Getting started with LLMOps: A practical guide

From LLMOps to Responsible AI, build hands-on skills with the frameworks and tools shaping real-world AI today. Meet top experts. Explore hundreds of sessions. Join the community driving applied data science forward. 🔹 ODSC West 2025 | Oct 28–30 | San Francisco Virtual Limited time offer -> 60% Off 👉 Save your seat now: https://hubs.li/Q03BWLPd0 #ODSCWest #AI #DataScience #MachineLearning #LLMOps #ResponsibleAI #MLOps #ODSC2025 #AIConference | Open Data Science Conference

Paras Varshney • Data Science • Tech & AI on Instagram: "Recruiters Love this Keyword on your Resume!👇✨ There days there is a buzzword trending “LLMOps”, let me tell you what it is and how is it different than DevOps and MLOps. In this video I have shared the fundamentals of LLMOps with exact tips that you need to know on how it works in a corporate setting and build your own pipelines and apply for ML/AI and DS job roles!! Comment “LLM” and I will share the FREE resource in DM! Save the video

Aishwarya Srinivasan | LinkedIn AI Top Voice | AI Advisor on Instagram: "WTH is MLOps vs. LLMOps? 🤔 If you’re building with traditional ML models (like XGBoost or CNNs), you’re in the MLOps world — where pipelines, data versioning, and model deployment are key. But if you’re working with foundation models, prompt tuning, RAG, or agent stacks — you’re in LLMOps land. Here, you’re managing prompts, fine-tuning checkpoints, vector stores, context windows, and model evaluations with language