AI track

AI, from how it works to how to use it

Machine learning from the ground up, how large language models actually work, and the practical craft of prompting, context engineering and building with agents.

0 of 42 lessons complete42 published ยท 6 modules
Start with What Is Machine LearningPractice problems

Recommended order. If you are new to ML, start at module 1. If you mostly want to use AI tools better today, you can start at module 3 (Prompting) and come back to the first two modules later.

  1. Machine Learning Foundations

    7 lessons

    How a program learns from examples instead of rules.

    1. What Is Machine Learning13 min
    2. How Models Learn15 min
    3. Regression and Classification15 min
    4. Overfitting and Evaluation15 min
    5. Decision Trees and Ensembles15 min
    6. Neural Networks16 min
    7. Embeddings15 min

  2. How LLMs Work

    6 lessons

    What is really happening when a model writes text.

    1. What Is an LLM13 min
    2. Tokens14 min
    3. Attention and Transformers16 min
    4. Training and Fine-Tuning15 min
    5. Sampling and Temperature14 min
    6. Why Models Hallucinate14 min

  3. Prompting

    8 lessons

    Getting the answer you want, on purpose.

    1. Prompting Basics12 min
    2. Be Clear and Specific13 min
    3. Show Examples14 min
    4. Give the Model Room to Think14 min
    5. Structured Output15 min
    6. System Prompts14 min
    7. Debugging Prompts15 min
    8. Prompt Injection15 min

  4. Context Engineering

    8 lessons

    Deciding what the model sees, and why that matters more than wording.

    1. What Is Context12 min
    2. The Context Window13 min
    3. Context Engineering14 min
    4. RAG Basics15 min
    5. Chunking and Retrieval15 min
    6. Memory13 min
    7. Tools and MCP14 min
    8. Context Rot13 min

  5. Agents

    6 lessons

    Models that act in a loop with tools, and how to keep them on track.

    1. What Is an Agent13 min
    2. Tool Use14 min
    3. The Agent Loop15 min
    4. Planning and Multi-Agent Systems15 min
    5. Evals16 min
    6. Guardrails15 min

  6. Working With AI

    7 lessons

    Habits that make AI a reliable tool instead of a coin flip.

    1. Coding With AI16 min
    2. Verifying AI Output15 min
    3. Writing a Good Brief16 min
    4. Learning With AI14 min
    5. Privacy and Security15 min
    6. Choosing a Model15 min
    7. Common Mistakes14 min