime – Twilio Example – Coding.mp4
138. OpenAI Realtime – Twilio Example – Coding (Description).html
138. OpenAI Realtime API Documentation.url
139. automating_product_descriptions.ipynb.url
139. Automating Product Descriptions via GPT-V – Coding.en_US.srt
139. Automating Product Descriptions via GPT-V – Coding.mp4
139. Automating Product Descriptions via GPT-V – Coding (Description).html
140. Automating UX Landing Page Analysis via GPT-V – Coding.en_US.srt
140. Automating UX Landing Page Analysis via GPT-V – Coding.mp4
140. Automating UX Landing Page Analysis via GPT-V – Coding (Description).html
140. ux_landing_page_analysis.ipynb.url
141. memetic_analysis.ipynb.url
141. Memetic Analysis with GPT-V.en_US.srt
141. Memetic Analysis with GPT-V.mp4
141. Memetic Analysis with GPT-V (Description).html
13 – Midjourney v6 深度探讨 Deep Dive on Midjourney v6
142. What is Midjourney_ – Google Slides – 13 March 2023.mp4
142. What is Midjourney_.pdf
142. What is Midjourney.en_US.srt
142. What is Midjourney.mp4
142. What is Midjourney (Description).html
143. prompt.txt
143. Prompting Midjourney.en_US.srt
143. Prompting Midjourney.mp4
143. Prompting Midjourney (Description).html
144. Midjourney Capabilities and Limitations.en_US.srt
144. Midjourney Capabilities and Limitations.mp4
144. Midjourney Capabilities and Limitations.pdf
144. Midjourney Capabilities and Limitations (Description).html
14 – 标准图像模型实践 Standard Image Model Practices
145. hammer_golden_gate_bridge_in_the_style_of_surrealism_7bf86b86-c881-429b-8839-24e28bcefcc7.png
145. prompt.txt
145. Style Modifiers.en_US.srt
145. Style Modifiers.mp4
145. Style Modifiers (Description).html
146. hammer_peppa_pig_5db80508-37da-4f7d-a04e-f33701ebee7a.png
146. Negative Prompts.en_US.srt
146. Negative Prompts.mp4
146. Negative Prompts (Description).html
146. prompt.txt
147. hammer_golden_gate_bridge_b841a73e-9ea3-45de-a22a-ec4d00ac9ba4.png
147. prompt.txt
147. Weighted Terms.en_US.srt
147. Weighted Terms.mp4
147. Weighted Terms (Description).html
148. Realistic Models.en_US.srt
148. Realistic Models.mp4
148. Realistic Models (Description).html
149. Midjourney Inpainting (Vary Region).en_US.srt
149. Midjourney Inpainting (Vary Region).mp4
149. Midjourney Inpainting (Vary Region) (Description).html
150. Midjourney Outpainting (Zoom Out Pan).en_US.srt
150. Midjourney Outpainting (Zoom Out Pan).mp4
150. Midjourney Outpainting (Zoom Out Pan) (Description).html
151. character-prompt.txt
151. Consistent Characters.en_US.srt
151. Consistent Characters.mp4
151. Consistent Characters (Description).html
152. Permutations Prompts.en_US.srt
152. Permutations Prompts.mp4
152. Permutations Prompts (Description).html
152. prompt.txt
153. prompt.txt
153. Prompt Reverse-Engineering.en_US.srt
153. Prompt Reverse-Engineering.mp4
153. Prompt Reverse-Engineering (Description).html
154. Prompt Token Analysis.en_US.srt
154. Prompt Token Analysis.mp4
154. Prompt Token Analysis (Description).html
155. DALL-E 2 Unbundling.url
155. DALL·E 2025-03-19 14.14.51 – A surrealist painting of Times Square with dreamlike and fantastical elements. The scene includes melting clocks draped over buildings and billboards,.webp
155. meme-unbundling-prompt.txt
155. Meme Unbundling.en_US.srt
155. Meme Unbundling.mp4
155. Meme Unbundling (Description).html
15 – 高级图形生成技术 Advanced Image Generation Techniques
156. Fal AI Playground.en_US.srt
156. Fal AI Playground.mp4
156. Fal AI Playground (Description).html
156. Fal Playground.url
