LLMOps on Azure
Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with Azure.
In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success.
Elevate your LLMOps proficiency on Azure and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape.
Looking to upskill your team or organization?
Juanette will gladly help you further with custom training solutions.
Juanette Evans
Data and AI Training Advisor
What will you learn?
After the training, you will be able to:
Create your own industry-grade LLM application
Automate integration and deployment workflow with CI/CD
Containerize and deploy your LLM app in Azure
Monitor the health and performance of your LLM application
Program
This training is for you, if:
You primarily work on Azure Cloud
You have deployed models with AzureML
You’ve played around with LLMs in Python already (e.g. with LangChain)
This training is not for you, if:
You want to create LLM applications in Python (check out our Building LLM Applications course instead)
You want to deploy machine learning models on Azure (check out our MLOps on Azure course instead)
You want to learn how to fine tune LLMs
You want to deploy LLMs on GCP (check out our LLMOps on GCP course instead)
Why should I follow this training?
Enhance your proficiency in deploying and managing LLM Applications
A hands-on training with real life examples – learn today, apply tomorrow!
Gain practical insights for seamlessly integrating LLM solutions on Azure cloud
What else should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.
See you soon!
All literature and course materials are included in the price.
Information on the software and tooling will be shared before the start date.
You will require a laptop with installation rights for Python and Python packages.
Online courses are delivered via Zoom or Microsoft Teams.
Meet the Trainers
Jeroen Overschie
Jeroen is a Machine Learning Engineer at Xebia Data. Jeroen has a background in Software Engineering and Data Science and helps companies take their Machine Learning solutions into production. Jeroen has worked extensively with all things Data Science, MLOps, GenAI/LLM’s and knows his way around tooling to deliver production-quality Python code.
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