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种子名称： The Complete Generative AI and Python Programming Bootcamp
文件类型： 视频
文件数目： 223个文件
文件大小： 9.53 GB
收录时间： 2025-11-13 20:31
已经下载： 3次
资源热度： 23
最近下载： 2025-11-16 22:03

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The Complete Generative AI and Python Programming Bootcamp.torrent

01. Getting Started with Python & Generative AI/1. Welcome to the Python Programming & Generative AI Bootcamp.mp441.35MB

02. Setting Up Your Python Environment/1. Types of Python Installations.mp48.95MB

02. Setting Up Your Python Environment/2. How to Run Python Code in Colab (Cloud IDE).mp429.29MB

02. Setting Up Your Python Environment/3. How to Install Python on Windows.mp423.44MB

02. Setting Up Your Python Environment/5. Setting Up PyCharm on Windows.mp421.05MB

02. Setting Up Your Python Environment/7. How to Write and Run Python Code in PyCharm.mp434.86MB

03. Python Basics/1. Python Variables.mp416.47MB

03. Python Basics/2. Naming Conventions (PEP 8).mp458.35MB

03. Python Basics/4. Comments in Python.mp415.13MB

03. Python Basics/6. Python's Built-in Data Types.mp430.69MB

03. Python Basics/7. Dynamic vs. Static Typing.mp430.14MB

03. Python Basics/8. 02_06_numbers_and_math_operators.mp418.92MB

03. Python Basics/8. Numbers and Math Operators.mp416.8MB

03. Python Basics/10. Key Python Operators Comparison, Assignment, and Identity Operators.mp423.53MB

04. Essential Python Data Structures/1. String Basics.mp429.71MB

04. Essential Python Data Structures/2. Getting User Input and Type Conversion.mp422.14MB

04. Essential Python Data Structures/4. Core String Operations Indexing, Slicing, Concatenating.mp431.26MB

04. Essential Python Data Structures/6. Common String Methods - Part 1.mp424.96MB

04. Essential Python Data Structures/7. Common String Methods - Part 2.mp421.57MB

04. Essential Python Data Structures/9. Formatted Strings Using F-strings for Clean Output.mp414.61MB

04. Essential Python Data Structures/10. F-strings with = for Debugging.mp414.69MB

04. Essential Python Data Structures/13. List Basics.mp428.17MB

04. Essential Python Data Structures/14. List Operations Concatenation, Slicing.mp419.1MB

04. Essential Python Data Structures/16. List Operations Iteration.mp424.24MB

04. Essential Python Data Structures/17. Essential List Methods - Part 1.mp425.15MB

04. Essential Python Data Structures/18. Essential List Methods - Part 2.mp413.82MB

04. Essential Python Data Structures/20. List Comprehensions Efficiently Creating and Modifying Lists.mp430.52MB

04. Essential Python Data Structures/23. Tuple Basics.mp422.9MB

04. Essential Python Data Structures/24. Tuple Operations Indexing and Unpacking.mp417.73MB

04. Essential Python Data Structures/26. Set Basics.mp417.94MB

04. Essential Python Data Structures/27. Common Set Operations.mp412.85MB

04. Essential Python Data Structures/29. Dictionary Basics.mp439.39MB

04. Essential Python Data Structures/31. Dictionary Operations Accessing, Updating, .get(), .keys(), and .values().mp432.6MB

