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artificial-intelligence
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Learn AI Fundamentals

A practical introduction to artificial intelligence for developers — from core concepts and machine learning through LLMs, RAG, agents, and responsible AI.

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Foundations

  1. 1

    What Is AI?

    Core concepts, types of AI, and essential terminology for developers

  2. 2

    Machine Learning Basics

    Supervised and unsupervised learning, training, and inference for developers

  3. 3

    Neural Networks

    Layers, weights, forward passes, and activation functions explained

Large Language Models

  1. 1

    Large Language Models

    Transformers, tokens, context windows, and what LLMs can and cannot do

  2. 2

    Prompt Engineering

    System and user messages, few-shot examples, chain-of-thought, and practical tips

Building with AI

  1. 1

    AI APIs

    Calling LLM APIs from code with keys, requests, and streaming

  2. 2

    Embeddings

    Vector representations, similarity search, and practical use cases

  3. 3

    RAG Basics

    Retrieval-augmented generation pipeline for developer applications

  4. 4

    AI Agents

    Tool use, agent loops, and when agents beat simple prompts

Responsible Development

  1. 1

    Responsible AI

    Bias, hallucinations, privacy, and human oversight for production AI

Curriculum

  1. Foundations

    What Is AI?
  2. Machine Learning Basics
  3. Neural Networks
  4. Large Language Models

    Large Language Models
  5. Prompt Engineering
  6. Building with AI

    AI APIs
  7. Embeddings
  8. RAG Basics
  9. AI Agents
  10. Responsible Development

    Responsible AI

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