LLMOps

After this skill you can…

• Set up LangSmith or Langfuse for LLM tracing
• Version and test prompts in a CI pipeline
• Monitor token costs, latency, and quality metrics

Prerequisites

Watch (10 videos)

Deploy ComfyUI Docker Container on MonsterAPI

MonsterAPI · intermediate hands-on

→ Deploy custom LLM models on MonsterAPI→ Finetune LLMs with GPU computing

LLMOps

Coursera · advanced hands-on

→ Create a custom LLM using the LLMOps pipeline→ Deploy a supervised instruction tuning model

Detailed LLMOPs Project Lifecycle

Krish Naik · intermediate hands-on

→ Deploy LLMOPs projects→ Take AI projects to production

4. LLM Ops Infrastructure: Model Serving, RAG Pipelines, and Observability

Analytics Vidhya · advanced hands-on

→ Build LLM Ops Infrastructure→ Implement model serving and RAG pipelines

Model CI/CD Course: LLM Evaluation results

Weights & Biases · intermediate hands-on

→ Deploy LLM models to production→ Automate LLM evaluation pipelines

OpenClaw is open! Run your 24x7 Clawdbot on a Secure VPS!

1littlecoder · beginner hands-on

→ Deploy an AI assistant on VPS→ Use Docker for AI deployment

Build and Deploy a GenAI App with RAG on AWS Cloud | Step-by-Step Tutorial

Analytics Vidhya · intermediate hands-on

→ Deploy GenAI app on cloud→ Build RAG-based chatbot

Develop Build and Deploy LLM Apps using GitHub Models and Azure AI Foundry | BRK107

Microsoft Developer · intermediate hands-on

→ Deploy an LLM model to production using Azure AI Foundry→ Build an LLM app using GitHub Models

Workshop: MLOps: End-to-End Hugging Face Transformers with the Hub & SageMaker Pipelines

HuggingFace · intermediate hands-on

→ Deploy Hugging Face Transformers to production→ Create automated MLOps pipelines

Scaling your tuned models with Cloud Run

Google Cloud Tech · beginner hands-on

→ Deploy AI models on cloud infrastructure→ Scale models for high performance

Read (10 articles)