Containerization and Orchestration for LLMOps Engineers: A Beginner's Guide to Docker and Kubernetes
Master the essentials of Docker and Kubernetes to efficiently deploy, scale, and manage Large Language Models in production environments.
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Containerizing LLM Applications with Docker
Unit 1: Introduction to Containerization
Why Containers for LLMs?
Docker: The Basics
Setting Up Docker
Unit 2: Building Docker Images for LLMs
Your First Dockerfile
Dockerfile Best Practices
Building & Tagging Images
Unit 3: Managing and Sharing Containers
Running Your LLM Container
Container Lifecycle & Cleanup
Sharing Your LLM Image
Orchestrating LLM Deployments with Kubernetes
Unit 1: Kubernetes Fundamentals for LLMs
Why Kubernetes for LLMs?
Kubernetes Core Concepts
Your Local K8s Cluster
Unit 2: Deploying LLMs with Kubernetes Objects
Pods: The Smallest Unit
Deployments: Scaling LLMs
Services: Accessing LLMs
Unit 3: Managing and Monitoring LLM Deployments
Rolling Updates & Rollbacks
Monitoring LLM Resources
Troubleshooting LLM Deployments