LLMOps on GCP
Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with the Google Cloud Platform (GCP).
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 GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape.
Looking to upskill your team or organization?
Surat will gladly help you further with any personal or in-company needs you might have.
Surat Wahal
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 GCP
Monitor the health and performance of your LLM application
Program
This training is for you, if:
You primarily work on Google Cloud
You have deployed models with Vertex AI
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 GCP (check out our MLOps on GCP course instead)
You want to learn how to fine tune LLMs
You want to deploy LLMs on Azure (check out our LLMOps on Azure 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 GCP
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.
