Instructor for this course
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You have probably been pulled into a conversation about Artificial Intelligence or Machine Learning. Sitting in that meeting, have you found yourself thinking that something is off? What is the magic behind it? Are there regulatory and ethical implications? What’s the real pay-off?

If so, this course is for you. Become an AI guru – by understanding what makes AI tick. The weird thing is that many AI teams are great with math and software but have less experience with the context. You can become the “smartest person in the room” by bringing key insights to your team.

This course will share the origin story of AI, 4 aspects that make AI awesome, 4 that are hazardous and then empower you with critical and even technical questions to ask of your team. Plus, insights you can share to help business leaders make better decisions, satisfy more customers and grow your personal impact.

Learning Objectives

  • Discover and understand what Artificial Intelligence and machine learning are and are not.
  • Identify and know how to flag problems and nudge AI projects back on course.
  • Recognize 4 aspects that can make awesome AI applications.
  • Recognize 4 hazards of AI applications.
  • Discover and understand what causes AI projects to go astray.
Last updated/reviewed: February 07, 2021

2 Reviews (4 ratings)Reviews

5
Member's Profile
Great introduction to the principles and processes involved in AI-related business project management. Provides senior leaders and board members with a solid overview of what questions to ask cross-silo managers and project leads, ensuring that everyone understands the 'why' and then the 'how'.
5
Anonymous Author
I appreciate the distinction made between A1, Machine Learning, and Deep Learning.

Prerequisites

Course Complexity: Foundational

No advanced preparation or prerequisites are required for this course.

Education Provider Information

Company:
Illumeo, Inc., 75 East Santa Clara St., Suite 1215, San Jose, CA 95113
Contact:
For more information regarding this course, including complaint and cancellation policies, please contact our offices at (408) 400- 3993 or send an e-mail to .
Course Syllabus
INTRODUCTION AND OVERVIEW
  2:36Introduction to Artificial Intelligence: When it is Awesome and When it is Hazardous
  10:05What is Artificial Intelligence (AI)?
  9:56Applications of AI-Be Awesome Avoid Hazards
  7:16Critical Questions You can Ask
  10:18Steps to Shrinking Your AI Problem to Data Gap
  1:50Summary
CONTINUOUS PLAY
  42:01Artificial Intelligence: When it is Awesome and When it is Hazardous
SUPPORTING MATERIAL
  PDFSlides: Artificial Intelligence: When it is Awesome and When it is Hazardous
  PDFArtificial Intelligence: When it is Awesome and When it is Hazardous Glossary/ Index
REVIEW AND TEST
  quizREVIEW QUESTIONS
 examFINAL EXAM