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Udemy - The Complete Prompt Engineering for AI Bootcamp (2025) (1.2025)

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种子名称: Udemy - The Complete Prompt Engineering for AI Bootcamp (2025) (1.2025)
文件类型: 视频
文件数目: 223个文件
文件大小: 10.29 GB
收录时间: 2025-8-3 15:49
已经下载: 3
资源热度: 25
最近下载: 2025-8-12 21:01

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Udemy - The Complete Prompt Engineering for AI Bootcamp (2025) (1.2025).torrent
  • 01. Introduction/6. Using OpenAI Playground.mp499.99MB
  • 01. Introduction/2. What is Prompt Engineering.mp421.82MB
  • 01. Introduction/1. Introduction to the course.mp410.14MB
  • 01. Introduction/5. ChatGPT AI Prompt Pack - 690 Effective Prompts.mp45.57MB
  • 01. Introduction/4. Optional videos to only do if you know coding.mp41.23MB
  • 02. Five Principles of Prompting/6. Applying The Five Principles + Worksheet & One Pagers.mp486.15MB
  • 02. Five Principles of Prompting/3. Provide Examples.mp444.63MB
  • 02. Five Principles of Prompting/1. Give Direction.mp444.45MB
  • 02. Five Principles of Prompting/4. Evaluate Quality.mp434.97MB
  • 02. Five Principles of Prompting/2. Specify Format.mp415.78MB
  • 02. Five Principles of Prompting/5. Divide Labor.mp412.37MB
  • 03. How Does AI Work/1. What are Tokens.mp435.58MB
  • 03. How Does AI Work/4. Chat Models vs Reasoning Models.mp411.96MB
  • 03. How Does AI Work/2. Log Probabilities.mp48.68MB
  • 03. How Does AI Work/3. AI Hallucinations.mp47.28MB
  • 04. Standard Text Model Practices/14. Progressive Summarization.mp425.26MB
  • 04. Standard Text Model Practices/13. Pre-Warming Chats.mp418.55MB
  • 04. Standard Text Model Practices/11. Ask for Context.mp416.34MB
  • 04. Standard Text Model Practices/10. Role Prompting.mp411.33MB
  • 04. Standard Text Model Practices/1. List Generation.mp410.82MB
  • 04. Standard Text Model Practices/2. Sentiment Analysis.mp49.89MB
  • 04. Standard Text Model Practices/15. Overcoming the Token Limit in ChatGPT.mp47.93MB
  • 04. Standard Text Model Practices/7. Writing Clear Instructions - Delimiters.mp47.29MB
  • 04. Standard Text Model Practices/9. Let's Think Step by Step.mp46.37MB
  • 04. Standard Text Model Practices/3. Explain It Like I'm Five.mp45.54MB
  • 04. Standard Text Model Practices/4. Least to Most.mp43.73MB
  • 04. Standard Text Model Practices/5. Writing Clear Instructions - Detailed Instructions.mp43.71MB
  • 04. Standard Text Model Practices/6. Writing Clear Instructions - Specifying the Steps.mp42.59MB
  • 04. Standard Text Model Practices/12. Question Rewriting.mp42.28MB
  • 04. Standard Text Model Practices/8. Writing Clear Instructions - Specifying Length.mp42MB
  • 05. Advanced Text Model Techniques/9. Vector Databases - Coding.mp4172.56MB
  • 05. Advanced Text Model Techniques/18. Personas of Thought.mp4160.21MB
  • 05. Advanced Text Model Techniques/11. Recursive Re-prompting and Revision - Coding.mp4122.64MB
