Lesson 1: The Foundations of Large Language Models
We start by dismantling the mystery behind AI by exploring the architecture of transformers and how models learn to predict the next token.
We start by dismantling the mystery behind AI by exploring the architecture of transformers and how models learn to predict the next token.
This lesson details structured prompt design patterns that significantly improve the quality and relevance of AI responses.
Move beyond text to understand how diffusion models transform random noise into coherent, high-resolution images.
A hands-on approach to calling AI models via code, moving beyond the web chat interface into automated pipelines.
We synthesize all previous lessons to build a Python-based utility that summarizes long documents automatically.
Learn how to set up VS Code with Cursor or GitHub Copilot to optimize your full-stack development lifecycle.
Use AI to scaffold high-fidelity React components while applying the utility-first philosophy of Tailwind CSS.
Develop robust RESTful APIs using Node.js and Express, utilizing AI to draft schema definitions and database queries.
Learn to structure your database schemas effectively using AI to normalize your data and optimize query performance.