Langchain & LLMs – Real World AI Projects and Apps in Python

سرفصل های دوره

Build Real world projects in LangChain and LLM AI to get a job as AI Engineer and drive business value

1 - Introduction

1 - Introduction Setup and Quickstart to LangChain

2 - Cloning Repository

3 - Pip install libraries

4 - API Keys Needed

5 - Quick Intro to LangChain

2 - Customer Support Bot Drive Revenue and Customer Retention with LangChain LLM

6 - Customer Support Bot Demo

7 - Customer Support Bot Understanding Realworld Business Value

8 - Coding the Foundation Building Blocks for Your Customer Support Bot

9 - Overview Foundational Building Blocks

10 - Frontend Development with Jupyter IPywidgets

11 - Frontend Development with Jupyter IPywidgets Part 2

12 - Frontend Development with Jupyter IPywidgets Part 3

13 - Deploying Customer Support Bot on Heroku App

3 - ProfitBoosting Insights Automated Business Analytics Dashboard with LLM

14 - Automated Analytics Dashboard LangChain Demo

15 - Automated Analytics Using LLM Understanding Realworld Business Potential

16 - Core Problem What most gets wrong about LLM analytics integration

17 - Solved Fully automated analytics solution using LLM

18 - Frontend development with Streamlit Visual Charts

19 - Decoding Chart Complexity Analyzing LLMs Limits in Code Generation

20 - LangChain as Solution to LLMs Limits

21 - Next Problem Limits of LLM AI Technology in Visual Chart Generation

22 - Seamless Integration LangChain with Streamlit

23 - LangChain with Streamlit Part2

24 - Adding Automated Actionable Insights Text to Analytics Automation

4 - AI Finance Assistant RealTime Financial Insights with LangChain

25 - AI Finance Assistant Demo

26 - Overview Foundations of Building Your AI Finance Chatbot

27 - Harnessing External Docs Powering Your AI Finance Chatbot with Youtube

28 - Expanding External Docs Integrating Google Search into Finance Chatbot

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تولید کننده: Udemy