Udemy – LLMOps & ML Deployment: Bring LLMs and GenAI to Production 2024-4

Udemy – LLMOps & ML Deployment: Bring LLMs and GenAI to Production 2024-4 Downloadly IRSpace

Apr 17, 2025 - 20:19 Updated: Aug 17, 2025 - 15:18

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Udemy – LLMOps & ML Deployment: Bring LLMs and GenAI to Production 2024-4

LLMOps & ML Deployment: Bring LLMs and GenAI to Production, Welcome to the course where you’ll 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’ll 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.

What you’ll learn

Learn to set-up, configure and deploy large language models with precision, ensuring smooth operation in production environments.
Gain practical skills in ML-Ops with MLflow for effective model management and deployment.
Conduct cost-benefit analyses and apply strategic planning for economical AI project management.
Implement the latest LLM optimization and scaling techniques to enhance model performance.

Who this course is for

This course is tailored for AI practitioners, data scientists, software engineers, and business professionals aiming to integrate AI into their operations, offering deep insights into deploying large language models with an emphasis on scalability, cost efficiency, and ML-Ops, making it valuable for any company looking to leverage AI for a strategic advantage.