LLM Engineering & Generative AI · Tutorial tracks

Applied AI engineering

LLM APIs, structured outputs, retrieval, evaluation harnesses — Python-native application focus.

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Lesson outline

  1. 13
    Applied AI engineering — Part 007

    Placeholder slot — edit in console (python-artificial-intelligence-stub-007).

  2. 14
    Applied AI engineering — Part 008

    Placeholder slot — edit in console (python-artificial-intelligence-stub-008).

  3. 15
    Encode Categorical Features

    Encode categorical features with scikit-learn

  4. 16
    Applied AI engineering — Part 009

    Placeholder slot — edit in console (python-artificial-intelligence-stub-009).

  5. 17
    Scale Features for Consistent Models

    Learn to scale features for consistent models in this Applied AI engineering tutorial. Understand why scaling matters, how to apply it step by step, and connect it to the next lesson in the track.

  6. 18
    Applied AI engineering — Part 010

    Placeholder slot — edit in console (python-artificial-intelligence-stub-010).

  7. 19
    Build Your First Linear Regression

    Build your first linear regression model in Python — learn the core steps, hands-on code, common pitfalls, and what to study next in the Applied AI engineering track.

  8. 20
    Applied AI engineering — Part 011

    Placeholder slot — edit in console (python-artificial-intelligence-stub-011).

  9. 21
    MSE and R-squared Evaluation

    Learn how to evaluate regression models with MSE and R-squared — key metrics, hands-on exercises, and troubleshooting tips for applied AI engineering.

  10. 22
    Applied AI engineering — Part 012

    Placeholder slot — edit in console (python-artificial-intelligence-stub-012).

  11. 23
    Implement Logistic Regression

    Implement logistic regression for classification in Python. This lesson walks you through the core concepts, hands-on coding steps, edge cases, and what to learn next in the Applied AI engineering track.

  12. 24
    Applied AI engineering — Part 013

    Placeholder slot — edit in console (python-artificial-intelligence-stub-013).

    Applied AI engineering — step-by-step tutorials

    What you will find here

    This track walks through applied ai engineering in order — each lesson is server-rendered HTML you can read without JavaScript. Follow the outline, then practice in the browser IDE when a lesson links to runnable code.

    Tutorials vs quizzes and code samples

    Tutorials teach in sequence. For quick checks use quizzes. For copy-paste snippets see code samples. For deeper reading browse articles.