Privacy and Compliance in the Age of GenAI: Data Governance, Classification, and Inventory

Course details

In this course, Nishant Bhajaria—a privacy and security leader and a digital product architect—shows you how to build a data governance strategy to help accelerate innovations in genAI. Find out how to classify data based on collection methodology, use cases, business value and privacy. Then learn how to define tags to affix to the data, so that you can map data protection controls on an ongoing basis to your data. Plus, explore hands-on opportunities to practice data classification and data inventory, to equip yourself with job-ready skills. This course helps you build a thorough understanding of how to catalog and inventory your data.

This course includes AI-powered Role Play. Role Play allows you to practice what you’ve learned in interactive simulations of real-world conversations.

Learning objectives
Build a front-loaded data governance strategy so that data can be protected early and efficiently.
Partner across the organization to classify data based on use and risk.
Define dynamic and descriptive tags that can attach to the data.
Map data protection controls to data.
Apply data governance to help accelerate GenAI innovation.

Concepts

0. Introduction

01 - Data governance in the GenAI era
02 - Who this course is for

1. Data Governance in the Age of GenAI

03 - The state of privacy regulation
04 - The state of AI regulation
05 - Why data governance is critical for your business
06 - Data classification as part of data governance
07 - Data inventory as part of data governance

2. Data Classification

08 - Data classification and regulations
09 - Data classification and business needs
10 - Data classification as a cross-functional endeavor
11 - Data classification in the age of GenAI
12 - Challenge - A data classification question
13 - Solution - A data classification solution

3. Data Classification - Obstacles and Opportunities

14 - Challenges of data classification
15 - Solutions for data classification
16 - Thought experiment - A sequential data classification

4. Data Inventory - Building Your Baseline

17 - What is data inventory
18 - Data inventory and data governance
19 - How can you prepare for data inventory

5. Data Inventory - Building Your Systems

20 - Data inventory using manual resources and automation
21 - Technical implementation of data inventory
22 - Data inventory architecture
23 - Data inventory metadata

6. Data Inventory - Optimizing Your Systems

24 - Centralized vs. decentralized
25 - Data inventory successes
26 - Data inventory challenges
27 - Getting executive buy-in for data inventory

Conclusion

28 - Next steps