LLMOps on GCP

Google Cloud Platform (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.

Contact Us for Incompany Training

Our in-company training programs are fully customizable to meet your organization’s unique needs. Reach out to discuss how we can help your team grow.

Contact our team

What 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

  1. Build workflows for LLMs on GCP
  2. Deploy models effectively and securely
  3. Monitor LLM performance at scale
  4. Fine-tune AI for your unique needs
  5. Manage AI lifecycles with confidence
  6. 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 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.

Incompany Request

Empower your team with our tailored in-company training solutions. Customized to meet your organization’s specific needs, our experts will help your team master the skills they need to excel.

Use this form to request this course, and our sales team will get in touch with you as soon as possible to discuss your needs and customize the training for your organization.


Also interesting for you

View all training courses
Machine Learning Explainability 

Learn how to apply Machine Learning explainability techniques based on implementations from popular packages. 

Lysanne van Beek

Machine Learning
1 day
Virtual

Next:

10 Feb, 2025

From:

€670

View training
Machine Learning System Design 

Learn in this Machine Learning System Design training how to design, reason, and communicate about larger ML systems.

Roy van Santen

Machine Learning
2 days
Virtual

Next:

13 – 14 Feb, 2025

From:

€1405

View training
Introduction to Deep Learning

Everyone talks AI, but what is it exactly? This three-day Deep Learning course will take you on a journey to demystify AI. You will learn the fundamentals of Deep Learning, how it works, how it differs from traditional Machine Learning, and how you can apply it to the most common AI applications.

Enrico Erler

Data Science
Machine Learning
3 days
Virtual

Next:

3 Mar, 2025

From:

€1835

View training
MLOps on Azure

This MLOps on Azure training is then a perfect next step if you’d like like to take your Machine Learning models further.

Jeroen Overschie

Azure
GitHub
Machine Learning
Microsoft
2 days
In Person

Next:

6 – 7 Mar, 2025

From:

€1520

View training
Production Ready Machine Learning

Follow our Production-Ready Python for Machine Learning training course to bring your machine learning models into production.

David Coba

Data Engineering
Data Science
Machine Learning
Python
Software Development
Software Testing
3 days
In Person

Next:

24 Mar, 2025

From:

€2175

View training

Can’t find the course you’re looking for? There’s more!