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Instructor
Dr. Kevin Hill, Instructor - AI for Executives

Dr. Kevin Hill

Has a Ph.D. in Cognitive Neuroscience. His experience spans on various domains such as: computer vision, advanced analytics - BI, step and sleep tracking, recommendation engines, natural language processing, and deep learning. He consulted within the space of data strategy / digital transformation, data science projects, and education.
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Instructor: Dr. Kevin Hill

How AI Will Change Your Business

  • This course is geared towards non-technical executives.
  • Learn the skills needed for AI.
  • Instructor has a Ph.D. in Cognitive Neuroscience.

Duration: 1h 16m

Course Description

The goal of this course is to give non-technical decision makers, especially executives, the tools they need to understand how AI will impact their business. To do that, we start with a 30k ft view of the concepts driving AI, and then apply those concepts to a suite of common use cases across a number of verticals. We finish with some practical advice for people looking to build data science teams.

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What am I going to get from this course?

  • Understand why AI now?
  • Understand the data as the lifeblood of AI
  • Understand the lifecycle of an algorithm
  • Understand how to optimize for the right thing
  • Build successful feedback loops
  • Understand Machine Learning Models
  • Learn the skills needed for AI   

Prerequisites and Target Audience

What will students need to know or do before starting this course?

None

Who should take this course? Who should not?

This course is geared towards non-technical people, specially executives.

Curriculum

Module 1:

Lecture 1 Why AI Now?

Module 2:

Lecture 2 Data as the Lifeblood of AI

Module 3:

Lecture 3 The Lifecycle of an Algorithm 1
Lecture 4 The lifecycle of an Algorithm 2
Lecture 5 The Lifecycle of an Algorithm 3

Module 4:

Lecture 6 Optimizing for the Right Thing 1
Lecture 7 Optimizing for the Right Thing 2

Module 5:

Lecture 8 Building AI as a Business Process

Module 6:

Lecture 9 Basics of Machine Learning Models
Lecture 10 Basics of Machine Learning Models Continued

Module 7:

Lecture 11 Use Case Part 1: AI Understanding People
Lecture 12 Use Case Part 1: AI Understanding People Continued

Module 8:

Lecture 13 Use Case Part 2: AI Scaling Impact

Module 9:

Lecture 14 The Skills Needed for AI

Module 10:

Lecture 15 Accelerated Computing

Module 11:

Lecture 16 Data Science Frameworks