Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.


Artificial Intelligence Algorithms Models and Limitations

LearnQuest via Coursera


We live in an age increasingly dominated by algorithms. As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. In this course, we will explore the rise of algorithms, from the most basic to the fully-autonomous, and discuss how to make them more ethically sound.


  • Getting Started: Algorithms
    • Welcome to the course! We're going to get started with an overview of the course structure as well as an introductory look at the world of algorithms
  • AI and Model Outcomes
    • This week, we are going to dive into predictive modeling the core differences in theory and practice
  • Rules for AI: training and constraints
    • This week we are going to focus on machine learning accuracy and training guidelines in the quest for more accurate and ethical models
  • Ethical AI: Cause and Effect
    • In our final week, we're going to ask some big questions about where all this predictive intelligence leads. We will discuss the trajectory of artificial intelligence and the broader implications for society as well

Taught by

Brent Summers and Sabrina Moore


4.7 rating at Coursera based on 134 ratings

Start your review of Artificial Intelligence Algorithms Models and Limitations

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.