Practical AI for Social Impact

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Practical AI for Social Impact

This course is part of Realizing AI for Social Impact Specialization

Instructor: Elizabeth Bondi-Kelly

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Explain the foundational concepts of real-world modeling that influence which AI techniques we can use in AI for social impact scenarios
Describe several AI algorithmic techniques frequently used in AI for social impact, and when they are used
Identify practical considerations when deploying these algorithms

Skills you'll gain

Tools you'll learn

Model Deployment

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This course is part of the Realizing AI for Social Impact Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 2 modules in this course

Gain a foundational understanding of key AI algorithms and build valuable skills highly sought after in tech and social impact fields. "Practical AI for Social Impact" introduces you to algorithms, including machine learning and reinforcement learning, with additional topics and resources referenced throughout the course.

Crucially, this course also addresses special challenges in implementing AI for social impact. Throughout the course, we’ll discuss how to navigate data scarcity, bias, and ethical deployment in real-world communities. Case studies will explore potential scenarios with sequential, adaptive decisions, helping you approach new situations with tact and knowledge. By the end of the course, you’ll have developed skills highly sought after in tech and nonprofit sectors, empowering you to optimize resource distribution and drive systemic change at scale. This is the second course in the three-course series, "Realizing AI for Social Impact", where you will explore use cases and frameworks for deploying AI to achieve social impact.

In this module, you will learn about different kinds of real-world scenarios that might arise and how we have to model them in order to apply AI.

What's included

2 videos5 readings2 assignments

2 videosTotal 11 minutes

Mapping from the Real World to Task Environments3 minutes
Types of Task Environments8 minutes

5 readingsTotal 46 minutes

Meet Your Instructor1 minute
Syllabus10 minutes
Pre-Course Survey10 minutes
Task Environments to AI Techniques10 minutes
AI Technique Examples15 minutes

2 assignmentsTotal 35 minutes

Module 1 Quiz15 minutes
Map Out Task Environments20 minutes

You will explore the fundamentals of machine learning as they relate to AI for social impact. Building on this foundation, you will expand your AI toolbox to address scenarios where decisions must be made continuously, not just once. These concepts will be introduced through relatable case studies designed that you might relate to.

What's included

5 videos9 readings2 assignments

5 videosTotal 31 minutes

Mapping from Task Environments to Machine Learning4 minutes
Machine Learning8 minutes
Special Challenges in Machine Learning for Social Impact5 minutes
Reinforcement Learning8 minutes
Special Challenges in Reinforcement Learning for Social Impact7 minutes

9 readingsTotal 90 minutes

Introductory Concepts for Machine Learning10 minutes
Linear Classification Introduction10 minutes
Where to Learn More: Machine Learning10 minutes
Case Study 1: Deploying Machine Learning for Healthcare10 minutes
Introductory Concepts for Reinforcement Learning10 minutes
Where to Learn More: Reinforcement Learning10 minutes
Case Study 2: Human-AI Considerations for Public Health10 minutes
Post Course Survey10 minutes
Keep Learning with Michigan Online10 minutes

2 assignmentsTotal 25 minutes

Module 2 Quiz15 minutes
Identify the AI Technique10 minutes

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Instructor

Elizabeth Bondi-Kelly

University of Michigan

0 Courses0 learners

Offered by

University of Michigan

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