  • 05. Advanced Text Model Techniques/12. Information Retrieval with Vector Databases - Coding.mp489.34MB
  • 05. Advanced Text Model Techniques/7. Prompt Optimization - Coding.mp484.85MB
  • 05. Advanced Text Model Techniques/4. Automatic Prompt Engineer.mp477.16MB
  • 05. Advanced Text Model Techniques/6. Advanced List Generation - Coding.mp465.64MB
  • 05. Advanced Text Model Techniques/15. Prompt Caching in Practice - Coding.mp460.91MB
  • 05. Advanced Text Model Techniques/8. Overcoming Token Limit - ChatGPT - Managing the Message History - Coding.mp448.9MB
  • 05. Advanced Text Model Techniques/13. Structured Outputs for OpenAI - Coding.mp443.98MB
  • 05. Advanced Text Model Techniques/3. Prompt Injection.mp435.07MB
  • 05. Advanced Text Model Techniques/10. Reason and Act (ReAct) - Coding.mp426.51MB
  • 05. Advanced Text Model Techniques/16. OpenAI Realtime - Example.mp413.82MB
  • 05. Advanced Text Model Techniques/1. Meta Prompting.mp48.82MB
  • 05. Advanced Text Model Techniques/2. Chain of Thought Reasoning.mp46.64MB
  • 05. Advanced Text Model Techniques/14. What is Prompt Caching.mp45.32MB
  • 05. Advanced Text Model Techniques/5. Github Repository for the Course.mp42.52MB
  • 06. Deep Dive on LangChain - Coding/6. Output Parsers - Coding.mp481.41MB
  • 06. Deep Dive on LangChain - Coding/10. Tracing with LangSmith - Coding.mp471.09MB
  • 06. Deep Dive on LangChain - Coding/24. LangChain Agents & Tools - Coding.mp463.99MB
  • 06. Deep Dive on LangChain - Coding/3. Chat Models - Coding.mp463.28MB
  • 06. Deep Dive on LangChain - Coding/22. LangChain Vector Databases + the Indexing API - Coding.mp461.85MB
  • 06. Deep Dive on LangChain - Coding/23. LCEL Configurable Fields - Coding.mp445.6MB
  • 06. Deep Dive on LangChain - Coding/4. Chat Prompt Templates - Coding.mp436.58MB
  • 06. Deep Dive on LangChain - Coding/12. LCEL - The Runnable Protocol - Coding.mp435.8MB
  • 06. Deep Dive on LangChain - Coding/13. LCEL - Chat Models, itemgetter & RAG - Coding.mp429.28MB
  • 06. Deep Dive on LangChain - Coding/7. Summarizing Large Amounts of Text - Coding.mp424.35MB
  • 06. Deep Dive on LangChain - Coding/8. Document Loaders, Text Splitting & Creating LangChain Documents - Coding.mp424.08MB
  • 06. Deep Dive on LangChain - Coding/5. Streaming - Coding.mp422.15MB
  • 06. Deep Dive on LangChain - Coding/16. LCEL - Conditional Logic, Branching & Merging - Coding.mp421.98MB
  • 06. Deep Dive on LangChain - Coding/9. Tagging Documents - Coding.mp421.65MB
  • 06. Deep Dive on LangChain - Coding/14. LCEL - Chat Message History & Memory - Coding.mp419.34MB
  • 06. Deep Dive on LangChain - Coding/11. LangChain Hub - LangSmith - Coding.mp418.31MB
  • 06. Deep Dive on LangChain - Coding/20. LCEL - with OpenAI Functions & JSON mode - Coding.mp411.02MB
  • 06. Deep Dive on LangChain - Coding/1. Prompt Engineering Course - What Is LangChain.mp410.69MB
  • 06. Deep Dive on LangChain - Coding/2. Installation - Coding.mp49.7MB
  • 06. Deep Dive on LangChain - Coding/1. What Is LangChain - Coding.mp47.81MB
