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Master LangChain & RAG for JavaScript: AI Apps Pro 2024

Focused View

3:13:22

  • 1 -Welcome.mp4
    02:42
  • 2 -Course Structure.mp4
    03:24
  • 2 -discord community for genai javascript developers.zip
  • 2 -youtube channel.zip
  • 3 -Introduction to Generative AI.mp4
    06:07
  • 1 -Installing Nodejs.mp4
    02:43
  • 2 -Project Setup.mp4
    03:22
  • 2 -github repository.zip
  • 3 -Create API Key.mp4
    03:17
  • 3 -openai login.zip
  • 4 -Your First Generative AI Program.mp4
    03:29
  • 1 -About this section.mp4
    00:54
  • 1 -discord channel.zip
  • 2 -Introduction to Langchain.mp4
    04:13
  • 2 -langchain js documentation.zip
  • 3 -Prompt Template.mp4
    03:42
  • 4 -LLM and Output parsers.mp4
    02:46
  • 5 -Langchain Framework.mp4
    04:07
  • 6 -LLM Chain - Legacy.mp4
    03:55
  • 7 -LLM Chain - LCEL.mp4
    06:48
  • 8 -LLM Parameters - temperature, Top p, Top k.mp4
    08:53
  • 9 -LLM Parameters - continue.mp4
    10:25
  • 10 -LLM models.mp4
    02:40
  • 11 -Logging and Debugging Langchain Apps.mp4
    07:01
  • 1 -About this section.mp4
    01:25
  • 2 -AWS Bedrock.mp4
    12:41
  • 3 -Anthropic.mp4
    09:39
  • 1 -About this section.mp4
    01:14
  • 2 -What is RAG.mp4
    04:12
  • 3 -Vector Embeddings.mp4
    11:17
  • 4 -RAG Architecture.mp4
    03:06
  • 5 -Building RAG - load documents.mp4
    06:54
  • 6 -Building RAG - chunking.mp4
    12:00
  • 7 -Building RAG - vectorization.mp4
    07:26
  • 8 -Building RAG - retrieval.mp4
    05:00
  • 9 -Building RAG - augmentation.mp4
    03:39
  • 10 -Building RAG - LLM and output parser.mp4
    02:36
  • 11 -Building RAG - Chain.mp4
    04:56
  • 12 -Building RAG - Execute.mp4
    07:46
  • 1 -About this section.mp4
    00:56
  • 2 -Why chat history.mp4
    01:45
  • 3 -Chat history - concept.mp4
    04:16
  • 4 -Chat history - coding.mp4
    11:08
  • 1 -Congratulations on completion.mp4
    00:58
  • 1 -youtube channel.zip
  • More details


    Course Overview

    This hands-on course teaches JavaScript developers to build cutting-edge Generative AI applications using LangChain and RAG, with practical projects from chatbots to document analysis.

    What You'll Learn

    • Build LLM-powered apps with JavaScript/Typescript
    • Implement RAG systems with private data
    • Work with multiple LLM providers and LangChain components

    Who This Is For

    • JavaScript developers entering AI space
    • Software architects designing AI solutions
    • Engineers building production-ready AI apps

    Key Benefits

    • No ML background required
    • Latest LangChain JavaScript implementations
    • Real-world projects with vector databases

    Curriculum Highlights

    1. LangChain Fundamentals & LLM Chains
    2. RAG Architecture & Implementation
    3. Production Deployment & Optimization
    Focused display
    • language english
    • Training sessions 38
    • duration 3:13:22
    • Release Date 2025/04/26