Scale and Deploy LLMs in Production Environments
LLMs are revolutionary yet challenging to deploy and manage. This course will teach you to create and customize blueprints for deploying LLMs in a scalable, cost-effective, and secure way that aligns with your enterprise goals.
What you'll learn
Despite all the promise and potential of Large Language Models (LLMs), leveraging these LLMs in a production environment is complex and challenging.
In this course, Scale and Deploy LLMs in Production Environments, you’ll gain the ability to create and customize blueprints for deploying LLMs in a scalable, cost-effective, and secure way that aligns with your enterprise goals.
First, you’ll explore different approaches to LLM deployment in production and customize the deployment blueprint based on your use case and enterprise needs.
Next, you’ll discover considerations related to monitoring and maintaining LLMs in production.
Finally, you’ll learn how to integrate LLMs into your enterprise ecosystem safely and securely.
When you’re finished with this course, you’ll have the skills and knowledge of constructing LLM deployment blueprints needed to use them in a production environment that is scalable, secure, and responsible.
Table of contents
About the author
Abhishek Kumar is a data science consultant, author, and Google Developers Expert (GDE) in machine learning. He holds a master’s degree from the University of California, Berkeley, and has been featured in the "Top 40 under 40 Data Scientist" list. He is also a public speaker and has delivered talks in top data conferences across the globe including Strata Data, AI conference, ODSC, and Fifth Elephant. His focus area is machine learning and deep learning at scale and is also a recipient of the... more