LLM Engineering & Generative AI · Tutorial tracks

Applied AI engineering

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

Start tutorial

Sponsored

Lesson outline

  1. 49
    Load Data with Pandas and NumPy

    Load data with pandas and NumPy in this Applied AI engineering tutorial. Learn core concepts, hands-on steps, troubleshooting, and what to study next.

  2. 50
    Applied AI engineering — Part 027

    Placeholder slot — edit in console (python-artificial-intelligence-stub-027).

  3. 51
    Explore Data with Pandas Profiling

    Learn to explore data with pandas profiling — a practical, step-by-step tutorial for Applied AI engineering. Understand the core concept, apply it in hands-on exercises, and discover troubleshooting tips and what to study next.

  4. 52
    Applied AI engineering — Part 028

    Placeholder slot — edit in console (python-artificial-intelligence-stub-028).

  5. 53
    Applied AI engineering — Part 029

    Placeholder slot — edit in console (python-artificial-intelligence-stub-029).

  6. 54
    One-Hot Encode Categorical Variables

    Learn one-hot encoding for categorical variables in this Applied AI engineering lesson. Understand the concept, apply it in a hands-on exercise, troubleshoot edge cases, and prepare for the next step.

  7. 55
    Applied AI engineering — Part 030

    Placeholder slot — edit in console (python-artificial-intelligence-stub-030).

  8. 56
    Handle Imbalanced Classes with SMOTE

    Handle imbalanced classes with SMOTE in this Applied AI engineering tutorial. Learn the core idea, step-by-step implementation, and practical troubleshooting.

  9. 57
    Applied AI engineering — Part 031

    Placeholder slot — edit in console (python-artificial-intelligence-stub-031).

  10. 58
    Evaluate Regression with R² and MAE

    Evaluate regression with R-squared and MAE — Applied AI engineering. Learn to assess model accuracy with hands-on steps, troubleshooting, and next steps.

  11. 59
    Applied AI engineering — Part 032

    Placeholder slot — edit in console (python-artificial-intelligence-stub-032).

  12. 60
    Neural Network Fundamentals

    Master neural network fundamentals in this Applied AI engineering tutorial — learn core concepts, hands-on steps, and troubleshooting in a practical, progressive lesson.

    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.