Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore data security practices for AI-powered agents in this 12-minute video featuring Google Cloud experts. Learn about Google's Secure AI Framework (SAIF), best practices for securing AI deployments, and how to build an input and output parser using Sensitive Data Protection. Watch a demonstration of Large Language Models in action and gain insights from a Cloud Security Architect's experience supporting Google Cloud customers in deploying AI. Discover how to leverage the power of large language models for coding, operations tasks, and pattern matching while addressing concerns about exposing sensitive data. Access additional resources, including a full report on building AI securely on Google Cloud and a GitHub repository for creating your own input and output parser using Sensitive Data Protection.
Syllabus
- Intro
- Google’s commitment to AI security
- What is Sensitive Data Protection?
- Demo: Large Language Models in action
- Interview with Jim Miller
- Wrap up
Taught by
Google Cloud Tech