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Decoding AI: A Deep Dive into AI Models and Predictions

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Decoding AI: A Deep Dive into AI Models and Predictions

This course is part of multiple programs.

Instructor: Elle O'Brien

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

26 reviews

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

26 reviews

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Learn key concepts and terminology in artificial intelligence (AI), including machine learning, generative AI, and deep learning
Learn the core components of machine learning systems, including data, models, and evaluation techniques
Recognize why AI systems can fail and identify the kinds of work required to make useful technology
Identify common pitfalls in conversations about AI and recognize conflicts of interest when interpreting claims about AI systems

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

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Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

Decoding AI: A Deep Dive into AI Models and Predictions explores the significance of large datasets, demystifies generative artificial intelligence (AI), and challenges common media myths about AI. By defining key terms and exploring how systems “learn” from data, you will gain a baseline understanding of how AI works. Work to understand different critiques of AI narratives, learn to navigate conversations with precision, discern conflicts of interest, and appreciate the multidisciplinary expertise needed to shape AI's impact on society. This course provides you with the strategies and frameworks to engage in better conversation about the role of AI in your work and beyond.

Module details

What's included

7 videos5 readings1 assignment1 discussion prompt

7 videosTotal 52 minutes

Welcome to What Does "Artificial Intelligence" Really Mean?2 minutes
How Did We Get Here? One AI Origin Story11 minutes
Artificial Intelligence Terminology13 minutes
Part I: How Does a Machine "Learn"? 6 minutes
Part II: How Does a Machine "Learn"? 5 minutes
What is Generative AI?10 minutes
A Lens to Take With Us6 minutes

5 readingsTotal 29 minutes

Meet Your Instructor3 minutes
Course Syllabus10 minutes
Help Us Learn About You 10 minutes
Module 1 Suggested Readings5 minutes
Module 1 Bibliography1 minute

1 assignmentTotal 60 minutes

Module 1 Practice Quiz60 minutes

1 discussion promptTotal 10 minutes

Meet Your Fellow Global Learners10 minutes

What's included

6 videos2 readings1 assignment

6 videosTotal 55 minutes

Introduction to How Do Machine Learning Systems Work1 minute
Ingredients of Machine Learning Part I: Data14 minutes
Ingredients of Machine Learning Part II: Models9 minutes
Ingredients of Machine Learning Part III: Evaluation12 minutes
How Do We Know if a Machine Learning System is Useful?11 minutes
More Usefulness Questions10 minutes

2 readingsTotal 15 minutes

Module 2 Suggested Readings5 minutes
Module 2 Bibliography10 minutes

1 assignmentTotal 60 minutes

Module 2 Ungraded Quiz60 minutes

What's included

5 videos2 readings1 assignment

5 videosTotal 48 minutes

Introduction to Putting AI Into Practice1 minute
The Why in AI12 minutes
Case Study: Predicting Sepsis15 minutes
Case Study: The Fragile Families Study9 minutes
Does the Model Match the Problem?11 minutes

2 readingsTotal 15 minutes

Module 3 Suggested Readings5 minutes
Module 3 Bibliography10 minutes

1 assignmentTotal 60 minutes

Module 3 Ungraded Quiz60 minutes

What's included

5 videos3 readings2 assignments1 discussion prompt

5 videosTotal 55 minutes

Introduction to How to Have Better Conversations About AI1 minute
Why is Talking About AI So Hard?12 minutes
What Can Go Wrong Telling Stories About AI?17 minutes
Avoid Thought-terminating Cliches13 minutes
Course Recap: Decoding AI12 minutes

3 readingsTotal 16 minutes

Module 4 Suggested Readings5 minutes
Module 4 Bibliography1 minute
Post-Course Survey10 minutes

2 assignmentsTotal 120 minutes

Comprehensive Course Exam60 minutes
Module 4 Ungraded Quiz60 minutes

1 discussion promptTotal 10 minutes

Reflect and Respond to a News Story10 minutes

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Instructor

Instructor ratings

(5 ratings)

Elle O'Brien

University of Michigan

10 Courses9,816 learners

Offered by

University of Michigan

Decoding AI: A Deep Dive into AI Models and Predictions

Decoding AI: A Deep Dive into AI Models and Predictions

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise

There are 4 modules in this course

Welcome, Introduction and What Does "Artificial Intelligence" Really Mean?

What's included

How Do Machine Learning Systems Work?

What's included

The Limits of Data and Prediction

What's included

How to Have Better Conversations About AI

What's included

Earn a career certificate

Instructor

Offered by

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Frequently asked questions

When will I have access to the lectures and assignments?

What will I get if I subscribe to this Specialization?

Is financial aid available?

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