157. text_to_image_with_flux.ipynb
157. Text to Image with Flux.en_US.srt
157. Text to Image with Flux.mp4
157. Text to Image with Flux (Description).html
158. async_text_to_image_with_flux.ipynb
158. Async Text to Image with Flux.mp4
158. Async Text to Image with Flux (Description).html
159. X Y Z Prompt Grids.en_US.srt
159. X Y Z Prompt Grids.mp4
159. X Y Z Prompt Grids (Description).html
159. xyz_prompt_grids.ipynb
160. image_upscaling_with_clarity.ipynb
160. Image Upscaling with Clarity.mp4
160. Image Upscaling with Clarity (Description).html
161. image_to_image_with_flux.ipynb
161. Image to Image with Flux.mp4
161. Image to Image with Flux (Description).html
162. image_editing_with_flux_kontext.ipynb
162. Image Editing with Flux.Kontext.en_US.srt
162. Image Editing with Flux.Kontext.mp4
162. Image Editing with Flux.Kontext (Description).html
163. advanced_inpainting_with_flux.ipynb
163. Advanced Inpainting with Flux.mp4
163. Advanced Inpainting with Flux (Description).html
164. draw_image_mask_with_gradio.ipynb
164. Draw Image Mask with Gradio.en_US.srt
164. Draw Image Mask with Gradio.mp4
164. Draw Image Mask with Gradio (Description).html
165. segment_anything_inpainting.ipynb
165. Segment Anything Masking.en_US.srt
165. Segment Anything Masking.mp4
165. Segment Anything Masking (Description).html
166. advanced_outpainting_with_flux.ipynb
166. Advanced Outpainting with Flux.en_US.srt
166. Advanced Outpainting with Flux.mp4
166. Advanced Outpainting with Flux (Description).html
167. advanced_consistent_characters.ipynb
167. Advanced Consistent Characters.en_US.srt
167. Advanced Consistent Characters.mp4
167. Advanced Consistent Characters (Description).html
168. control_net.ipynb
168. ControlNet with Flux Pro.en_US.srt
168. ControlNet with Flux Pro.mp4
168. ControlNet with Flux Pro (Description).html
169. fine_tuning_with_flux_lora.ipynb
169. Fine-Tuning with Flux Lora.en_US.srt
169. Fine-Tuning with Flux Lora.mp4
169. Fine-Tuning with Flux Lora (Description).html
170. Flux Dev.url
170. Image to Video with Kling AI.en_US.srt
170. Image to Video with Kling AI.mp4
170. Image to Video with Kling AI (Description).html
170. kling-prompt.txt
170. Kling AI.url
171. Comfy UI.en_US.srt
171. Comfy UI.mp4
171. Comfy UI (Description).html
171. ComfyUI_colab.ipynb
171. OpenArt.url
171. Stable Diffusion Art ComfyUI guide.url
16 – AI 图像模型项目 AI Image Model Projects
172. AI Custom Illustrations.en_US.srt
172. AI Custom Illustrations.mp4
172. AI Custom Illustrations (Description).html
172. prompt.txt
173. Making a Brand Logo.en_US.srt
173. Making a Brand Logo.mp4
173. Making a Brand Logo (Description).html
173. notebook.ipynb.url
174. AI Stock Photos.en_US.srt
174. AI Stock Photos.mp4
174. AI Stock Photos (Description).html
174. hammer_stock_photo_of_business_meeting_of_four_people_watching__8310ade7-1609-449b-a29c-dbc398854aa2.png
174. prompt.txt
175. Runway – Creating b-roll footage.en_US.srt
175. Runway – Creating b-roll footage.mp4
175. Runway – Creating b-roll footage (Description).html
176. Product_DreamBooth_Stable_Diffusion.ipynb.url
176. Product Placement – Coding.en_US.srt
176. Product Placement – Coding.mp4
176. Product Placement – Coding (Description).html
176. prompt.txt
177. creative_ultra.ipynb.url
177. Tagging Ad Creative – Coding.en_US.srt
177. Tagging Ad Creative – Coding.mp4
177. Tagging Ad Creative – Coding (Description).html
178. AI Profile Picture – Coding.en_US.srt
178. AI Profile Picture – Coding.mp4
178. AI Profile Picture – Coding (Description).html
