Udemy ChatGPT and LangChain The Complete Developer Masterclass 2025

/01. Let's Start - Dive In Here!/

3. How a Typical AI-Enabled App Works.mp4

5. diagrams.zip

4. Here It Is, This is Why We Use LangChain.mp4

2. What is LangChain.mp4

1. How to Get Help.mp4

3. How a Typical AI-Enabled App Works.vtt

4. Here It Is, This is Why We Use LangChain.vtt

2. What is LangChain.vtt

1. How to Get Help.vtt

5. Course Resources.html

6. Join Our Community!.html

/02. ChatGPT and LangChain Integration/

5. Introducing Chains.mp4

11. Chains in Series with SequentialChain.mp4

6. Adding a Chain.mp4

9. Securing the API Key.mp4

10. Connecting Chains Together.mp4

4. Using LangChain the Simple Way.mp4

8. Parsing Command Line Arguments.mp4

2. Project Overview and Setup.mp4

3. 2023-10-10_17-21-39-38edb94e77fb06eab4dc8b27280508a2.png

3. 2023-10-10_17-21-39-54414805bd1f274ecb28eeda51c84824.png

3. 2023-10-10_17-21-39-19c40ad774e30fd1f67c630406288389.png

3. 2023-10-10_17-21-39-8e3d4e20644e87476905b58cc1c5fbb1.png

1. Pipfile.lock

11. 16-chains.zip

10. 15-connecting.zip

9. 14-securing.zip

8. 13-parsing.zip

6. 12-adding.zip

7.1 Adding a Chain.html

5. Introducing Chains.vtt

11. Chains in Series with SequentialChain.vtt

9. Securing the API Key.vtt

6. Adding a Chain.vtt

2. Project Overview and Setup.vtt

10. Connecting Chains Together.vtt

4. Using LangChain the Simple Way.vtt

8. Parsing Command Line Arguments.vtt

1. Important Python and Pipenv Environment Setup Information.html

3. Creating an OpenAI API Key.html

1. Pipfile

/03. Deep Dive into Interactions with Memory Management/

10. Summarizations Conversation Summary Memory.mp4

7. Understanding Memory.mp4

9. Saving and Extending Conversations.mp4

8. Using ChatBufferMemory to Store Conversations.mp4

4. Chat vs Completion Style Models.mp4

6. Implementing a Chat Chain.mp4

5. Representing Messages with ChatPromptTemplates.mp4

2. App Overview.mp4

3. Receiving User Input.mp4

1. Pipfile.lock

9. 25-saving.zip

10. 26-summarizations.zip

8. 24-using.zip

6. 22-implementing.zip

5. 21-representing.zip

3. 19-receiving.zip

11.2 Check Your Understanding Memory.html

4. Chat vs Completion Style Models.vtt

10. Summarizations Conversation Summary Memory.vtt

7. Understanding Memory.vtt

8. Using ChatBufferMemory to Store Conversations.vtt

5. Representing Messages with ChatPromptTemplates.vtt

9. Saving and Extending Conversations.vtt

6. Implementing a Chat Chain.vtt

1. Important Pipenv Environment Setup Information.html

1. Pipfile

/04. Adding Context with Embedding Techniques/

9. Chunking Text.mp4

7. Introducing Embeddings.mp4

5. Loading Files with Document Loaders.mp4

10. Generating Embeddings.mp4

6. Search Criteria.mp4

8. The Entire Embedding Flow.mp4

1. Project Overview.mp4

4. Project Setup.mp4

7. Introducing Embeddings.vtt

9. Chunking Text.vtt

5. Loading Files with Document Loaders.vtt

2. facts.txt

6. Search Criteria.vtt

10. Generating Embeddings.vtt

1. Project Overview.vtt

10. 36-generating.zip

9. 35-chunking.zip

5. 31-loading.zip

8. The Entire Embedding Flow.vtt

4. Project Setup.vtt

3. Important Pipenv Environment Setup Information.html

3. Pipfile

2. Facts File Download.html

/05. Custom Document Retrievers/

4. Optional Understanding Refine, MapReduce, and MapRerank.mp4

6. Creating a Custom Retriever.mp4

7. Custom Retriever in Action.mp4

1. Introducing ChromaDB.mp4

2. Building a Retrieval Chain.mp4

5. Removing Duplicate Documents.mp4

9. Visualizing Embeddings.mp4

3. What is a Retriever.mp4

1. 37-introducing.zip

7. 43-custom.zip

2. 38-building.zip

6. 42-creating.zip

8. scores.ipynb

4. Optional Understanding Refine, MapReduce, and MapRerank.vtt

6. Creating a Custom Retriever.vtt

2. Building a Retrieval Chain.vtt

1. Introducing ChromaDB.vtt

5. Removing Duplicate Documents.vtt

7. Custom Retriever in Action.vtt

3. What is a Retriever.vtt

