Demystifying AI, Understanding Risks, and Shaping the Future

Member Price: $499.00
Non-Member Price: $549.00

Course Description 

In this course, learners will learn how to create engaging data stories by contradicting common perceptions. They will use data analysis and AI prompts using Chat GPT to produce effective data stories and justify why AI makes these data stories more effective. This is an asynchronous, self-paced course with no live instructor. The schedule is flexible and allows learners to complete coursework and assignments at their own pace and time. The course includes quizzes and knowledge checks. 

 

Note: You will also receive a course completion certificate from Purdue University upon submitting the module quizzes with an 80% completion score.

 

Learning Outcomes

At the end of this course, you should be able to:

  • Identify how data stories should surprise, and provide a new, more convincing explanation for time-worn ideas.
  • Review current-voltage behavior of p-n junction diodes
  • Distinguish between direct and indirect bandgap semiconductors

 

Course Schedule and Duration

Below is the course schedule. It is recommended that you work through one module per week. The entire course is estimated to take 15 hours to complete. Each module is estimated to take 15-18 hours to complete. Note: Quizzes are mandatory, and assignments and discussions are optional. * Schedules & assignments are subject to change. Any change will be posted in Brightspace.

 

Target Audience

Sales engineers/business development executives, college students, and anyone interested in learning more about AI's risks and shaping the future.

 

Module

Topic & Readings

Assignments

  • History of AI

Readings

  • Roots of Artificial Intelligence, Mitchell – Chapter 1
  • Neural Networks and the Ascent of Machine Learning, Mitchell-Chapter 2

Videos

  • Intro to the Course
  • A Brief History of Air
  • Springtime for AI

Module 1 Quiz

  • A Crash Couse on Deep Learning

Readings

  • Who, What, When, Where, Why, Mitchell – Chapter 4
  • Convnets and Imagenet, Mitchell-Chapter 5

Videos

  • The Victory of Deep Learning
  • What are neural networks?
  • Gradient descent, how neural network learn
  • Object Identification Activity
  • Translation Activity
  • Module 2 Quiz

3 – The Singularity and Other Speculative Fears

Readings

  • Past Developments & Present Capabilities, Bostorm – Chapter 1
  • Convnets and Imagenet, Mitchell-Chapter 5

Videos

  • Nick Bostrom: What happens when our computers get smarter than we are?
  • Superintelligence
  • The Value Alignment Problem

Quiz 7, 8, 9

4 – The Singularity and Other Speculative Fears

Readings

Age of Surveillance Capitalism, Zuboff- Chapter 1

Weapons of Math Destruction O’Neil – Chapter 1

Future of the Professors, Susskind & Susskind-Preface and Chapter 1

Videos

Social Control in the Age of AI

Mad Man Pitch

WSJ Interview with Satya Nadella

Fakebook’s Social Contagion Experiment

China’s Social Credit System

Bureaucracy in the Age of AI

Moneyball Clips 1,2,3

Housing Crash

College Rankins

Working in the Age of AI

Can Generative AI replace me

Course Summary

 

Quiz 7, 8, 9


 

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