Master Generative Ai - Build Ai Apps - Beginner Friendly

Discover how to leverage platforms such as Hugging Face and OpenAI for real-world Generative AI projects, from creative

What you'll learn

Helps you harness the power of Generative AI to create innovative applications that boost creativity and streamline processes.

By the end of the course, you will be proficient in building real-world applications using Generative AI technologies

Explore cutting-edge concepts that can be applied to your Generative AI projects

Master the foundations and advanced strategies of Generative AI, equipping you to deliver high-impact, AI-powered applications

Requirements

A little programming / coding knowledge is required

Curiosity to learn AI field

Description

Unlock the Power of Generative AI: Master the Art of Building Revolutionary AI ApplicationsReady to tap into the full potential of Generative AI and reshape the landscape of AI-powered applications? This course is designed to take you from beginner to expert, empowering you with the skills to build innovative AI apps using cutting-edge tools like Hugging Face, LLAMA 2, OpenAI, and Google Gemini Pro.Generative AI Apps and LLM Projects!Engage in hands-on projects that will transform your expertise, including:Project 1: Develop a dynamic question-answering application using the unparalleled capabilities of Generative AI with Hugging Face Spaces, Google Gemini Pro, and OpenAI.Project 2: Build an interactive conversational bot using LangChain and OpenAI, creating personalized and engaging user experiences.Project 3: Create an AI-powered educational app tailored for children, facilitating the discovery of related objects to spark learning and creativity.Project 4: Design a marketing campaign app that leverages AI to craft persuasive sales copy, boosting brand visibility and sales.Project 5: Construct a ChatGPT clone with an advanced summarization feature, offering a versatile and engaging chatbot experience.Course Highlights:Master the power of Generative AI, including cutting-edge technologies like Google Gemini Pro, Hugging Face, and OpenAI.Create scalable AI apps by leveraging LLMs, LangChain, and cognitive data sources.Build modern AI applications with front-ends using Streamlit, all while learning Python and its application in Generative AI.Unlock the limitless potential in your AI projects with real-world applications and hands-on experience that will set you up for success in this rapidly growing field.

Overview

Section 1: Introduction

Lecture 1 Generative AI Introduction

Lecture 2 What is LangChain?

Lecture 3 Let's understand the LangChain benefits

Lecture 4 Guidelines For Source Code

Section 2: HuggingFace Introduction

Lecture 5 HuggingFace Intro & Access Token Generation

Section 3: OpenAI Introduction

Lecture 6 What is OpenAI?

Lecture 7 OpenAI API Key Generation

Section 4: Demo & Working Environment Setup

Lecture 8 Project - Implementation Demo

Lecture 9 Anaconda Installation

Section 5: Langchain - Models Module Concept

Lecture 10 LangChain's Modules Overview

Section 6: Project #1 - Simple Question & Answer App

Lecture 11 LLMs Walkthrough

Lecture 12 LLM Practical Implementation using Python

Lecture 13 Project Environment Setup

Lecture 14 Lets' Build Simple Question Answering Application

Section 7: Project #2 - Simple Conversational App

Lecture 15 Chat Model Walkthrough

Lecture 16 Chat Model Practical Implementation using Python

Lecture 17 Let's Build Simple Conversational Application

Section 8: Project #3 - Find Similar Things App For Kids

Lecture 18 Text Embedding Walkthrough

Lecture 19 Text Embeddings Practical Implementation using Python

Lecture 20 Embeddings Example using Python

Lecture 21 Let's build Similar Words Finder Application

Section 9: Langchain - Prompt Module Concept & Implementation Using Python

Lecture 22 Prompts Module Introduction

Lecture 23 Prompt Template Walkthrough

Lecture 24 Example Selectors Walkthrough

Lecture 25 Adding More Examples To Input Prompt

Lecture 26 Output Parsers Walkthrough

Section 10: Project #4 - Marketing Campaign App

Lecture 27 Convert Jupyter Notebook to Python Script

Lecture 28 Building the App's frontend

Lecture 29 Integration of Frontend & Backend

Lecture 30 Modularization of Code

Lecture 31 Project Source Code

Section 11: Langchain - Memory Module Concept

Lecture 32 Importance of Memory in LLM powered Apps

Lecture 33 Different Types of Memory

Lecture 34 Source Code

Section 12: Project #5 - ChatGPT Clone with Summarization Option

Lecture 35 ChatGPT Clone Demo

Lecture 36 Setting up the Project

Lecture 37 Implementing the Frontend

Lecture 38 Modularizing the Code

Lecture 39 Passing Dynamic Data

Lecture 40 Implementing Chatbot Conversational View

Lecture 41 Conversation Summarization & API key feature

Lecture 42 Source Code

Anyone who is excited to build AI powered LLM apps using Generative AI tools