04. Essential Python Data Structures/32. Removing Items from a Dictionary.mp412.36MB

04. Essential Python Data Structures/33. Set Operations and Iterating over Dictionaries.mp412.18MB

04. Essential Python Data Structures/34. Dictionary Merge and Update Operators.mp413.87MB

04. Essential Python Data Structures/35. Dictionary Comprehensions.mp427.67MB

04. Essential Python Data Structures/39. See the Bigger Picture.mp412.26MB

05. Program Flow Control and Loops/1. Conditional Statements and Indentation.mp432.53MB

05. Program Flow Control and Loops/3. Boolean Variables.mp425.41MB

05. Program Flow Control and Loops/4. Logical Operators and, or, not.mp434.96MB

05. Program Flow Control and Loops/5. Short-circuit Evaluation.mp413.04MB

05. Program Flow Control and Loops/7. For Loops.mp422.05MB

05. Program Flow Control and Loops/8. Ranges.mp411.45MB

05. Program Flow Control and Loops/10. While Loops.mp413.36MB

05. Program Flow Control and Loops/12. Smart Looping Techniques continue and pass.mp422.26MB

05. Program Flow Control and Loops/13. Smart Looping Techniques break.mp442.07MB

05. Program Flow Control and Loops/16. Debugging Your Code.mp421.15MB

06. Functions and Lambda Expressions/1. Introduction to Functions and Docstrings.mp441.95MB

06. Functions and Lambda Expressions/2. The return Statement.mp415.79MB

06. Functions and Lambda Expressions/4. Function Arguments Positional, Keyword.mp419.32MB

06. Functions and Lambda Expressions/5. Default Arguments.mp418.87MB

06. Functions and Lambda Expressions/6. Positional-Only Parameters in Python.mp417.99MB

06. Functions and Lambda Expressions/7. Variable-Length Arguments args.mp411.03MB

06. Functions and Lambda Expressions/8. Variable-Length Arguments kwargs.mp48.6MB

06. Functions and Lambda Expressions/10. Dict Packing and Unpacking.mp422.79MB

06. Functions and Lambda Expressions/11. Variable Scope and Namespaces.mp421.1MB

06. Functions and Lambda Expressions/12. Global vs Local Scopes and Common Pitfalls.mp415.58MB

06. Functions and Lambda Expressions/14. Lambda Expressions.mp438.99MB

07. Working with Files and Data/1. Reading Text Files in Python.mp416.38MB

07. Working with Files and Data/2. Working With Absolute and Relative File Paths.mp458.19MB

07. Working with Files and Data/3. Reading Files Tell, Seek and Cursors.mp421.66MB

07. Working with Files and Data/4. The with Statement.mp410.98MB

07. Working with Files and Data/5. Reading Files into a List.mp422.78MB

07. Working with Files and Data/7. Writing Text Files in Python.mp448.7MB

07. Working with Files and Data/9. Project File Processing.mp430.61MB

07. Working with Files and Data/11. Reading CSV Files in Python.mp441.97MB

07. Working with Files and Data/12. Project Finding Peak Model Usage.mp448.13MB

07. Working with Files and Data/13. Writing CSV Files in Python.mp419.13MB

07. Working with Files and Data/16. JSON Handling for Structured Data.mp423.19MB

07. Working with Files and Data/17. Parsing JSON from API Responses.mp435.51MB

07. Working with Files and Data/19. Project Making a Request to OpenAI.mp452.29MB

08. Regular Expressions for Text Processing/1. Introduction to Regular Expressions (Regex).mp416.04MB

08. Regular Expressions for Text Processing/2. Using Anchors and Grouping.mp432.66MB

08. Regular Expressions for Text Processing/3. Range Expressions (Character Classes).mp432.56MB

08. Regular Expressions for Text Processing/4. Non-Greedy Matching.mp411.63MB

08. Regular Expressions for Text Processing/5. Substitutions and Data Cleaning with re.sub.mp426.65MB

08. Regular Expressions for Text Processing/6. Processing Files and Splitting Strings.mp422.43MB

09. Errors, Exception Handling, and Debugging/1. Introduction to Exception Handling.mp442.97MB

09. Errors, Exception Handling, and Debugging/2. Mastering Exception Handling Try...Except...Else...Finally.mp431.41MB

09. Errors, Exception Handling, and Debugging/3. Built-in Exceptions and Best Practices.mp467.01MB

09. Errors, Exception Handling, and Debugging/5. Project Check Network Connections.mp452.36MB

10. Object-Oriented Programming (OOP) Essentials/1. Intro to Object-Oriented Programming (OOP).mp424.15MB

