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    GenAI Fundamentals

    Understand the core concepts behind generative AI — what it is, how it works, and why it matters for developers

    1

    What is AI and Machine Learning

    Learn the hierarchy from AI to Machine Learning to Deep Learning to Generative AI, and understand why this matters for developers right now.

    2

    Understanding Large Language Models

    Discover what LLMs like GPT, Claude, and Gemini are, how they're trained, and why they sometimes make things up.

    3

    Tokens, Context Windows, and Temperature

    Master the practical parameters of working with LLMs — tokens, context windows, temperature, top_p, and max_tokens — with code examples.

    4

    The GenAI Landscape

    Navigate the major model providers, compare top models, understand open vs closed source, and learn when to use which model.

    5

    How LLMs Actually Work

    Understand the attention mechanism, next-token prediction, and embeddings — the core concepts that explain both the power and limitations of LLMs.

    6

    GenAI Use Cases for Developers

    Explore practical GenAI applications you can build — from code generation and chatbots to RAG systems and AI-powered search — with code examples.

    7

    GenAI Fundamentals Cheat Sheet

    Your complete quick reference for GenAI concepts, model comparisons, parameter tuning, key terminology, and decision frameworks.