9. Visualizing Embeddings.vtt

8. Understanding Embeddings Download.html

/06. Empower ChatGPT with Tools and Agents/

20. More Handler Implementaion.mp4

14. Adding Better Descriptions for Tool Arguments.mp4

11. Adding Table Context.mp4

15. Tools with Multiple Arguments.mp4

16. Memory vs Agent Scratchpad.mp4

19. Implementing a Basic Callback Handler.mp4

8. Understanding Agents and AgentExecutors.mp4

4. Understanding ChatGPT Functions.mp4

3. Understanding Tools.mp4

18. Understanding Callbacks.mp4

12. Adding a Table Description Tool.mp4

9. Shortcomings in ChatGPT's Assumptions.mp4

17. Preserving Messages with Agent Executor.mp4

6. Defining a Tool.mp4

10. Recovering from Errors in Tools.mp4

7. Defining an Agent and AgentExecutor.mp4

13. Being Direct with System Messages.mp4

2. App Overview.mp4

5. db.sqlite

20. 65-more-handler.zip

17. 62-preserving.zip

15. 60-tools.zip

14. 59-adding-better.zip

13. 58-being-direct.zip

12. 57-adding-description.zip

11. 56-adding-context.zip

10. 55-recovering.zip

8. 53-understanding.zip

7. 52-defining-agent.zip

6. 51-defining-tool.zip

1. Pipfile.lock

2. 47-app.zip

4. Understanding ChatGPT Functions.vtt

20. More Handler Implementaion.vtt

8. Understanding Agents and AgentExecutors.vtt

11. Adding Table Context.vtt

16. Memory vs Agent Scratchpad.vtt

3. Understanding Tools.vtt

14. Adding Better Descriptions for Tool Arguments.vtt

6. Defining a Tool.vtt

15. Tools with Multiple Arguments.vtt

18. Understanding Callbacks.vtt

7. Defining an Agent and AgentExecutor.vtt

9. Shortcomings in ChatGPT's Assumptions.vtt

19. Implementing a Basic Callback Handler.vtt

10. Recovering from Errors in Tools.vtt

12. Adding a Table Description Tool.vtt

2. App Overview.vtt

13. Being Direct with System Messages.vtt

17. Preserving Messages with Agent Executor.vtt

1. Important Pipenv Environment Setup Information.html

1. Pipfile

5. SQLite Database Download.html

/07. Pinecone as a Vector Database/

5. How This App is Designed.mp4

12. Introducing Pinecone.mp4

15. Adding Documents to the Vector Store.mp4

4. Boilerplate Setup.mp4

7. Loading and Splitting From a PDF.mp4

10. Testing the PDF Upload.mp4

6. Outlining the First Feature.mp4

2. Taking a Look at Mockups.mp4

14. Initializing the Pinecone Client.mp4

9. local-do-files.zip

1. App Overview.mp4

3. pdf.zip

14. 79-initializing.zip

15. 80-adding-documents.zip

8. spice.pdf

11. 2024-09-09_15-16-58-b43ae6e7bab3c43df068d77ef2aef798.png

11. 2024-04-15_23-18-10-81ce790890bce6db0baa3cfb68f908cb.png

5. How This App is Designed.vtt

12. Introducing Pinecone.vtt

14. Initializing the Pinecone Client.vtt

4. Boilerplate Setup.vtt

6. Outlining the First Feature.vtt

15. Adding Documents to the Vector Store.vtt

2. Taking a Look at Mockups.vtt

7. Loading and Splitting From a PDF.vtt

1. App Overview.vtt

10. Testing the PDF Upload.vtt

9. Running File Upload Server Locally.html

3. Boilerplate Download.html

11. Pinecone Dashboard and Serverless Indexes.html

13. Pinecone Client Update.html

8. Sample PDF.html

/08. Distributed Text Generation with Celery/

9. Updating Document Metadata.mp4

2. Introducing Background Jobs.mp4

1. Why is Processing Taking Forever.mp4

7. Adding in the Worker.mp4

8. Queuing Up Jobs.mp4

3. Redis Setup.mp4

9. 89-updating.zip

8. 88-queuing.zip

7. 87-adding-worker.zip

6. 2023-10-10_19-35-34-87f7a57ff49dc3238606f64104221e20.png

6. 2023-10-10_19-35-33-e5cf7e74af42847dddbdc29e7d6d18e2.png

6. 2023-10-10_19-35-34-ed5b36ddcbddb465ed7deff54bf140ab.png

2. Introducing Background Jobs.vtt

9. Updating Document Metadata.vtt

1. Why is Processing Taking Forever.vtt

8. Queuing Up Jobs.vtt

7. Adding in the Worker.vtt

3. Redis Setup.vtt

6. Redis - Windows Setup Without WSL.html

5. Redis - Ubuntu and Windows Subsystem for Linux Setup.html

4. Redis - MacOS Setup.html

/09. Custom Message Histories/

3. Introducing the Conversational Retrieval Chain.mp4