10. Object-Oriented Programming (OOP) Essentials/2. OOP Demonstration The Turtle.mp494.93MB

10. Object-Oriented Programming (OOP) Essentials/3. Defining Classes and Objects.mp47.88MB

10. Object-Oriented Programming (OOP) Essentials/4. The __init__ Method.mp423.92MB

10. Object-Oriented Programming (OOP) Essentials/5. The __del__ Method.mp410.87MB

10. Object-Oriented Programming (OOP) Essentials/7. Instance Attributes and Class Attributes.mp422.31MB

10. Object-Oriented Programming (OOP) Essentials/8. Magic Methods.mp467.11MB

10. Object-Oriented Programming (OOP) Essentials/10. Project Creating a Practical Class for GenAI.mp448.05MB

10. Object-Oriented Programming (OOP) Essentials/11. TypedDict - Part 1.mp436.12MB

10. Object-Oriented Programming (OOP) Essentials/12. TypedDict - Part 2.mp415.04MB

11. Important Milestones/1. Important Milestone Congratulations!.mp437.3MB

12. Python Modules/1. Understanding Python Modules.mp419.27MB

12. Python Modules/2. The OS Module.mp462.11MB

12. Python Modules/3. Advanced Import Techniques and Best Practices.mp412.59MB

12. Python Modules/4. Using __name__ == '__main__' for Modular and Reusable Code.mp422.11MB

12. Python Modules/5. Mastering Python Package Management with pip.mp438.24MB

13. Jupyter Notebook, Google Colab and Virtual Environments/1. Setting Up Jupyter Notebook and Virtual Environments with venv.mp4102.53MB

13. Jupyter Notebook, Google Colab and Virtual Environments/2. Using Jupyter Notebook.mp437.4MB

13. Jupyter Notebook, Google Colab and Virtual Environments/3. Using Virtual Environments in PyCharm and VSCode.mp438.88MB

14. Essential Python Libraries for GenAI Requests & Pandas/1. Getting Started with the requests and httpx Libraries in Python.mp431.43MB

14. Essential Python Libraries for GenAI Requests & Pandas/2. Handling HTTP Errors.mp432.94MB

14. Essential Python Libraries for GenAI Requests & Pandas/3. Managing HTTP Authentication and Headers (OpenAI API).mp476.7MB

14. Essential Python Libraries for GenAI Requests & Pandas/4. Setting Up the Environment Jupyter Notebook and Pandas.mp454.12MB

14. Essential Python Libraries for GenAI Requests & Pandas/5. Introduction to Pandas Series and DataFrames.mp419.2MB

14. Essential Python Libraries for GenAI Requests & Pandas/6. Importing and Exporting Data Working with CSV Files.mp438.66MB

14. Essential Python Libraries for GenAI Requests & Pandas/7. Exporting Data to Different Formats Excel, JSON, SQL, YAML.mp457.46MB

14. Essential Python Libraries for GenAI Requests & Pandas/8. Modifying Data Adding and Dropping Columns and Rows.mp416.1MB

14. Essential Python Libraries for GenAI Requests & Pandas/9. Accessing Data Using df.iloc and df.loc.mp418.13MB

14. Essential Python Libraries for GenAI Requests & Pandas/10. Sampling and Previewing Data Using df.sample() and df.head().mp435.02MB

14. Essential Python Libraries for GenAI Requests & Pandas/11. Filtering Data Masks and pandas.Series.between().mp423.86MB

14. Essential Python Libraries for GenAI Requests & Pandas/12. Sorting Data Understanding Pandas Sorting Methods.mp428.15MB

14. Essential Python Libraries for GenAI Requests & Pandas/13. Handling Missing Data.mp421.22MB

14. Essential Python Libraries for GenAI Requests & Pandas/14. Aggregations and Grouping Data.mp419.18MB

14. Essential Python Libraries for GenAI Requests & Pandas/15. Project Analyzing Website Traffic Data.mp415.93MB

14. Essential Python Libraries for GenAI Requests & Pandas/16. Time Series Data Manipulation in Pandas.mp424.7MB

15. Introduction to LLMs, APIs and GenAI Libraries/1. Section Overview.mp437.26MB

15. Introduction to LLMs, APIs and GenAI Libraries/2. Foundations of LLMs and GenAI.mp472.51MB

15. Introduction to LLMs, APIs and GenAI Libraries/3. Tokens, Context Windows and Cost.mp422.58MB

15. Introduction to LLMs, APIs and GenAI Libraries/4. Exploring LLM APIs AI as a Service.mp492.14MB

15. Introduction to LLMs, APIs and GenAI Libraries/5. OpenAI Playground, Google AI Studio, and Anthropic Workbench.mp445.11MB

15. Introduction to LLMs, APIs and GenAI Libraries/6. Challenges and Limitations of LLMs.mp436.67MB

15. Introduction to LLMs, APIs and GenAI Libraries/7. The State of AI Present and Future – The Good and the Bad.mp493.55MB

