Skills you'll learn:
Machine learning fluencyBeta testing
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.
Beginner
1 month
Last Updated November 6, 2024
Prerequisites:
Basic descriptive statisticsBasic probability
Beginner
1 month
Last Updated November 6, 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 • 1 month
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 implement them. Throughout the program, we’ll follow a fictitious retailer to gain practice in making discriminating judgments 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, and formulate a cohesive AI strategy for a fictitious organization.
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
Project: Delivering an ML / AI Strategy
Develop a Strategic ML / AI roadmap by evaluating key use cases for TeknoVe, a fictitious manufacturer of electric vehicles with global operations.
Taught By The Best
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.
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.
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: 4.5 Stars
89 Reviews
Nedislav N.
March 9, 2023
I am very pleased with the content of the program. It has a good degree of theoretical an practical steps and helped me aqcuire a deeper understanding of ML and AI Practices and Methods. Thank You!
Reham a.
February 22, 2023
Not as expected! It is triggering the way of how to think and analyze!
Ambapali P.
December 6, 2022
The program was great.
Viral P.
October 24, 2022
Excellent Program, created a lot of complexities and made me work hard to complete it.
Kevin M.
September 19, 2022
Good course overall and an awesome project!
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Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.
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