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Generative AI Application Deployment and Monitoring 

  • Offered byDatabricks

Generative AI Application Deployment and Monitoring
 at 
Databricks 
Overview

A comprehensive guide to deploying, managing, and monitoring generative AI applications

Duration

4 hours

Start from

Start Now

Total fee

63,605

Mode of learning

Online

Official Website

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Credential

Certificate

Generative AI Application Deployment and Monitoring
 at 
Databricks 
Highlights

  • Earn a certificate after completion of course from Databricks
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Generative AI Application Deployment and Monitoring
 at 
Databricks 
Course details

More about this course

This course provides a comprehensive overview of the processes involved in deploying and managing generative AI models in production environments

The course wil cover how to operationalize generative AI applications following best practices and recommended architecture

Course Schedule

01 PM - 05 PM

Generative AI Application Deployment and Monitoring
 at 
Databricks 
Curriculum

Model Deployment Fundamentals

Model Management

Deployment Methods

 

Batch Deployment

Introduction to Batch Deployment

Batch Inference

Batch Inference Workflows using SLM

 

Real-Time Deployment

Introduction to Real-Time Deployment

Databricks Model Serving

Serving External Models with Model Serving

Deploying an LLM Chain to Databricks Model Serving 

Custom Model Deployment and A/B Testing

 

AI System Monitoring

AI Application Monitoring

Online Monitoring an LLM RAG Chain

 

LLMOps Concepts

MLOps Primer

LLMOps vs MLOps

Generative AI Application Deployment and Monitoring
 at 
Databricks 
Admission Process

    Important Dates

    Dec 16, 2024
    Course Commencement Date

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