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. 37
    Tune Hyperparameters with GridSearchCV

    Tune hyperparameters with GridSearchCV — Applied AI engineering tutorial, lesson 21.

  2. 38
    Applied AI engineering — Part 021

    Placeholder slot — edit in console (python-artificial-intelligence-stub-021).

  3. 39
    Missing Data Imputation

    Master missing data imputation in Python. Learn techniques like mean, median, and KNN imputation with hands-on exercises. Boost your AI pipelines.

  4. 40
    Applied AI engineering — Part 022

    Placeholder slot — edit in console (python-artificial-intelligence-stub-022).

  5. 41
    Detect and Remove Outliers

    Outliers skew analysis and models. This lesson shows you how to find them with IQR and z-scores, then remove them cleanly in Python. Hands-on, with troubleshooting, part of the Applied AI engineering track.

  6. 42
    Applied AI engineering — Part 023

    Placeholder slot — edit in console (python-artificial-intelligence-stub-023).

  7. 43
    Build a Full scikit-learn Pipeline

    Learn to build a full scikit-learn pipeline end-to-end: preprocessing, feature engineering, modeling, and evaluation. A hands-on, step-by-step Applied AI engineering tutorial.

  8. 44
    Applied AI engineering — Part 024

    Placeholder slot — edit in console (python-artificial-intelligence-stub-024).

  9. 45
    Save and load models with joblib

    Learn to save and load machine learning models using joblib in Python. This Applied AI engineering lesson covers core concepts, step-by-step walkthroughs, comparisons, and troubleshooting for reliable model persistence.

  10. 46
    Applied AI engineering — Part 025

    Placeholder slot — edit in console (python-artificial-intelligence-stub-025).

  11. 47
    Set Up a Python AI Environment

    Set up a Python AI development environment in this Applied AI engineering tutorial — hands-on steps, troubleshooting, and what to study next.

  12. 48
    Applied AI engineering — Part 026

    Placeholder slot — edit in console (python-artificial-intelligence-stub-026).

    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.