End-to-End GenAI Model Engineering

End-to-End GenAI Model Engineering

Designing and Operationalizing the Full Stack of Generative AI



Sub Category

  • Other IT & Software

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Objectives

  • Execute fine-tuning workflows for custom model development with evaluation frameworks.
  • Implement production deployment strategies with infrastructure planning and monitoring systems.
  • Construct comprehensive maintenance protocols with automated scheduling and performance tracking.
  • Apply advanced deployment patterns for diverse GenAI applications with scalability considerations.


Pre Requisites

  1. Advanced Python programming and ML frameworks.
  2. Experience with cloud platforms and containerization.
  3. Understanding of model training and evaluation.
  4. Knowledge of production system architecture


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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