  • 06. Deep Dive on LangChain - Coding/15. LCEL - Creating Multiple Chains - Coding.mp45.82MB
  • 06. Deep Dive on LangChain - Coding/17. Using JSON Mode with LangChain - Coding.mp45.56MB
  • 06. Deep Dive on LangChain - Coding/19. LCEL - with JSON Mode - Coding.mp45.18MB
  • 06. Deep Dive on LangChain - Coding/18. Exercise - Using JSON Mode with LangChain - Coding.mp41.06MB
  • 06. Deep Dive on LangChain - Coding/21. Exercise - LCEL - with OpenAI Functions & JSON mode - Coding.mp4987.44KB
  • 07. Deep Dive On LangGraph - Coding/3. Tool Usage and Persistence - Coding.mp4133.52MB
  • 07. Deep Dive On LangGraph - Coding/8. RAG in LangGraph (Self Corrective RAG).mp470.7MB
  • 07. Deep Dive On LangGraph - Coding/6. Customizing State in LangGraph - Coding.mp464.68MB
  • 07. Deep Dive On LangGraph - Coding/7. Time Travel - Coding.mp447.37MB
  • 07. Deep Dive On LangGraph - Coding/5. Manually Updating The State - Coding.mp442.43MB
  • 07. Deep Dive On LangGraph - Coding/2. Simple LangGraph Flows - Coding.mp440.9MB
  • 07. Deep Dive On LangGraph - Coding/4. Human In The Loop - Coding.mp424.53MB
  • 07. Deep Dive On LangGraph - Coding/1. Introduction To LangGraph - Coding.mp420.23MB
  • 07. Deep Dive On LangGraph - Coding/9. Extra Content To Explore In Your Own Time (Advanced BranchingSubgraphs - Coding.mp413.33MB
  • 08. Proven Prompting Techniques/4. In Context Learning.mp499.61MB
  • 08. Proven Prompting Techniques/1. Chain of Thought.mp456.42MB
  • 08. Proven Prompting Techniques/3. Role Prompting.mp445.34MB
  • 08. Proven Prompting Techniques/5. Self-Consistency Sampling.mp440.4MB
  • 08. Proven Prompting Techniques/2. Emotion Prompting.mp437.24MB
  • 09. Prompt Optimization & Evals/5. Prompt Optimization with DSPy - Coding.mp4312.12MB
  • 09. Prompt Optimization & Evals/10. Sammo - Metaprompting.mp4194.77MB
  • 09. Prompt Optimization & Evals/8. 2 Prompt Optimization Advanced - Coding.mp4168.71MB
  • 09. Prompt Optimization & Evals/6. Eval metrics with DSPy - Coding.mp4145.94MB
  • 09. Prompt Optimization & Evals/2. Prompt Testing in GSheets (without code).mp4137.79MB
  • 09. Prompt Optimization & Evals/7. 1 Prompt Optimization 5 Principles of Prompting - Coding.mp4131.95MB
  • 09. Prompt Optimization & Evals/9. Sammo - Introduction.mp4111.71MB
  • 09. Prompt Optimization & Evals/11. Sammo - Testing and Optimization.mp472.08MB
  • 09. Prompt Optimization & Evals/3. LLM & Image Model Performance Advanced Evaluation Strategies - Coding.mp458.8MB
  • 09. Prompt Optimization & Evals/4. Eval for a RAG system.mp437.83MB
  • 09. Prompt Optimization & Evals/1. What are Evals.mp433.72MB
  • 10. AI Text Model Projects/5. Summarizing Text - Coding.mp4398.9MB
  • 10. AI Text Model Projects/4. Thought Leadership Posts.mp4248.36MB
  • 10. AI Text Model Projects/15. Reverse Engineering a Publication - Coding.mp4176.62MB
  • 10. AI Text Model Projects/2. Create an Entire Ebook.mp4137.1MB
  • 10. AI Text Model Projects/12. Fine-Tuning on Writing Style - Coding.mp4117.8MB
