Generative AI in Production (GAIP)

 

Course Overview

In this course, you learn about the different challenges that arise when productionizing generative AI-powered applications versus traditional ML. You will learn how to manage experimentation and tuning of your LLMs, then you will discuss how to deploy, test, and maintain your LLM-powered applications. Finally, you will discuss best practices for logging and monitoring your LLM-powered applications in production.

Who should attend

Developers and machine learning engineers who wish to operationalize Gen AI-based applications

Prerequisites

Course Objectives

  • Describe the challenges in productionizing applications using generative AI.
  • Manage experimentation and evaluation for LLM-powered applications.
  • Productionize LLM-powered applications.
  • Implement logging and monitoring for LLM-powered applications.

Prices & Delivery methods

Online training
Modality: L

Duration 1 day

Price
  • on request
Classroom training
Modality: C

Duration 1 day

Price
  • on request

Schedule

German

Time zone: Central European Summer Time (CEST)   ±1 hour

Online training This is a FLEX course. Time zone: Central European Time (CET)
Online training This is a FLEX course. Time zone: Central European Summer Time (CEST)
Online training This is a FLEX course. Time zone: Central European Summer Time (CEST)
Online training This is a FLEX course. Time zone: Central European Time (CET)
This is a FLEX course, which is delivered both virtually and in the classroom.

Europe

Switzerland

Zürich This is a FLEX course.   Time zone: Central European Time (CET) Course language: Deutsch Enroll:
for online training
for classroom training
Zürich This is a FLEX course.   Time zone: Central European Summer Time (CEST) Course language: Deutsch Enroll:
for online training
for classroom training
Zürich This is a FLEX course.   Time zone: Central European Summer Time (CEST) Course language: Deutsch Enroll:
for online training
for classroom training
Zürich This is a FLEX course.   Time zone: Central European Time (CET) Course language: Deutsch Enroll:
for online training
for classroom training
This is a FLEX course, which is delivered both virtually and in the classroom.