Introduction to Responsible AI in Practice (IRAP)

 

Course Overview

The development of AI has created new opportunities to improve the lives of people around the world, from business to healthcare to education. It has also raised new questions about the best way to build fairness, interpretability, privacy, and safety into these systems.

In this course, you will do a high-level exploration of Google's recommended best practices for responsible AI usage across different areas of focus: Fairness, Interpretability, Privacy and Safety. Along the way, you will learn how you can leverage different open-source tools and tools on Vertex AI to explore these concepts and spend time considering the different challenges that arise with generative AI.

Who should attend

Machine learning practitioners and AI application developers wanting to leverage generative AI in a responsible manner.

Prerequisites

To get the most out of this course, participants should have:

  • Familiarity with basic concepts of machine learning
  • Familiarity with basic concepts of generative AI on Google Cloud in Vertex AI

Course Objectives

  • Overview of Responsible AI principles and practices
  • Implement processes to check for unfair biases within machine learning models
  • Explore techniques to interpret the behavior of machine learning models in a human-understandable manner
  • Create processes that enforce the privacy of sensitive data in machine learning applications
  • Understand techniques to ensure safety for generative AI-powered applications

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • on request
Classroom Training

Duration
1 day

Price
  • on request

Schedule

Spanish

5 hours difference

Online Training Time zone: Argentina Time (ART)
Online Training Time zone: Chile Standard Time (CLT)
Online Training Time zone: Argentina Time (ART)
Online Training Time zone: Chile Standard Time (CLT)

7 hours difference

Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Colombia Time (COT)
Online Training Time zone: Peru Time (PET)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Colombia Time (COT)
Online Training Time zone: Peru Time (PET)

8 hours difference

Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Central Standard Time (CST)
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom. All FLEX courses are also Instructor-led Online Trainings (ILO).

Europe

Italy

Milan
This is a FLEX course, which is delivered both virtually and in the classroom. All FLEX courses are also Instructor-led Online Trainings (ILO).