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AI For Business Leaders

Nanodegree Program

Formulate and evaluate proposals grounded in first principles when assessing opportunities to embed machine learning and artificial intelligence into a corporate strategy.

Formulate and evaluate proposals grounded in first principles when assessing opportunities to embed machine learning and artificial intelligence into a corporate strategy.

Intermediate

2 months

Real-world Projects

Completion Certificate

Last Updated March 13, 2024

Skills you'll learn:
Machine learning fluency • Beta testing • Machine learning dataset fundamentals • Machine learning system architectures
Prerequisites:
Basic descriptive statistics • Basic probability

Courses In This Program

Course 1 2 hours

Welcome to the AI for Business Leaders Executive Program

Welcome! You'll learn all about Udacity and what to expect while you work through your program.

Lesson 1

AI for Business Leaders Executive Program Introduction

Lesson 2

Introduction to AI for Business Leaders

This lesson provides an overview of the AI for Business Leaders Executive Program, and outlines its content. We introduce our instructors, and hear from AI experts on the importance of this program.

Lesson 3

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Course 2 2 months

AI for Business Leaders

The AI for Business Leaders program is designed for those looking to deepen their understanding of Artificial Intelligence and the innovations in the field of Machine Learning that have driven its recent progress. The program is designed to arm students with a deep but approachable knowledge of how these systems work and what it takes to put them into practice. Throughout the program, we’ll follow a fictitious retailer in order to gain practice in making discriminating judgements on what AI use cases might be best for a given business at a given point in time. In the final project, students will replicate this experience, applying a similar series of exercises to a business of their choosing.

Lesson 1

The Paradigm Shift

We’ll begin studying machine learning and artificial intelligence. You’ll develop an understanding of their potential and the language to talk about AI and ML with your team, and build your first model!

Lesson 2

The Math Behind The Magic

This lesson will take a deeper dive into AI and ML techniques using a data-first perspective. We’ll also explore the mathematical underpinnings of how ML models learn.

Lesson 3

Architectures of AI Systems

This lesson focuses on capabilities and architectures commonly used in ML/AI systems, and develops student skills with building these architectures, including the data, capabilities, and user layers.

Lesson 4

Working with Data

Machine Learning is a data-hungry process. In this lesson, we’ll talk about some of the more operational elements of building ML and AI systems, namely data labeling and infrastructure management.

Lesson 5

Accuracy, Bias, and Ethics

What does it mean for a model to be useful? In this lesson, we’ll explore topics like accuracy and precision as well as model overfit and underfit, to figure out ways to assess a model’s usefulness.

Lesson 6

Gathering Feedback

Building support for an AI/Machine Learning project is an important part of the journey. We’ll talk about best practices for clearly understanding the priorities of your business and communicating how AI/ML can help to advance them.

Lesson 7

Thinking Bigger

Many times, progress with ML/AI requires a business to execute several projects in parallel. In this lesson, we’ll talk about how to bring use cases together to form a greater whole.

Lesson 8 • Project

Delivering an ML/AI Strategy

In this project, you will apply all the skills you’ve learned in the lessons to develop a strategic ML/AI roadmap. You may choose to work on your own business, or in a fictitious context we provide.

Taught By The Best

Photo of Josh Bernhard

Josh Bernhard

Staff Data Scientist

Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.

Photo of Luis Serrano

Luis Serrano

Instructor

Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

Photo of William Ross

William Ross

Founder, Product Manager, & Corporate Development Leader

William Ross is an experienced investor in AI and ML, and previously worked with IBM's Watson group managing a variety of PM and corporate dev teams. Today, he is the co-founder of a Silicon Valley-based AI startup. He attended Stanford's Graduate School of Business.

Ratings & Reviews

Average Rating: 4.6 Stars

81 Reviews

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