Ai 4 Everyone: Dive Into Modern Ai With Llama 3.1 And Gemini

Master AI-Powered Apps with Llama 3.1 and Gemini: Automate tasks, build LLM apps, and explore practical AI solutions.

What you'll learn

How to automate tasks using AI: From writing emails to summarizing YouTube videos and creating images, all without coding

Building AI-powered applications: Using Python and Streamlit to create apps like a recipe generator, AI meal planner, and YouTube video-to-blog converter.

Working with documents and databases: Learn how to chat with and extract information from PDFs, SQL databases, and multilingual invoices using AI.

LangChain agents: How to use agents for interacting with CSV and JSON files for advanced Q&A capabilities.

Prompt Engineering: Learn techniques to effectively communicate with AI models like Llama 3.1 and Gemini for various tasks.

Building advanced AI-powered applications such as a PDF sorter, text-to-SQL LLM app for querying SQL databases, and a multi-language invoice extractor

Requirements

Basic experience with Python programming

Curiosity to explore the field of AI

Description

Welcome to "AI 4 Everyone: Dive into Modern AI with Llama 3.1 and Gemini"—a comprehensive course designed for anyone looking to unlock the power of AI, whether you are a non-technical professional, or an aspiring AI developer.In this course, you’ll learn how to automate tasks, create powerful applications, and interact with AI models without needing extensive coding knowledge. Even if you’re a beginner, this course will guide you through building practical AI tools that simplify your day-to-day work.What You Will Learn:Automating Tasks with AI: Learn how to write professional emails, summarize YouTube videos, create stunning images, and explain complex graphs—all without writing a single line of code.Developing AI-Powered Applications: Using Python and Streamlit, you’ll create real-world applications like:A Recipe Generator that creates recipes based on your requests.An AI Meal Planner that organizes your meals based on nutritional needs.A YouTube Video to Blog Converter that transforms videos into blog posts.A PDF Sorter to efficiently organize and categorize documents.Document & Database Interactions: Discover how to chat with and extract information from documents, including:Text-to-SQL LLM Applications that query SQL databases.Multi-language Invoice Extractor that extracts text from invoices in various languages.PDF Q&A and sorting: Interact with your PDF files and manage them without the need for training or fine-tuning Large Language Models.LangChain Agents for CSV & JSON: Learn advanced AI techniques, like using LangChain agents to interact with CSV and JSON files for Q&A purposes.Prompt Engineering: Learn how to effectively communicate with AI models like Llama 3.1 and Gemini by learning prompt engineering techniques that give precise outputs for a variety of tasks.

Overview

Section 1: Introduction to the Course

Lecture 1 Introduction to the Course

Section 2: Key Concepts Overview

Lecture 2 Training Data - Tokens - Temperature - Guidance Scale - Embeddings - Memory

Section 3: Prompt Engineering: How to Communicate Effectively with AI

Lecture 3 Prompt Engineering: How to Effectively Talk to an AI

Section 4: Use No-Code AI Online Tools to Automate Daily Tasks and Seek Guidance

Lecture 4 Maximize Productivity with Online AI Tools: Assistance, Guidance, and Automation

Lecture 5 Write a Sick Leave Using AI

Lecture 6 How to Summarize a YouTube Video with AI

Lecture 7 AI-Powered Image Generation: How to Do It Instantly

Lecture 8 How to Use AI to Analyze and Explain a Graph

Section 5: Graphical User Interface (GUI) Introduction

Lecture 9 GUI Introduction

Section 6: Streamlit Elements

Lecture 10 How to Use Basic Streamlit Elements

Section 7: Build a Simple Large Language Model (LLM) Application with LangChain

Lecture 11 LLM Application to translate text from English into Another Language

Lecture 12 Deploy LLM Application with LangServe as a REST API

Section 8: Build a Retrieval Augmented Generation (RAG) Application

Lecture 13 Build a Retrieval Augmented Generation (RAG) Application

Section 9: Conversational Retrieval Augmented Generation (RAG)

Lecture 14 Conversational Retrieval Augmented Generation (RAG)

Section 10: Chat with JSON Files using LangChain Agent & Llama 3.1 Model

Lecture 15 Chat with JSON Files using LangChain Agent & Llama 3.1 Model

Section 11: Chat with Multiple Documents using LangChain, Llama 3.1 and Chroma

Lecture 16 Chat with Multiple Documents using LangChain, Llama 3.1 and Chroma

Section 12: Chat with a CSV File using LangChain Agent and Llama 3.1 Model | Streamlit App

Lecture 17 Chat with a CSV File using LangChain Agent and Llama 3.1 Model | Streamlit App

Section 13: Multi-Language Invoice Extractor using Google Gemini Model

Lecture 18 Multi-Language Invoice Extractor using Google Gemini Model

Section 14: Text to SQL LLM App Along with Querying SQL Database using Google Gemini Model

Lecture 19 Text to SQL LLM App Along with Querying SQL Database using Google Gemini Model

Section 15: Create Your Own Recipes with AI: Streamlit Recipe Generator Tutorial

Lecture 20 Create Your Own Recipes with AI: Streamlit Recipe Generator Tutorial

Section 16: Build an AI Meal Planner with Streamlit: Customize Your Diet Plan

Lecture 21 Build an AI Meal Planner with Streamlit: Customize Your Diet Plan

Section 17: Organize PDFs Efficiently: Build a Streamlit PDF Sorter Application

Lecture 22 Organize PDFs Efficiently: Build a Streamlit PDF Sorter Application

Section 18: Convert YouTube Videos to Blog Posts with Streamlit

Lecture 23 Convert YouTube Videos to Blog Posts with Streamlit

Anyone interested in practical AI: Whether with or without coding, this course offers valuable insights into both no-code and coding-based AI solutions.,Anyone excited about building AI-powered applications using Large Language Models (LLMs),Anyone curious about how modern AI can assist in daily tasks without needing coding skills.,Those who want to learn how to interact with AI for tasks such as document processing, database querying, and generating reports.,People in various industries looking to automate tasks like writing emails, summarizing content, and managing data with the help of AI.,Anyone wanting to grasp prompt engineering and AI interaction to efficiently communicate with models like Llama 3.1 and Gemini.