  • 10. AI Text Model Projects/18. Claim Detection - Coding.mp4113.57MB
  • 10. AI Text Model Projects/13. Adcopy Writing - Coding.mp468.19MB
  • 10. AI Text Model Projects/17. Qualitative Analysis- Coding.mp463.05MB
  • 10. AI Text Model Projects/11. Transcribing audio from a Youtube Video - Coding.mp456.3MB
  • 10. AI Text Model Projects/16. Building a GPT wrapper with Flask and HTMX - Coding.mp453.38MB
  • 10. AI Text Model Projects/10. Using LangChain + Llama3 Locally with LMStudio - Coding.mp449.37MB
  • 10. AI Text Model Projects/6. Summarizing An Entire Book - Coding.mp448.2MB
  • 10. AI Text Model Projects/14. Social Media Posting - Coding.mp443.26MB
  • 10. AI Text Model Projects/8. AI Blog Post Generation - Coding.mp437.2MB
  • 10. AI Text Model Projects/20. Write a PRD.mp435.14MB
  • 10. AI Text Model Projects/19. Summarize a news story.mp428.66MB
  • 10. AI Text Model Projects/9. Text To Speech using OpenAI - Coding.mp424.45MB
  • 10. AI Text Model Projects/21. OpenAI Realtime - Twilio Example.mp420.17MB
  • 10. AI Text Model Projects/1. Tell me a funny joke.mp417.87MB
  • 10. AI Text Model Projects/7. Review Classification - Coding.mp411.41MB
  • 10. AI Text Model Projects/3. SEO Blog Articles.mp48.72MB
  • 11. Standard Image Model Practices/7. Outpainting.mp443.39MB
  • 11. Standard Image Model Practices/6. Inpainting.mp441.55MB
  • 11. Standard Image Model Practices/5. Prompt Rewriting.mp435.28MB
  • 11. Standard Image Model Practices/8. Realistic Models.mp434.63MB
  • 11. Standard Image Model Practices/9. Consistent Characters.mp425.55MB
  • 11. Standard Image Model Practices/4. Weighted Terms.mp414.16MB
  • 11. Standard Image Model Practices/3. Negative Prompts.mp413.09MB
  • 11. Standard Image Model Practices/1. Style Modifiers.mp410.92MB
  • 11. Standard Image Model Practices/2. Quality Boosters.mp48.3MB
  • 12. Advanced Image Model Techniques/10. Advanced Inpainting - Requires Automatic1111.mp4182.6MB
  • 12. Advanced Image Model Techniques/14. Textual Inversion - Coding.mp4149.62MB
  • 12. Advanced Image Model Techniques/15. Dreambooth - Coding.mp4148.38MB
  • 12. Advanced Image Model Techniques/1. Midjourney Outpainting (Zoom Out Pan).mp4128.77MB
  • 12. Advanced Image Model Techniques/17. Comfy UI.mp4125.21MB
  • 12. Advanced Image Model Techniques/8. AUTOMATIC1111 - Requires Automatic1111.mp4122.48MB
  • 12. Advanced Image Model Techniques/12. ControlNet Inpainting - Requires Automatic1111.mp495.63MB
  • 12. Advanced Image Model Techniques/11. ControlNet - Requires Automatic1111.mp494.36MB
  • 12. Advanced Image Model Techniques/4. Meme Mapping.mp478.4MB
  • 12. Advanced Image Model Techniques/9. XYZ Prompt Grids - Requires Automatic1111.mp471.31MB
  • 12. Advanced Image Model Techniques/2. Midjourney Inpainting (Vary Region).mp454.69MB
  • 12. Advanced Image Model Techniques/16. Migrating to Stable Diffusion XL in AUTOMATIC1111 - Coding.mp454.42MB
  • 12. Advanced Image Model Techniques/13. Segment Anything - Requires Automatic1111.mp442.07MB
