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.
Who this course is for:
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.
Homepage

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