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FourthBrain Workshop

Proprietary Data and LLMs

Build a data-secure application

An advanced workshop for ML engineers, tech leads and managers on using LLMs with proprietary data. You'll learn to leverage LLMs for enterprise applications using sensitive data and domain-specific requirements.
  • Date: Friday, April 12th
  • Time: 8am-2:30pm PT
  • Cost: $500 for individuals  |  $1,500 for teams of 4
Register Now

"The lab demo and discussions were phenomenal."

"All of the context setting data was fantastic, the coding example work was also very helpful."

Building an enterprise application using current available LLMs can introduce security and privacy risks. Maintaining data privacy is a crucial step while building generative AI applications.

In this workshop you will learn to build and deploy an LLM-powered application while maintaining data privacy. You'll learn to host your own LLMs, fine-tune them for domain-specific and privacy-sensitive enterprise use cases, and explore the best evaluation methods to validate and monitor performance.

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

Understand strategies for preserving data privacy and security

Adapt pre-trained models to specific industries and domains

Evaluate and deploy fine-tuned models effectively

Workshop Schedule

This workshop includes one 6-hour live class session. 

  • Overview of LLMs and the current tech landscape 
  • Guidance for when fine-tuning is appropriate (or not!)
  • Strategies for preserving data privacy in fine-tuning (federated p-tuning, differential privacy, etc.)
Download the Syllabus

This workshop is for you if:

You are an AI or ML engineer working on generative AI applications using proprietary or sensitive data

You have some familiarity with deep learning concepts; intermediate knowledge of Natural Language Processing is recommended.

You are fluent in Python and have ML and deployment experience
How to Sign Up

As an Individual

Sign up below to participate as an individual.

As a Team

Teams of up to 4 can sign up using the link below. If you have more than 4 people, reach out to us for further group discounts.

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

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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.
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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. 

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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