  • 12. Advanced Image Model Techniques/7. Prompt Token Analysis.mp434.63MB
  • 12. Advanced Image Model Techniques/6. Prompt Reverse-Engineering.mp430.41MB
  • 12. Advanced Image Model Techniques/5. Permutations Prompts.mp426.61MB
  • 12. Advanced Image Model Techniques/18. Beta - Anthropic Computer Use - Example.mp419MB
  • 12. Advanced Image Model Techniques/3. Meme Unbundling.mp416.54MB
  • 13. AI Image Model Projects/6. Tagging Ad Creative - Coding.mp4107.66MB
  • 13. AI Image Model Projects/1. AI Custom Illustrations.mp4107.66MB
  • 13. AI Image Model Projects/3. AI Stock Photos.mp469.16MB
  • 13. AI Image Model Projects/7. AI Profile Picture - Coding.mp449.83MB
  • 13. AI Image Model Projects/5. Product Placement - Coding.mp445.1MB
  • 13. AI Image Model Projects/2. Making a Brand Logo.mp431.95MB
  • 13. AI Image Model Projects/4. Runway - Creating b-roll footage.mp427.8MB
  • 14. Deep Dive on ChatGPT/14. GPT Store - Building Custom GPTs - Coding.mp462.01MB
  • 14. Deep Dive on ChatGPT/8. ChatGPT - DALL-E 3.mp459.08MB
  • 14. Deep Dive on ChatGPT/10. ChatGPT - GPT-V (Vision).mp443.26MB
  • 14. Deep Dive on ChatGPT/1. What is ChatGPT.mp433.48MB
  • 14. Deep Dive on ChatGPT/2. Prompting ChatGPT.mp433.42MB
  • 14. Deep Dive on ChatGPT/13. ChatGPT - Desktop Application.mp430.76MB
  • 14. Deep Dive on ChatGPT/15. ChatGPT Search.mp426.71MB
  • 14. Deep Dive on ChatGPT/9. ChatGPT+ (Code Execution, DALLE, GPTs & Web Browsing Functionality).mp418.17MB
  • 14. Deep Dive on ChatGPT/12. ChatGPT - Canvas.mp416.54MB
  • 14. Deep Dive on ChatGPT/11. ChatGPT - Interactive Tables.mp411.18MB
  • 14. Deep Dive on ChatGPT/3. ChatGPT Capabilities and Limitations.mp48.1MB
  • 14. Deep Dive on ChatGPT/5. ChatGPT Custom Instructions.mp46.29MB
  • 14. Deep Dive on ChatGPT/7. ChatGPT - Scheduled Tasks.mp43.76MB
  • 14. Deep Dive on ChatGPT/6. ChatGPT - Memory.mp43.12MB
  • 14. Deep Dive on ChatGPT/4. ChatGPT Shortcuts.mp41.1MB
  • 15. Deep Dive on GPT-4/2. Prompting GPT-4.mp421.01MB
  • 15. Deep Dive on GPT-4/3. GPT-4 Capabilities and Limitations.mp410.94MB
  • 15. Deep Dive on GPT-4/1. What is GPT-4.mp48.93MB
  • 16. Deep Dive on Midjourney v6/2. Prompting Midjourney.mp452.06MB
  • 16. Deep Dive on Midjourney v6/3. Midjourney Capabilities and Limitations.mp429.15MB
  • 16. Deep Dive on Midjourney v6/1. What is Midjourney.mp419.86MB
  • 16. Deep Dive on Midjourney v6/1. What is Midjourney_ - Google Slides - 13 March 2023.mp47.53MB
  • 17. Deep Dive on Anthropic Claude/2. Prompting Claude.mp445.67MB
  • 17. Deep Dive on Anthropic Claude/3. Claude Projects.mp441.18MB
  • 17. Deep Dive on Anthropic Claude/4. Anthropic Workbench.mp438.82MB
  • 17. Deep Dive on Anthropic Claude/1. What is Claude.mp47.98MB
  • 18. Deep Dive on Stable Diffusion XL/2. Prompting Stable Diffusion - Coding.mp473.69MB
  • 18. Deep Dive on Stable Diffusion XL/1. What is Stable Diffusion.mp434.13MB
  • 18. Deep Dive on Stable Diffusion XL/3. Stable Diffusion Capabilities and Limitations.mp410.83MB