16. Diving into OpenAI API with Python/1. Authenticating to OpenAI using Python Dotenv.mp491.89MB

16. Diving into OpenAI API with Python/2. Chat Completions Endpoint.mp465.88MB

16. Diving into OpenAI API with Python/3. The Developer Message.mp445.14MB

16. Diving into OpenAI API with Python/4. Streaming API Responses.mp460.69MB

16. Diving into OpenAI API with Python/5. Using Local Base64 Images as Input.mp469.79MB

16. Diving into OpenAI API with Python/6. Using Online Images as Input.mp416.72MB

16. Diving into OpenAI API with Python/7. Chat Completions API Parameters Temperature and Seed.mp470.7MB

16. Diving into OpenAI API with Python/8. Chat Completions API Parameters top_p, max_tokens, frequency penalty.mp4111.56MB

16. Diving into OpenAI API with Python/9. AI That Thinks Diving into OpenAI’s Reasoning Models (o1 and o3).mp468.43MB

16. Diving into OpenAI API with Python/10. Best Practices for Prompting Reasoning Models.mp451.4MB

16. Diving into OpenAI API with Python/11. Transcriptions with Whisper.mp486.62MB

16. Diving into OpenAI API with Python/12. Translations with Whisper.mp431.61MB

16. Diving into OpenAI API with Python/13. Text-to-Speech (TTS) API.mp440.75MB

16. Diving into OpenAI API with Python/14. Generating Original Images Using DALL-E 3.mp4132.59MB

17. Prompt Engineering for GenAI/1. Introduction to Prompt Engineering.mp421.8MB

17. Prompt Engineering for GenAI/2. Tactic #1 Position Instructions Clearly Using Delimiters.mp434.56MB

17. Prompt Engineering for GenAI/3. Tactic #2 Provide Detailed Instructions for Context, Outcome, or Length.mp493.9MB

17. Prompt Engineering for GenAI/4. Tactic #3 Use the RTF (Role-Task-Format) Structure.mp482.21MB

17. Prompt Engineering for GenAI/5. Tactic #4 Apply Few-Shot Prompting.mp4101.86MB

17. Prompt Engineering for GenAI/6. Tactic #5 Specify Steps Required to Complete a Task.mp465.52MB

17. Prompt Engineering for GenAI/7. Tactic #6 Give Models Time to Think.mp426.99MB

17. Prompt Engineering for GenAI/8. Other Tactics and Principles for Better Prompting.mp465.91MB

17. Prompt Engineering for GenAI/9. Avoiding Hallucinations Techniques for Guarding Outputs.mp429.88MB

17. Prompt Engineering for GenAI/10. Summary of Prompt Engineering.mp49.79MB

18. Diving into Google’s Gemini/1. Setting Up the Python SDK and Authenticating for Gemini API.mp486.98MB

18. Diving into Google’s Gemini/2. Generating Text From Text Prompts.mp448.15MB

18. Diving into Google’s Gemini/3. Streaming Gemini Responses.mp432.72MB

18. Diving into Google’s Gemini/4. Generating Text From Images.mp459.93MB

18. Diving into Google’s Gemini/5. Gemini API Generation Parameters Controlling How the Model Generates Responses.mp467.12MB

