AI 4 Everyone: Dive into Modern AI with Llama 3.1 and Gemini

Create Generative AI & Computer Vision Apps: Automate tasks, build LLM apps, and explore practical AI solutions.

Created by: Muhammad Moin
Instructor

What Will I 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

Target audience

• 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.