Building Generative Ai Projects With Llm, Langchain, Gan

Building Generative Ai Projects With Llm, Langchain, Gan
Last updated 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Learn how to build generative AI apps using large language models, langchain, and generative adversarial networks

What you’ll learn

Learn the basic fundamentals of large language model and generative adversarial network, such as getting to know their use cases and understanding how they work

Learn how to build legal document analyzer using LLM

Learn how to analyze Excel data using LLM

Learn how to build AI short story generator using LLM

Learn how to build AI code generator using LLM

Learn how to build customer support chatbot using LLM

Learn how to build report summarizer using LLM

Learn how to build AI travel planner using Langchain

Learn how to build AI math solver using Langchain

Learn how to build AI random face generator using ProGAN

Learn how to build generator and discriminator functions

Learn how to train and fine tune GAN model

Learn how to create user interface using Streamlit and deploy app to Hugging Face Space

Learn how to build LLM based apps using Dify AI and Relevance AI

Learn how to find AI models in Hugging Face and download dataset from Kaggle

Requirements

No previous experience in LLM is required

Basic knowledge in Python

Description

Overview

Section 1: Introduction to the Course

Lecture 1 Introduction

Lecture 2 Table of Contents

Lecture 3 Whom This Course is Intended for?

Section 2: Tools, IDE, and Datasets

Lecture 4 Tools, IDE, and Datasets

Section 3: Introduction to LLM & GAN

Lecture 5 Introduction to LLM & GAN

Section 4: Finding & Downloading Datasets From Kaggle

Lecture 6 Finding & Downloading Datasets From Kaggle

Section 5: Finding AI Models in Hugging Face

Lecture 7 Finding AI Models in Hugging Face

Section 6: Building Legal Document Analyzer with LLM

Lecture 8 Building Legal Document Analyzer with LLM

Section 7: Analyzing Excel Data with LLM

Lecture 9 Analyzing Excel Data with LLM

Section 8: Building AI Short Story Generator with LLM

Lecture 10 Building AI Short Story Generator with LLM

Section 9: Building AI Code Generator with LLM

Lecture 11 Building AI Code Generator with LLM

Section 10: Building Customer Support Chatbot with LLM

Lecture 12 Building Customer Support Chatbot with LLM

Section 11: Building Report Summarizer with LLM

Lecture 13 Building Report Summarizer with LLM

Section 12: Building AI Travel Planner with Langchain

Lecture 14 Building AI Travel Planner with Langchain

Section 13: Building AI Math Solver with Langchain

Lecture 15 Building AI Math Solver with Langchain

Section 14: Building AI Random Face Generator with ProGAN

Lecture 16 Building AI Random Face Generator with ProGAN

Section 15: Building Deep Convolutional GAN Model From Scratch

Lecture 17 Building Generator & Discriminator Functions

Lecture 18 Training Deep Convolutional GAN Model

Section 16: Creating User Interface with Streamlit & Deploying App on Hugging Face Space

Lecture 20 Creating User Interface with Streamlit & Deploying App on Hugging Face Space

Section 17: Building LLM Based Apps with Dify AI & Relevance AI

Lecture 21 Building LLM Based Apps with Dify AI & Relevance AI

Section 18: Conclusion & Summary

Lecture 22 Conclusion & Summary

AI Engineers who are interested in building generative AI apps using LLMs and Langchain,Data scientists who are interested in performing data augmentation using GANs