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. 61
    Applied AI engineering — Part 033

    Placeholder slot — edit in console (python-artificial-intelligence-stub-033).

  2. 62
    Build a Simple Perceptron

    Build a simple perceptron from scratch in this hands-on Python lesson. Understand the core concept, implement step-by-step, and troubleshoot common pitfalls to solidify your Applied AI engineering foundation.

  3. 63
    Applied AI engineering — Part 034

    Placeholder slot — edit in console (python-artificial-intelligence-stub-034).

  4. 64
    Gradient Descent Optimization

    Implement gradient descent for optimization — a step-by-step Applied AI engineering tutorial. Understand the core concept, walk through hands-on exercises, troubleshoot edge cases, and connect to the next lesson.

  5. 65
    Applied AI engineering — Part 035

    Placeholder slot — edit in console (python-artificial-intelligence-stub-035).

  6. 66
    Activate Neurons with ReLU and Sigmoid

    Learn how activation functions like ReLU and sigmoid work and when to use them. Hands-on Python tutorial with troubleshooting and next steps.

  7. 67
    Applied AI engineering — Part 036

    Placeholder slot — edit in console (python-artificial-intelligence-stub-036).

  8. 68
    Design Your First Feedforward Network

    Design your first feedforward network — Applied AI engineering.

  9. 69
    Applied AI engineering — Part 037

    Placeholder slot — edit in console (python-artificial-intelligence-stub-037).

  10. 70
    Train Networks with Backpropagation

    Learn to train neural networks using backpropagation. This lesson explains the core concept, walks through the math and code step by step, and provides hands-on practice in Python to solidify your understanding.

  11. 71
    Applied AI engineering — Part 038

    Placeholder slot — edit in console (python-artificial-intelligence-stub-038).

  12. 72
    Build Dense Layers with Keras

    Learn to build dense layers with Keras in this Applied AI engineering tutorial — step-by-step guidance, hands-on coding, 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.