178. Profile_Picture_DreamBooth_Stable_Diffusion.ipynb.url
17 – 提示词优化与效果评估 Prompt Optimization & Evals
179. What are Evals.url
179. What are Evals (Evaluations).en_US.srt
179. What are Evals (Evaluations).mp4
179. What are Evals (Evaluations) (Description).html
180. evaluation_metrics.ipynb.url
180. LLM & Image Model Performance Advanced Evaluation Strategies – Coding.en_US.srt
180. LLM & Image Model Performance Advanced Evaluation Strategies – Coding.mp4
180. LLM & Image Model Performance Advanced Evaluation Strategies – Coding (Description).html
181. Blog Post Prompt Test.url
181. Prompt Testing in GSheets (without code).en_US.srt
181. Prompt Testing in GSheets (without code).mp4
181. Prompt Testing in GSheets (without code) (Description).html
182. Eval for a RAG system (special guest).en_US.srt
182. Eval for a RAG system (special guest).mp4
182. Eval for a RAG system (special guest) (Description).html
182. PromptLayer.url
183. dspy.ipynb.url
183. Prompt Optimization with DSPy – Coding.en_US.srt
183. Prompt Optimization with DSPy – Coding.mp4
183. Prompt Optimization with DSPy – Coding (Description).html
184. Eval metrics with DSPy – Coding.en_US.srt
184. Eval metrics with DSPy – Coding.mp4
184. Eval metrics with DSPy – Coding (Description).html
184. funeval.ipynb.url
185. Prompt Optimization 5 Principles of Prompting – Coding.en_US.srt
185. Prompt Optimization 5 Principles of Prompting – Coding.mp4
185. Prompt Optimization 5 Principles of Prompting – Coding (Description).html
185. social_media_posts.ipynb.url
186. Prompt Optimization Advanced – Coding.en_US.srt
186. Prompt Optimization Advanced – Coding.mp4
186. Prompt Optimization Advanced – Coding (Description).html
186. social_media_posts.ipynb.url
187. dspy_primer_with_every.ipynb.url
187. DSPy Primer (with the Every team).en_US.srt
187. DSPy Primer (with the Every team).mp4
187. DSPy Primer (with the Every team) (Description).html
187. DSPy Primer with Every.url
18 – 智能体架构设计 – 编码 Agent Architectures – Coding
188. prompt_chaining.ipynb.url
188. Prompt Chaining – Coding.en_US.srt
188. Prompt Chaining – Coding.mp4
188. Prompt Chaining – Coding (Description).html
189. Routing – Coding.en_US.srt
189. Routing – Coding.mp4
189. Routing – Coding (Description).html
189. routing.ipynb.url
190. Parallelization – Coding.en_US.srt
190. Parallelization – Coding.mp4
190. Parallelization – Coding (Description).html
190. parallelization.ipynb.url
191. LLM Orchestrators – Coding.en_US.srt
191. LLM Orchestrators – Coding.mp4
191. LLM Orchestrators – Coding (Description).html
191. orchestrator_workers.ipynb.url
192. Agents – Coding.en_US.srt
192. Agents – Coding.mp4
192. Agents – Coding (Description).html
192. agents.ipynb.url
193. mixture_of_experts_aggregator.ipynb.url
193. Mixture of Experts – Aggregator.en_US.srt
193. Mixture of Experts – Aggregator.mp4
193. Mixture of Experts – Aggregator (Description).html
194. Agent Recipes Evaluator-Optimizer.url
194. Evaluator_Optimizer_Pattern.ipynb.bin
194. evaluator_optimizer_pattern.ipynb.url
194. Evaluator Optimizer – Coding.en_US.srt
194. Evaluator Optimizer – Coding.mp4
194. Evaluator Optimizer – Coding (Description).html
195. Additional Agent Architectures – Coding.en_US.srt
195. Additional Agent Architectures – Coding.mp4
195. Additional Agent Architectures – Coding (Description).html
195. Additional Resources.url
19 – Google Veo3 深度探讨 Deep Dive on Google Veo3
196. What is Google Veo3_.pptx
196. What is Google Veo3.en_US.srt
