LLMOps On-Prem & Cloud

Data and AI
GenAI
Generative AI

Master LLM deployment and management in any environment. Learn to optimize LLM operations for on-premises and cloud infrastructures with hands-on labs.

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What will you learn?

This course will give you the expertise to deploy, manage, and scale large language models (LLMs) across diverse infrastructures. You will learn how to set up LLM operations on-premises with tools like OpenShift and Docker, leverage cloud-native platforms like AWS SageMaker and Azure ML, and integrate both into hybrid models. Emphasis will be placed on securing LLM operations, monitoring for uptime, and scaling for high performance. By working through hands-on labs, you will confidently tackle real-world challenges in LLM deployment and management across different environments.

Key takeaways

  1. Master LLM deployment on-premises and cloud
  2. Learn hybrid deployment strategies
  3. Ensure security and compliance for LLMs
  4. Optimize scaling for performance
  5. Build practical skills with hands-on labs

Program

  • Introduction to LLMOps: Understand core concepts and operational challenges in LLMs.
  • On-Prem LLM Deployment: Learn to manage infrastructure and optimize resources with OpenShift.
  • Cloud LLM Deployment: Use cloud-native services like AWS, Azure, and Google AI Platform.
  • Hybrid Deployment Models: Integrate on-prem and cloud solutions seamlessly.
  • Security and Compliance: Apply best practices to secure LLM operations.
  • Monitoring and Scaling: Ensure uptime and performance with robust techniques.
  • Hands-on Labs: Deploy and manage LLMs in hybrid environments.

Who is it for?

This course is designed for AI engineers, system architects, and data professionals who manage LLMs in diverse environments. It is ideal for those looking to specialize in hybrid AI infrastructure and secure deployments.

Requirements

Basic knowledge of the topic is beneficial. 

Why should I do this training?

Hybrid expertise

Master LLMs on-prem and in the cloud.

Security-focused

Learn to implement secure, compliant solutions.

Scalable solutions

Optimize for performance and reliability.

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 

Duration: 12-14 hours

Hands-on exercises with real repositories 

Hybrid and cloud-focused content

Includes real-world project scenarios

Certification provided upon completion

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.


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