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. 121
    Applied AI engineering — Part 063

    Placeholder slot — edit in console (python-artificial-intelligence-stub-063).

  2. 122
    Containerize AI Apps with Docker

    Learn how to containerize AI apps with Docker in this Applied AI engineering lesson. Step-by-step instructions, troubleshooting tips, and next steps.

  3. 123
    Applied AI engineering — Part 064

    Placeholder slot — edit in console (python-artificial-intelligence-stub-064).

  4. 124
    Monitor Models with Logging

    Monitor models with logging — Applied AI engineering.

  5. 125
    Applied AI engineering — Part 065

    Placeholder slot — edit in console (python-artificial-intelligence-stub-065).

  6. 126
    Version Models with MLflow

    Learn to version models with MLflow in this Applied AI engineering tutorial — core concepts, step-by-step walkthrough, and troubleshooting.

  7. 127
    Applied AI engineering — Part 066

    Placeholder slot — edit in console (python-artificial-intelligence-stub-066).

  8. 128
    Use feature stores for consistency

    Learn how feature stores ensure consistency across training and serving — a core practice in Applied AI engineering, with hands-on steps and next-lesson guidance.

  9. 129
    Applied AI engineering — Part 067

    Placeholder slot — edit in console (python-artificial-intelligence-stub-067).

  10. 130
    Automate Training with GitHub Actions

    Automate training with GitHub Actions — Applied AI engineering.

  11. 131
    Applied AI engineering — Part 068

    Placeholder slot — edit in console (python-artificial-intelligence-stub-068).

  12. 132
    Schedule Retraining Pipelines with Airflow

    Learn how to schedule retraining pipelines with Airflow in this hands-on Applied AI engineering tutorial — step-by-step, with troubleshooting and next steps.

    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.