Image

FourthBrain Workshop

LLMOps: The Art of Implementation

Deploy, Monitor and support your LLM App

A 3-week workshop for engineers on the Ops stack for LLM applications. You'll learn to deploy, monitor and support an application including advanced RAG and multi-modal apps. 

  • Date: . Monday, March 4 - Wednesday, March 20
  • Time: 4-7pm PT on Mondays and Wednesdays
  • Cost: $2,000 for individuals  |  $6,000 for teams

Dive deep into the world of LLMs with this intensive three-week workshop. This meticulously designed course bridges the gap between theoretical knowledge and practical application, providing you with hands-on experience in building, evaluating, and scaling LLM applications.

You'll navigate through the complexities of the LLMOps lifecycle, distinguishing it from traditional MLOps. From mastering advanced Retrieval-Augmented Generation (RAG) techniques to deploying multi-modal applications on the cloud, you'll learn to operationalize LLMs at scale, ensuring continuous improvement through effective monitoring and feedback loops.

As industries adapt to take advantage of AI, businesses around the world are realizing that AI implementation will soon be essential to remain competitive and up-to-date.

Business leaders face the biggest challenge of not knowing how to begin. This workshop, exclusively for executives, directors, and decision-makers, has been designed to help them come up with concrete next steps to create a roadmap for incorporating AI into their businesses.

Key Outcomes

Gain a comprehensive understanding of the LLMOps lifecycle, how it diverges from MLOps, and operationalize multiple LLM apps from start to finish

Learn to construct applications using advanced RAG techniques and establish monitoring and feedback loops for continuous improvement

Construct an evaluation pipeline with best-in-class metrics and learn the intricacies of scaling multi-modal applications as cloud API services

Workshop Schedule

This workshop includes two live sessions a week on Tuesdays and Thursdays, plus additional practice on your own time. You will also have access to Slack to collaborate with your peers and instructors outside of class time. 

  • What differentiates LLMOps from MLOps
  • Master prompt engineering management and experiment tracking
  • Enhance LLM generation with RAG and fine-tuning
  • Host and deploy an LLM on your own infrastructure
  • Review practical techniques for evaluating LLMs, optimizing performance, and fine-tuning for specific tasks
Download the Syllabus

This workshop is for you if:

You are a software, ML, or dev ops engineer looking to expand your knowledge of LLM deployments

You have a foundational understanding of MLOps and wish to extend your expertise into LLMOps

You are eager to learn about the latest advancements in AI applications and how to operationalize these technologies at scale

How to Join

As an Individual

Choose this if you plan to join the workshop on your own and work on a solo project. Register below.

As a Team

Team registrations are for 2-4 people who plan to work together. Register as a Team here. 

Many employers offer reimbursement for programs like ours. Check out our tips for getting reimbursed.

"67% of companies saw revenue increase due to AI adoption"

- McKinsey Tech Trends Outlook 2022

Register Here

Part of a group? Register as a team here.

FAQs

Image

About FourthBrain

FourthBrain's mission is to bring more people into the growing fields of Machine Learning and Artificial Intelligence through flexible education programs. We equip leaders with the skills to lead organizations towards AI maturity, and support engineers, developers, and data scientists to make an impact in this field.
Image

About Andrew Ng

Featured Speaker: Dr. Andrew Ng

Dr. Andrew Ng is a globally recognized leader in AI. He is the Founder of DeepLearning.AI and Founder and CEO of Landing AI, and an Advisor to FourthBrain. 

Image

AI-First Mindset For Leaders

This class was designed to give company decision-makers at various levels, the AI understanding they need to lead from the front. The curriculum has been crafted to fill knowledge gaps for leaders experiencing any of the following:
  • You're struggling to figure out how AI can impact your organization
  • You want to stay ahead of the curve with AI technology, but aren't sure how to start
  • Your organization is experimenting with AI, but has not seen any real business impact from it
  • Your organization has some valuable models, but they are not fully integrated into daily operations