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.
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Contact our teamWhat will you learn?
This training immerses you in the dynamic world of managing and operationalizing large language models using Google Cloud.
You will learn how to deploy models, ensure their performance, and manage their lifecycle. From setting up workflows to fine-tuning scalable solutions, you will walk away with hands-on skills that are immediately applicable in the real world. This course is designed for tech enthusiasts ready to drive the future of AI with robust operational practices.
Key takeaways
- Build workflows for LLMs on GCP
- Deploy models effectively and securely
- Monitor LLM performance at scale
- Fine-tune AI for your unique needs
- Manage AI lifecycles with confidence
- Understand GCP’s AI ecosystem
Program
- Understand the core LLM concepts
- Evaluate the benefits of modularization
- Create your own LLM app
Who is it for?
This training is designed for developers, AI engineers, data scientists, and IT professionals who want to master LLMOps.
Whether you are responsible for deploying AI solutions, ensuring their scalability, or maintaining their lifecycle, this course is perfect for anyone ready to bring operational excellence to the world of AI.
Requirements
Basic knowledge of the topic is beneficial.
Why should I do 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 does it look like?
What else
should I know?
After registering, you will receive a confirmation email with practical information.
See you soon!
Course information
Available remotely or in-person
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.