2. Persistent Message Storage.mp4

7. Testing the Chain.mp4

1. Understanding the Apps Requirements.mp4

4. Building the Retriever.mp4

6. Building a Custom SQL History.mp4

5. Custom History Objects.mp4

7. 96-testing.zip

6. 95-building-custom.zip

4. 93-building-retriever.zip

2. Persistent Message Storage.vtt

3. Introducing the Conversational Retrieval Chain.vtt

1. Understanding the Apps Requirements.vtt

6. Building a Custom SQL History.vtt

5. Custom History Objects.vtt

4. Building the Retriever.vtt

7. Testing the Chain.vtt

/10. Streaming Text Generation/

7. Adding a Queue for Communication.mp4

6. Extending a LLM Chain.mp4

3. Experimenting with a Streaming Language Model.mp4

4. Chains Don't Want to Stream.mp4

11. Ending the Loop.mp4

10. It Works!.mp4

5. Receiving Chunks with a Callback.mp4

2. Creating a Working Playground.mp4

8. The Chain Really Wants to Wait.mp4

1. Streaming Text Generation.mp4

9. Solving the Slow Chain.mp4

11. 107-ending.zip

10. 106-it-works.zip

7. 103-adding-queue.zip

5. 101-recieving.zip

6. 102-extending.zip

3. 99-experimenting.zip

2. 98-creating.zip

3. Experimenting with a Streaming Language Model.vtt

6. Extending a LLM Chain.vtt

7. Adding a Queue for Communication.vtt

4. Chains Don't Want to Stream.vtt

2. Creating a Working Playground.vtt

11. Ending the Loop.vtt

5. Receiving Chunks with a Callback.vtt

8. The Chain Really Wants to Wait.vtt

1. Streaming Text Generation.vtt

9. Solving the Slow Chain.vtt

10. It Works!.vtt

/11. Extending LangChain/

7. Streaming Complete!.mp4

4. Testing the Streaming Setup.mp4

3. Integrating the Streaming Code.mp4

5. Here's the Issue.mp4

6. Isolating the Handler.mp4

2. Using a Mixin Approach.mp4

1. Isolating the Queue and Handler.mp4

7. 114-streaming.zip

4. 111-testing.zip

3. 110-integrating.zip

1. 108-isolating.zip

7. Streaming Complete!.vtt

6. Isolating the Handler.vtt

4. Testing the Streaming Setup.vtt

3. Integrating the Streaming Code.vtt

5. Here's the Issue.vtt

2. Using a Mixin Approach.vtt

1. Isolating the Queue and Handler.vtt

/12. Self-Improving Text Generation/

6. Generalizing Component Picking.mp4

12. Calculating the Average Score.mp4

11. Extracting Scores.mp4

5. Randomly Picking a Component.mp4

2. Component Part Flow.mp4

9. Storing Votes in Redis.mp4

10. Weighted Randomness.mp4

8. Redis Connection Setup.mp4

13. Selecting Components By Score.mp4

4. Building Component Maps.mp4

3. Partial KWArg Application.mp4

7. Collecting User Feedback.mp4

1. Random Component Parts.mp4

13. 127-selecting.zip

12. 126-calculating.zip

11. 125-extracting.zip

10. 124-weighted.zip

9. 123-storing.zip

6. 120-generalizing.zip

5. 119-randomly.zip

4. 118-building.zip

3. 117-partial.zip

6. Generalizing Component Picking.vtt

12. Calculating the Average Score.vtt

9. Storing Votes in Redis.vtt

5. Randomly Picking a Component.vtt

8. Redis Connection Setup.vtt

11. Extracting Scores.vtt

3. Partial KWArg Application.vtt

7. Collecting User Feedback.vtt

2. Component Part Flow.vtt

4. Building Component Maps.vtt

1. Random Component Parts.vtt

13. Selecting Components By Score.vtt

10. Weighted Randomness.vtt

/13. Implementing Tracing and Observability/

9. Automatic Trace Creation.mp4

4. Window Memory Implementation.mp4

7. Adding in Tracing.mp4

8. Understanding the Trace.mp4

2. Building the Score Aggregate.mp4

3. Adding Another Form of Memory.mp4

1. Adding Score Observability.mp4

5. Text Generation Tracing.mp4

6. Langfuse Signup.mp4

9. 136-automatic.zip

4. 131-window.zip

2. 129-building.zip

9. Automatic Trace Creation.vtt

7. Adding in Tracing.vtt

8. Understanding the Trace.vtt

5. Text Generation Tracing.vtt

4. Window Memory Implementation.vtt

6. Langfuse Signup.vtt

2. Building the Score Aggregate.vtt

1. Adding Score Observability.vtt

3. Adding Another Form of Memory.vtt

10. Bonus!.html

Total files 339