18. Diving into Google’s Gemini/6. Gemini API Generation Parameters Explained.mp488.54MB

18. Diving into Google’s Gemini/7. Building Chat Conversations.mp486.91MB

18. Diving into Google’s Gemini/8. Project Building a Conversational Agent Using Gemini.mp454.69MB

18. Diving into Google’s Gemini/9. System Instructions.mp442.44MB

18. Diving into Google’s Gemini/10. The File API Prompting with Media Files.mp483.13MB

18. Diving into Google’s Gemini/11. Tokens in Gemini API.mp466.51MB

18. Diving into Google’s Gemini/12. The File API Prompting with Audio.mp443.25MB

19. Diving into LangChain with OpenAI and Gemini/1. LangChain Demo.mp479.62MB

19. Diving into LangChain with OpenAI and Gemini/2. Introduction to LangChain.mp416.11MB

19. Diving into LangChain with OpenAI and Gemini/3. Working with the OpenAI Models.mp478.01MB

19. Diving into LangChain with OpenAI and Gemini/4. Caching LLM Responses.mp421.94MB

19. Diving into LangChain with OpenAI and Gemini/5. LLM Streaming.mp415.98MB

19. Diving into LangChain with OpenAI and Gemini/6. Prompt Templates.mp429.61MB

19. Diving into LangChain with OpenAI and Gemini/7. ChatPrompt Templates.mp451.23MB

19. Diving into LangChain with OpenAI and Gemini/8. Understanding Chains.mp479.71MB

19. Diving into LangChain with OpenAI and Gemini/9. Installing the Python SDK and Authenticating to Gemini.mp422.85MB

19. Diving into LangChain with OpenAI and Gemini/10. Integrating Gemini with LangChain.mp454.69MB

19. Diving into LangChain with OpenAI and Gemini/11. Using a System Prompt and Enabling Streaming.mp459.06MB

19. Diving into LangChain with OpenAI and Gemini/12. Multimodal AI Using Images as Input.mp4110.99MB

19. Diving into LangChain with OpenAI and Gemini/13. LangChain Tools DuckDuckGo and Wikipedia.mp4118.88MB

19. Diving into LangChain with OpenAI and Gemini/14. Creating a ReAct Agent.mp4114.33MB

19. Diving into LangChain with OpenAI and Gemini/15. Testing the ReAct Agent.mp467.74MB

20. Diving into Embeddings/1. Intro to OpenAI's Text Embeddings.mp428.35MB

20. Diving into Embeddings/2. Generating Simple Embeddings.mp451.84MB

20. Diving into Embeddings/3. Embedding the Dataset for Similarity Searches.mp452.03MB

20. Diving into Embeddings/4. Estimating Embedding Costs With Tiktoken.mp421.29MB

20. Diving into Embeddings/5. Performing Semantic Searches.mp428.44MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/1. Project Introduction.mp451.17MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/2. Loading Your Custom (Private) PDF Documents.mp453.49MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/3. Loading Different Document Formats.mp456.22MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/4. Public and Private Service Loaders.mp454.14MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/5. Chunking Strategies and Splitting the Documents.mp460.05MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/6. Intro to Vector Stores and Authenticating to Pinecone.mp473.87MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/7. Working with Pinecone Indexes.mp450.81MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/8. Working with Vectors.mp461.95MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/9. Pinecone Namespaces.mp432MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/10. Embedding and Uploading to a Vector Database (Pinecone).mp4109.67MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/11. Asking and Getting Answers.mp4108.67MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/12. Using Chroma as a Vector DB.mp488.54MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/13. Adding Memory to the RAG System (Chat History).mp489.59MB

21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/14. Using a Custom Prompt.mp489.77MB

22. Diving into LangGraph/1. LangGraph Concepts and Core Components.mp431.72MB

22. Diving into LangGraph/2. Building a ChatBot.mp438.27MB

22. Diving into LangGraph/3. Visualizing the Graph.mp48.62MB

22. Diving into LangGraph/4. Running the ChatBot.mp47.97MB

22. Diving into LangGraph/5. Tavily AI.mp4101.37MB

22. Diving into LangGraph/6. Enhancing the ChatBot with Tools.mp497.9MB

22. Diving into LangGraph/7. Adding Memory to the ChatBot.mp484.43MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/1. Quick Note.mp425.06MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/2. The Big Picture.mp442.27MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/3. Extracting Data from ArXiv with Pandas.mp4150.37MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/4. Downloading Research Papers.mp453.28MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/5. Prepping Data Loading, Splitting, and Expanding.mp494.46MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/6. Building a Knowledge Base with RAG and Embeddings.mp454.65MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/7. Creating a Pinecone Index.mp476.9MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/8. Loading the Knowledge Base and Deploying to Pinecone.mp445.84MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/9. Building Custom Tools.mp412.83MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/10. Implementing the ArXiv Fetch Tool.mp481.48MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/11. Unlocking Web Search with Google SerpAPI.mp434.19MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/12. Building Google SerpAPI Tools.mp431.55MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/13. Crafting RAG Tools.mp449.37MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/14. Implementing the Final Answer Generation Tool.mp418.33MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/15. Initializing the Oracle LLM.mp474.18MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/16. Testing the Ecosystem.mp438.87MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/17. Building a Decision-Making Pipeline.mp490.13MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/18. Defining the Agent State.mp413.02MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/19. Defining the Graph for Decision-Making.mp460.31MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/20. Generating Reports.mp494.79MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/21. Building the Final Research Report.mp467.03MB

23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/22. Wrapping Up.mp499.18MB