{"id":3810,"date":"2026-08-10T09:07:53","date_gmt":"2026-08-10T09:07:53","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-llmops-ml-deployment-bring-llms-and-genai-to-production-2024-4\/"},"modified":"2026-08-10T09:07:53","modified_gmt":"2026-08-10T09:07:53","slug":"udemy-llmops-ml-deployment-bring-llms-and-genai-to-production-2024-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-llmops-ml-deployment-bring-llms-and-genai-to-production-2024-4\/","title":{"rendered":"Udemy \u2013 LLMOps & ML Deployment: Bring LLMs and GenAI to Production 2024-4"},"content":{"rendered":"
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Descriptions<\/h2>\n

LLMOps & ML Deployment: Bring LLMs and GenAI to Production, Welcome to the course where you\u2019ll learn how to effectively deploy and scale Large Language Models in production environments using LLMOps and cutting edge techniques. This course is designed to equip you with the knowledge and skills required for using large, machine learning models into the real world. Techniques for ensuring model correctness. Useful Strategies for optimizing model performance (both accuracy and speed) before deployment. Hands-on guidance setting up and using MLflow our own mlflow server. Hands-on exercises and insights into ML-Ops practices for model tracking, serving, and deployment. How to securely integrate these concepts into existing pipelines. Learn and implement advanced batching, dynamic batches, and quantization. We\u2019ll cover cutting edge concepts such as Flash Attention, Paged Attention, GPTQ, AWQ, LoRa and much more! Dive into advanced scaling techniques such as ZeRo and Deepspeed.<\/p>\n

What you\u2019ll learn<\/h3>\n