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LangChain & LLMs – Build Autonomous AI Tools Masterclass

سرفصل های دوره

Mastering AI Development: Hands-On Projects & Deep Insights with Python, LangChain & OpenAI's Advanced LLMs


1. Introduction
  • 1. Welcome
  • 2. Introduction & Course Pre-requisites
  • 3. What Youll Build in this Course - Demo
  • 4. Connect with Me

  • 2. Download Course Resources
  • 1.1 langchain-course-code.zip
  • 1. Download Code.html

  • 3. Development Environment Setup
  • 1. Setup OpenAI API - API Key
  • 2. Install Python - Full Instructions
  • 3. Setup VS Code and Python Extensions

  • 4. LangChain and LLMs - Deep Dive
  • 1. Whats an LLM
  • 2. LangChain Deep Dive - How it Works and Benefits
  • 3. Setup Python Environment VS Code
  • 4. LangChain Building Blocks - Components - Chains - Agents
  • 5. LangChain Language Model Types
  • 6. LangChain Language Model Types

  • 5. Checkpoint
  • 1. Checkpoint - How are Things

  • 6. LangChain Prompts Template
  • 1. LangChain Prompt Template - Introduction and Motivation
  • 2. Prompt Templates - Hands-on

  • 7. LangChain Parsers
  • 1. Parsers - Introduction
  • 2. Output Parsers - Hands-on
  • 3. Pydantic Output Parser - Introduction
  • 4. Pydantic Parser
  • 5. LangChain Building Blocks Summary

  • 8. LangChain Memory and Chains
  • 1. LangChain Memory - Introduction
  • 2. Memory Hands-On - ConversationBufferMemory
  • 3. LangChain Chains - Introduction
  • 4. LLMChain Hands-on
  • 5. LLMChain Input Variables - Hands-on
  • 6. Sequential Chain Hands-on
  • 7. Streamlit Application - Lullaby Generator - Demo
  • 8. Lullaby Application with Streamlit - Hands-on

  • 9. LangChain Routers, Document Loading and Document Splitting
  • 1. Router Chains - Introduction and Hands-on - Part 1
  • 2. Router Chains - Hands-on - Part 2
  • 3. LangChain Document Loading - Loading a PDF File
  • 4. Document Splitting - An Overview
  • 5. CharacterTextSplitter - Hands-on
  • 6. RecursiveCharacterTextSplitter - Hands-on

  • 10. LangChain Embeddings and Vectorstores
  • 1. Vectorstore & Embeddings - Full Overview
  • 2. Embeddings and Semantic Similarity Test - Hands-on
  • 3. Saving Embeddings to Chroma DB & Similarity Search
  • 4. LangChain Retrievers

  • 11. LangChain Agents - Deep Dive
  • 1. Agents - Introduction
  • 2. Agents - Motivation & Creating a Tool for an Agent
  • 3. Built-in Math Tool & Testing an Agent
  • 4. Adding a General Knowledge Tool for Our Agent
  • 5. Agents Types
  • 6. Looking Into the Agents Prompt Template
  • 7. Conversational Agent and Memory - Hands-on
  • 8. LangChain Docstore Agent
  • 9. Self-Ask-with-Search Agent
  • 10. What Weve Learned So Far - Recap

  • 12. [REAL-WORLD] App - PDF Extractor
  • 1. Bill Extractor - Project Introduction and Functions Setpu
  • 2. Front-end Setup and Testing

  • 13. [REAL-WORLD] App - Newsletter Generator
  • 1. Newsletter Generator Demo
  • 2. Setup the Search Function with Serper API Key and Testing
  • 3. Picking the Best Articles Function and Testing
  • 4. Article Summary
  • 5. Fixing a Python Libmagic Bug
  • 6. Generating the Newsletter
  • 7. Creating the Frontend with Streamlit - Final Result

  • 14. [REAL-WORLD] App - Multi-document Chatbot
  • 1. Document Chatbot - Resume Analyzer Bot
  • 2. Document Chatbot with LangChain QAChain
  • 3. Multi-Document Chatbot with Streamlit - Full Chatbot

  • 15. [REAL-WORLD] App - Image to Text
  • 1. Image to Recipe App - Demo
  • 2. Setup HuggingFace Token & Generating Text from an Image
  • 3. Text to Speech
  • 4. Generating Recipes from Image - Image Captioning
  • 5. Adding a Frontend with Streamlit - Text to Recipe Application - Final Result

  • 16. Next Steps
  • 1. Next Steps
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