Request More Information

Email:  WhatsApp:

koenig-logo
Login
phoneIcon +14129537506
koenig-logo

Ethics in AI and Data Science (LFS112) Course Overview

Ethics in AI and Data Science (LFS112) Course Overview

In this course you will learn about business drivers for AI, the ethical challenges and impacts of AI and Data Science, the business and societal dynamics at work in an AI world, the key principles for building responsible AI, and more. This course introduces some of the principles and frameworks that puts ethics and responsibility into practice in the data analytics profession. And offers practical approaches to technical, business and leadership dilemmas and challenges posed by work in AI and Data Science.

googleRating

5.0

Course Level Intermediate

c_newbnr_DeliverdSession
0 Delivered Sessions
c_newbnr_Trained-Professionals
0 Trained Professionals
c_newbnr_Hours-Duration
4 Hours Duration
c_newbnr_Training-Leadership
30+ Years of Training Leadership
c_newbnr_Expert-Instructors
Expert Instructors
c_newbnr_global-training-network
Global Training Network
c_newbnr_flexiblelearingOptions
Flexible Learning Options
c_newbnr_InnovativeLearningMethods
Innovative Learning Methods
c_newbnr_corporateTrainingexellance
Corporate Training Excellence

Purchase This Course

Fee On Request

♱

  • Live Training (Duration : 4 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
  • Select Date
    date-img
  • CST(united states) date-img

Select Time


Happiness Guaranteed

  • Live Training (Duration : 4 Hours)

Filter By:

Online Class Room

Koeing Learning Stack*

Koeing Learning Stack
Koeing Learning Stack

Scroll to view more course dates

*Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Happiness Guaranteed

Request for more information

Ethics in AI and Data Science (LFS112)

Request for more information

Ethics in AI and Data Science (LFS112)

Email:  Whatsapp:

Suggested Courses

What other information would you like to see on this page?
USD

Koenig Learning Stack

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs