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Generative AI Application Deployment and Monitoring

Ready to learn how to deploy, operationalize, and monitor generative deploying, operationalizing, and monitoring generative AI applications? This content will help you gain skills in the deployment of generative AI applications using tools like Model Serving. We’ll also cover how to operationalize generative AI applications following best practices and recommended architectures. Finally, we’ll discuss the idea of monitoring generative AI applications and their components using Lakehouse Monitoring.



Skill Level
Associate
Duration
4h
Prerequisites
  • Familiarity with natural language processing concepts
  • Familiarity with prompt engineering/prompt engineering best practices 
  • Familiarity with the Databricks Data Intelligence Platform
  • Familiarity with RAG  (preparing data, building a RAG architecture, concepts like embedding, vectors, vector databases, etc.)
  • Experience with building LLM applications using multi-stage reasoning LLM chains and agents
  • Familarity with Databricks Data Intelligence Platform tools for evaluation and governance. 



Upcoming Public Classes

Date
Time
Language
Price
Jun 20
09 AM - 01 PM (America/Los_Angeles)
English
$750.00

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