  • 19. Deep Dive on DALL-E 3/2. Prompting DALL-E 3.mp422.57MB
  • 19. Deep Dive on DALL-E 3/1. What is DALL-E 3.mp49.09MB
  • 19. Deep Dive on DALL-E 3/3. DALL-E 3 Capabilities and Limitations.mp44.93MB
  • 20. Deep Dive on GitHub Copilot - Coding/5. Github Copilot - Editing Features - Coding.mp445.08MB
  • 20. Deep Dive on GitHub Copilot - Coding/2. Installing Copilot - Coding.mp420.74MB
  • 20. Deep Dive on GitHub Copilot - Coding/1. What is GitHub Copilot - Coding.mp416.71MB
  • 20. Deep Dive on GitHub Copilot - Coding/6. Github Copilot Chat + Custom Prompts.mp410.82MB
  • 20. Deep Dive on GitHub Copilot - Coding/3. Prompting GitHub Copilot - Coding.mp49.3MB
  • 20. Deep Dive on GitHub Copilot - Coding/4. GitHub Copilot Capabilities and Limitations - Coding.mp45.44MB
  • 20. Deep Dive on GitHub Copilot - Coding/3. 1_function_naming_comments.py421B
  • 20. Deep Dive on GitHub Copilot - Coding/3. 3_if_statements.py305B
  • 20. Deep Dive on GitHub Copilot - Coding/3. 0_single_line_comments.py284B
  • 21. Multimodal Models/4. Memetic Analysis with GPT-V.mp4168.98MB
  • 21. Multimodal Models/3. Automating UX Landing Page Analysis via GPT-V.mp458.47MB
  • 21. Multimodal Models/1. Vision Prompting Guide.mp448.81MB
  • 21. Multimodal Models/2. Automating Product Descriptions via GPT-V.mp417.69MB
  • 22. Agent Architectures - Coding/5. Agents.mp477.28MB
  • 22. Agent Architectures - Coding/1. Prompt Chaining.mp468.51MB
  • 22. Agent Architectures - Coding/4. LLM Orchestrators.mp454.04MB
  • 22. Agent Architectures - Coding/3. Parallelization.mp441.29MB
  • 22. Agent Architectures - Coding/2. Routing.mp432.55MB
  • 22. Agent Architectures - Coding/6. Mixture of Experts - Aggregator.mp421.68MB
  • 22. Agent Architectures - Coding/7. Additional Agent Architectures.mp416.37MB
  • 23. Deep Dive on other AI Models/6. Testing Open-Source Models.mp498.73MB
  • 23. Deep Dive on other AI Models/7. What is Flux.mp446.57MB
  • 23. Deep Dive on other AI Models/3. Runway ML.mp433.13MB
  • 23. Deep Dive on other AI Models/8. Perplexity Search.mp423.17MB
  • 23. Deep Dive on other AI Models/2. What is Meta LLaMA.mp411.8MB
  • 23. Deep Dive on other AI Models/1. What is Google Gemini.mp48.29MB
  • 23. Deep Dive on other AI Models/4. What is Google Vision.mp47.18MB
  • 23. Deep Dive on other AI Models/5. What is OpenAI Whisper.mp44.28MB
  • 24. AI Tools We've Tried/7. Zapier (no code).mp4122.75MB
  • 24. AI Tools We've Tried/4. PromptFoo.mp493.75MB
  • 24. AI Tools We've Tried/2. Google NotebookLM.mp449.4MB
  • 24. AI Tools We've Tried/5. Instructor.mp449.28MB
  • 24. AI Tools We've Tried/8. Langwatch.mp446.78MB
  • 24. AI Tools We've Tried/6. Groq Cloud.mp433.98MB
  • 24. AI Tools We've Tried/3. PromptLayer.mp418.54MB
  • 24. AI Tools We've Tried/1. Google Gemini - Deep Research.mp414.9MB
  • 25. Conclusion/1. Free PDF Prompt Engineering Book (CH01).mp413.64MB
  • 25. Conclusion/2. Sources of Inspiration.mp412.92MB
  • 25. Conclusion/3. Next steps after the course.mp41.95MB