Operating LLMs in Production

3

Days

Live or E-learning

Delivery Method

Advanced

Skill Level

$1,800 USD

Fee

Overview

The Operating LLMs in Production course provides a comprehensive understanding of deploying and managing LLMs in production environments. This course is designed for both NLP engineer, LLM engineer and MLOps professional seeking to master LLM operations. Participants will gain hands-on experience in setting up cloud-based AI infrastructure, utilizing GPU clusters, and leveraging distributed training and inference techniques. Participants will gain hands-on experience in optimizing and scaling LLMs for real-world applications.

Completing this course will help you:

  • Deploy LLMs in production using containerized cloud infrastructure.
  • Utilize GPUs and other hardware accelerators to optimize LLM training and inference workloads.
  • Implement distributed training and inference techniques to scale LLM deployments across multiple nodes.
  • Monitor and optimize LLM performance in production environments, balancing costs, performance, and scalability.

Curriculum

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Why WeCloudData

Built for real enterprise training.
WeCloudData programs are designed to scale with your organization, adapt to your business needs, and deliver practical, role-based skills that teams can apply immediately.

  • Scales from pilot teams to enterprise-wide rollouts
  • Co-designed around your roles, data, and business goals
  • Hands-on learning through real-world projects
  • Led by industry practitioners, not just instructors
  • Focused on measurable skill outcomes, not certificates
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