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Designing Generative AI Systems: Architecture, Scale, and Deployment

Design generative AI services around explicit requirements, authorized retrieval, capacity estimates, evaluation, safety checks, and reversible releases. Text, image, speech, video, and captioning cases show how the tradeoffs change by workload.

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Sections
10
Lessons
42
Study time
22 Hours
Learner rating
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Move through the sections in order. Start with any open previews, then continue with the premium lessons when you are ready.

10 sections 42 lessons
  1. 1

    Evaluation, Scaling, and Inference Foundations

    4 lessons Free preview

  2. 2

    RAG, Fine-Tuning, Estimation, and Interview Strategy

    5 lessons Premium

  3. 3

    Text-to-Text Systems

    3 lessons Premium

  4. 4

    Text-to-Image Systems

    3 lessons Premium

  5. 5

    Text-to-Speech Systems

    3 lessons Premium

  6. 6

    Text-to-Video Systems

    3 lessons Premium

  7. 7

    Image Captioning and Speech Recognition

    4 lessons Premium

  8. 8

    Retrieval-Augmented Generation and Course Wrap-Up

    3 lessons Premium

  9. 9

    Hardware, Model Internals, and Generation Techniques

    9 lessons Premium

  10. 10

    Agentic Architectures, Caching, Tools, and Testing

    5 lessons Premium

Curriculum

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  1. 1.1Evaluation Metrics for GenAI Systems15 min
  2. 1.2Parallelism in GenAI Models13 min
  3. 1.3Inference Optimization in GenAI Systems10 min
  4. 1.4Key Concepts in Designing GenAI Systems13 min

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