Home Search Profile

Master LangChainJS: Build AI Apps with JavaScript (2024)

Focused View

4:20:14

  • 1 -Welcome.mp4
    01:02
  • 1 -The LangChainJS Architecture.mp4
    08:41
  • 2 -LangChainJS Components.mp4
    09:03
  • 3 -LangChainJS Runnables.mp4
    09:19
  • 4 -Using the Documentation and API Reference.mp4
    03:36
  • 1 -Getting Your API Key.mp4
    10:44
  • 2 -Setting up Your LangChainJS Project.mp4
    09:59
  • 3 -Your first Prompt Template.mp4
    07:54
  • 1 -Prompt Templates and How they Work.mp4
    04:46
  • 2 -Creating a Basic Prompt.mp4
    10:54
  • 3 -Creating Prompts for Chat Models.mp4
    19:41
  • 4 -Passing Examples to Prompts.mp4
    16:20
  • 5 -Using Images in Prompts Multimodal Prompting.mp4
    16:03
  • 6 -Composing Prompts with PipelinePromptTemplate.mp4
    18:58
  • 1 -Models in LangChainJS.mp4
    04:50
  • 2 -Setting Up Models.mp4
    12:09
  • 3 -Controlling Model Response.mp4
    13:50
  • 4 -Streaming Model Response.mp4
    06:21
  • 5 -Monitoring Token Consumption.mp4
    03:37
  • 1 -Output Parsers in LangChainJS.mp4
    02:46
  • 2 -Parsing String Outputs.mp4
    05:24
  • 3 -Parsing JSON Outputs.mp4
    08:07
  • 1 -Understanding Retrieval Augmented Generation [RAG].mp4
    05:44
  • 2 -RAG Project Setup.mp4
    03:25
  • 3 -Loading Data from a Web Page.mp4
    08:24
  • 4 -Embedding and Storing.mp4
    08:24
  • 5 -Retrieving Context for Prompts.mp4
    04:03
  • 6 -Generating Responses from our own data.mp4
    14:02
  • 7 -Using PDF files for RAG.mp4
    12:08
  • More details


    Course Overview

    This comprehensive course teaches JavaScript developers how to leverage LangChainJS to build powerful AI applications, integrating models like Gemini and GPT, processing images, and working with custom data sources.

    What You'll Learn

    • Design effective prompts to query AI models
    • Integrate with Gemini and GPT models
    • Build conversational AI chat interactions

    Who This Is For

    • Web developers adding AI features to applications
    • Developers transitioning into AI engineering
    • Those wanting to enhance model performance with private data

    Key Benefits

    • Hands-on experience with LangChainJS architecture
    • Learn multimodal prompting with images
    • Master Retrieval Augmented Generation (RAG) techniques

    Curriculum Highlights

    1. LangChainJS fundamentals and components
    2. Prompt engineering and template creation
    3. Working with models and structuring outputs
    Focused display
    • language english
    • Training sessions 29
    • duration 4:20:14
    • Release Date 2025/04/26