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. 25
    Measure Classification Accuracy

    Learn to measure classification accuracy and precision in this Applied AI engineering tutorial. Understand core concepts, apply them in a hands-on exercise, and connect to next steps in your learning path.

  2. 26
    Applied AI engineering — Part 014

    Placeholder slot — edit in console (python-artificial-intelligence-stub-014).

  3. 27
    Assess Models with Confusion Matrices

    Use confusion matrices to assess models — Applied AI engineering. Learn to interpret TP, FP, FN, TN, compute metrics, and improve model evaluation.

  4. 28
    Applied AI engineering — Part 015

    Placeholder slot — edit in console (python-artificial-intelligence-stub-015).

  5. 29
    Train Your First Decision Tree

    Train your first decision tree — Applied AI engineering tutorial, lesson 16.

  6. 30
    Applied AI engineering — Part 016

    Placeholder slot — edit in console (python-artificial-intelligence-stub-016).

  7. 31
    Prune Decision Trees to Avoid Overfitting

    Prune decision trees to avoid overfitting in this hands-on Applied AI engineering lesson. Learn the core principles, step-by-step pruning techniques, and common pitfalls — then apply them in a practical exercise. Connect to the next lesson in the track.

  8. 32
    Applied AI engineering — Part 017

    Placeholder slot — edit in console (python-artificial-intelligence-stub-017).

  9. 33
    Applied AI engineering — Part 018

    Placeholder slot — edit in console (python-artificial-intelligence-stub-018).

  10. 34
    Applied AI engineering — Part 019

    Placeholder slot — edit in console (python-artificial-intelligence-stub-019).

  11. 35
    Cross-Validation for Reliable Scores

    Learn to apply cross-validation for reliable model scores in this hands-on Applied AI engineering lesson. Understand the core concept, implement it step by step, compare options, and troubleshoot common issues — then move on to the next lesson in the track.

  12. 36
    Applied AI engineering — Part 020

    Placeholder slot — edit in console (python-artificial-intelligence-stub-020).

    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.