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. 1
    Set Up Your AI Dev Environment

    Set up your AI development environment for Applied AI engineering — hands-on Python setup, troubleshooting, and next steps.

  2. 2
    Applied AI engineering — Part 001

    Placeholder slot — edit in console (python-artificial-intelligence-stub-001).

  3. 3
    Python Essentials for AI

    Review Python essentials for AI — Applied AI engineering tutorial, lesson 2.

  4. 4
    Applied AI engineering — Part 002

    Placeholder slot — edit in console (python-artificial-intelligence-stub-002).

  5. 5
    Install NumPy and pandas

    Install NumPy and pandas for data in this Applied AI engineering tutorial — hands-on steps, troubleshooting, and what to study next.

  6. 6
    Applied AI engineering — Part 003

    Placeholder slot — edit in console (python-artificial-intelligence-stub-003).

  7. 7
    Applied AI engineering — Part 004

    Placeholder slot — edit in console (python-artificial-intelligence-stub-004).

  8. 8
    Explore Data with Pandas

    Explore data with pandas and visualizations in this hands-on Applied AI engineering tutorial. Learn core concepts, step-by-step workflows, troubleshooting, and what to study next.

  9. 9
    Applied AI engineering — Part 005

    Placeholder slot — edit in console (python-artificial-intelligence-stub-005).

  10. 10
    AI Project Lifecycle

    Understand the AI project lifecycle — Applied AI engineering.

  11. 11
    Applied AI engineering — Part 006

    Placeholder slot — edit in console (python-artificial-intelligence-stub-006).

  12. 12
    Clean Data for ML

    Clean data for machine learning — Applied AI engineering.

    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.