196. What is Google Veo3.mp4
196. What is google veo3.url
196. What is Google Veo3 (Description).html
197. Prompting Google Veo3 in Flow.en_US.srt
197. Prompting Google Veo3 in Flow.mp4
197. Prompting Google Veo3 in Flow (Description).html
197. veo3-prompt.txt
198. JSON Prompting Veo3.en_US.srt
198. JSON Prompting Veo3.mp4
198. JSON Prompting Veo3 (Description).html
198. veo3-json-prompt.txt
199. Multi-Shot Prompting with Veo3.en_US.srt
199. Multi-Shot Prompting with Veo3.mp4
199. Multi-Shot Prompting with Veo3 (Description).html
200. Frames to Video in Google Flow.en_US.srt
200. Frames to Video in Google Flow.mp4
200. Frames to Video in Google Flow (Description).html
201. Ingredients to Video in Google Flow.en_US.srt
201. Ingredients to Video in Google Flow.mp4
201. Ingredients to Video in Google Flow (Description).html
202. 175571883232777164-annotated.png
202. Spatial Prompting with Annotated Frames using Veo3.en_US.srt
202. Spatial Prompting with Annotated Frames using Veo3.mp4
202. Spatial Prompting with Annotated Frames using Veo3 (Description).html
20 – 其他 AI 模型深度探讨 Deep Dive on other AI Models
203. What is Google Gemini_.pdf
203. What is Google Gemini.en_US.srt
203. What is Google Gemini.mp4
203. What is Google Gemini.url
203. What is Google Gemini (Description).html
204. Gemini 2.0 Native Image Generation.en_US.srt
204. Gemini 2.0 Native Image Generation.mp4
204. Gemini 2.0 Native Image Generation (Description).html
204. Google AI Studio.url
205. Gemini Deep Research.url
205. Google Gemini – Deep Research.en_US.srt
205. Google Gemini – Deep Research.mp4
205. Google Gemini – Deep Research (Description).html
206. What is Meta LLaMA_ (1).pdf
206. What is Meta LLaMA.en_US.srt
206. What is Meta LLaMA.mp4
206. What is Meta LLaMA (Description).html
207. Runway ML.en_US.srt
207. Runway ML.mp4
207. Runway ML (Description).html
208. What is Google Vision_.pdf
208. What is Google Vision.en_US.srt
208. What is Google Vision.mp4
208. What is Google Vision (Description).html
209. What is OpenAI Whisper_.pdf
209. What is OpenAI Whisper.en_US.srt
209. What is OpenAI Whisper.mp4
209. What is OpenAI Whisper (Description).html
210. notebook.url
210. Testing Open-Source Models.en_US.srt
210. Testing Open-Source Models.mp4
210. Testing Open-Source Models (Description).html
211. Fal.ai.url
211. flux.ipynb.bin
211. flux.ipynb.url
211. Jordan O'Conners prompt.url
211. What is Flux.en_US.srt
211. What is Flux.mp4
211. What is Flux (Description).html
212. 2309.03409v3_OPRO.pdf
212. 2310.03714v1_DSPy.pdf
212. DSPy Paper Podcast.url
212. Google NotebookLM.en_US.srt
212. Google NotebookLM.mp4
212. Google NotebookLM (Description).html
212. NotebookLM.url
213. groq.ipynb.bin
213. Groq.ipynb.url
213. Groq Cloud.en_US.srt
213. Groq Cloud.mp4
213. Groq Cloud (Description).html
213. Groq Cloud Playground.url
21 – 课程总结 Conclusion
214. Free PDF Prompt Engineering Book (CH01).en_US.srt
214. Free PDF Prompt Engineering Book (CH01).mp4
214. Free PDF Prompt Engineering Book (CH01) (Description).html
214. PEGAI_CH1_excerpt (1).pdf
215. Sources of Inspiration.en_US.srt
215. Sources of Inspiration.mp4
215. Sources of Inspiration.pdf
215. Sources of Inspiration (Description).html
216. Next steps after the course.en_US.srt
216. Next steps after the course.mp4
216. Next steps after the course (Description).html
216. Prompt Engineer Skill Path Vexpower.url
216. Prompt Engineering From Words to Art and Copy.url
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