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. 109
    Applied AI engineering — Part 057

    Placeholder slot — edit in console (python-artificial-intelligence-stub-057).

  2. 110
    Fine-tune BERT for Sentiment Analysis

    Fine-tune BERT for sentiment analysis in this hands-on tutorial. Learn core concepts, step-by-step implementation, troubleshooting, and next steps in the Applied AI engineering track.

  3. 111
    Applied AI engineering — Part 058

    Placeholder slot — edit in console (python-artificial-intelligence-stub-058).

  4. 112
    Generate Text with GPT-Style Models

    Learn to generate text with GPT-style models via the OpenAI API — covering prompt design, sampling parameters, and hands-on Python examples.

  5. 113
    Applied AI engineering — Part 059

    Placeholder slot — edit in console (python-artificial-intelligence-stub-059).

  6. 114
    Build a RAG Chat Assistant

    Build a chat assistant with RAG pipeline in this hands-on Applied AI engineering tutorial. Learn to combine retrieval with LLM generation, troubleshoot edge cases, and get ready for the next lesson.

  7. 115
    Applied AI engineering — Part 060

    Placeholder slot — edit in console (python-artificial-intelligence-stub-060).

  8. 116
    Evaluate LLM Outputs with Metrics

    Learn to evaluate LLM outputs with metrics in this hands-on Applied AI engineering tutorial. Step-by-step guidance, practical exercises, and troubleshooting tips.

  9. 117
    Applied AI engineering — Part 061

    Placeholder slot — edit in console (python-artificial-intelligence-stub-061).

  10. 118
    Deploy AI Models with FastAPI

    Deploy AI models with FastAPI — Applied AI engineering tutorial, lesson 62. Hands-on steps, troubleshooting, and what to study next.

  11. 119
    Applied AI engineering — Part 062

    Placeholder slot — edit in console (python-artificial-intelligence-stub-062).

  12. 120
    Create a REST API for Predictions

    Learn to create a REST API for predictions in this Applied AI engineering tutorial. Step-by-step, practical, with 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.