Generative AI Full Course 2024 - From Basics to Advanced Applications

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Grab it

Embark on a comprehensive journey through Generative AI with this extensive 7-hour 40-minute tutorial. Gain a thorough understanding of Generative AI fundamentals, including its workings, advantages, and ethical considerations. Explore Large Language Models like GPT and master prompting techniques to create your own LLM app for Android. Discover popular AI tools such as ChatGPT, GitHub Copilot, Claude, and Gemini. Delve into advanced concepts like Langchain and Retrieval-Augmented Generation (RAG). Through hands-on demonstrations and case studies, develop the skills to build sophisticated AI applications. Cover a wide range of topics, from basic prompt engineering to creating Flask-based ChatGPT and text-to-image apps. Learn about the limitations of LLMs and how to overcome them using RAG. By the end of this tutorial, you'll be equipped with the knowledge and practical experience to shape the future of AI-driven communication and build advanced generative AI applications.

Syllabus

Introduction
Introduction to Generative AI
Advantages of Generative AI
The Future of Generative AI
Ethical Considerations in Generative AI
Introduction and Phases to LLMs
Introduction to OpenAPI GPT API
Claude 3.5 Sonnet
Claude Artifacts
Demo on Claude Artifacts
Use cases of Claude
Demo on Claude Sonnet
GPT 4o Mini and uses
Why GPT 4o Mini
Features of GPT 4o Mini
Difference between GPT 4o and GPT 4o Mini
Demo on Playground tab, Dashboard tab, Docs tab and API References tab
Prompting on Playground and Billing Settings
Version of Google Gemini
General Prompt Demo Google AI Studio
Structured Prompt in Google AI Studio
Model Tuning in Google AI Studio using System Sample
Other data import options in Google AI Studio using System Sample
Abstract of the Email Generator App
Software Requirements for App
Implementation of the App
Executing the App
Generative AI Popular Tools
ChatGPT
Github Copilot
Claude
Gemini
Basics of Prompt Engineering
Basics of ChatGPT
Demonstration of Prompt on ChatGPT
Python App using ChatGPT 4o
Using ChatGPT 4o for Statistical Analysis
Demonstration of Prompt using ChatGPT 4-o
Portfolio website code execution
Introduction to Github and Github Copilot
Hands-on session on Github Copilot
Introduction of Claude
Prompt Engineering and Install Claude
Hands-on Claude
Program for tic-toe game using Claude
Claude 2 API
Integration of Python and Gemini 1.5 pro
Chatbot using Gemini 1.5 pro
Generative AI Applications
Flask ChatGPT App
Flask Text-to-Image App
Demo - Flask Text-to-Image App
Introduction to Langchain
Why LangChain?
Development Environment Setup of LangChain
Demo on Library Installation
LangChain Core Concepts
LangChain Components
LangChain Case Study
Limitations of LLMs
Introduction to RAG
RAG Basics Concepts and Terminology
Key Components of RAG - Retrieval and Generation
Workflow and Applications of RAG
Hallucinations in RAG
Steps to implement RAG with LangChain
Hands-on RAG in detail