University of Washington
Machine Teaching for Autonomous AI
University of Washington

Machine Teaching for Autonomous AI

Taught in English

Some content may not be translated

3,790 already enrolled


Gain insight into a topic and learn the fundamentals

Kence Anderson

Instructor: Kence Anderson


(39 reviews)

Beginner level

Recommended experience

11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • You’llbe able to select a use case where autonomous AI can outperform traditional methods—setting the foundation for designing an autonomous AI.

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There are 4 modules in this course

This module lays the foundation for this course and the entire specialization. You'll learn what makes autonomous AI different from other forms of artificial intelligence. You're invited to take a behind the scenes look at some organizations using autonomous AI and hear from operators and managers about the benefits they're realizing by harnessing autonomous AI. The focus will then transition to you! You'll explore five different mindset profiles that describe different approaches to building AI systems.

What's included

5 videos8 readings

Not all problems are right for an autonomous AI solution. In this module, we explore types of automated systems and their strengths and limitations for various issues. You'll learn how to determine whether a problem needs a solution that goes beyond automated systems and into useful AI.

What's included

9 videos2 readings1 quiz1 peer review

In the last module we looked at "automated" systems (math, menus, and manuals); examining situations where they excel and understanding their limitations. In this module we'll focus on "autonomous" systems such as: machine learning (ML), reinforcement learning (RL), neural networks (NN) and deep reinforcement learning (DRL); assessing both the strengths and weaknesses of each autonomous system. Lastly you'll see how "machine teaching" can tap into the strengths of all the automated and autonomous systems.

What's included

6 videos2 quizzes1 peer review

Wondering what has storytelling has got to do with AI? Good storytelling is a tool of persuasion. Dry facts and data are not as compelling as persuasion arguments. In the real world someone has to fund the development of your autonomous AI design, and you need to tell that person a persuasive story.

What's included

5 videos2 readings1 peer review


Instructor ratings
4.6 (13 ratings)
Kence Anderson
University of Washington
3 Courses5,039 learners

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