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. 193
    Reproducible Training Scripts

    Create reproducible training scripts in this Applied AI engineering lesson. Learn core concepts, hands-on steps, troubleshooting, and what to study next.

  2. 194
    Manage Dependencies with Poetry

    Manage Dependencies with Poetry — Applied AI engineering tutorial. Hands-on steps, troubleshooting, and what to study next.

  3. 195
    Hydra Config Management

    Master Hydra for config management in this Applied AI engineering lesson — hands-on steps, troubleshooting, and what to study next.

  4. 196
    CI Checks for Model Quality

    Implement CI checks for model quality in this Applied AI engineering tutorial. Learn step-by-step methods, hands-on examples, and next steps.

  5. 197
    Add Model Fairness Audits

    Add model fairness audits

  6. 198
    Track Data Lineage

    Track data lineage in pipelines with this Applied AI engineering tutorial. Learn core concepts, hands-on steps, troubleshooting, and what to study next.

  7. 199
    Version Datasets with DVC

    Use DVC for dataset versioning — Applied AI engineering.

  8. 200
    Collaborate with Jupyter in Teams

    Collaborate with Jupyter in teams — Applied AI engineering. Learn to share notebooks, manage versions, and work together effectively.

  9. 201
    Convert Notebooks to Production Code

    Learn how to convert Jupyter notebooks into maintainable, production-ready Python code. This lesson covers the key steps, from refactoring cells into functions and modules to adding tests and packaging.

  10. 202
    Use Typer for CLI Tools

    Use Typer for CLI tools — Applied AI engineering.

  11. 203
    Model Registry with Docker

    Learn to build a model registry with Docker in this Applied AI engineering tutorial. Step-by-step guidance, hands-on exercises, and troubleshooting tips for developers.

  12. 204
    Deploy Multi-Model Endpoints

    Learn to deploy multi-model endpoints in Applied AI engineering — core concepts, hands-on steps, and troubleshooting.

    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.