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Learner Reviews & Feedback for Machine Teaching for Autonomous AI by University of Washington

4.8
stars
39 ratings

About the Course

Just as teachers help students gain new skills, the same is true of artificial intelligence (AI). Machine learning algorithms can adapt and change, much like the learning process itself. Using the machine teaching paradigm, a subject matter expert (SME) can teach AI to improve and optimize a variety of systems and processes. The result is an autonomous AI system. In this course, you’ll learn how automated systems make decisions and how to approach designing an AI system that will outperform current capabilities. Since 87% of machine learning systems fail in the proof-concept phase, it’s important you understand how to analyze an existing system and determine whether it’d be a good fit for machine teaching approaches. For your course project, you’ll select an appropriate use case, interview a SME about a process, and then flesh out a story for why and how you might go about designing an autonomous AI system. At the end of this course, you’ll be able to: • Describe the concept of machine teaching • Explain the role that SMEs play in training advanced AI • Evaluate the pros and cons of leveraging human expertise in the design of AI systems • Differentiate between automated and autonomous decision-making systems • Describe the limitations of automated systems and humans in real-time decision-making • Select use cases where autonomous AI will outperform both humans and automated systems • Propose an autonomous AI solution to a real-world problem • Validate your design against existing expertise and techniques for solving problems This course is part of a specialization called Autonomous AI Fundamentals....

Top reviews

HM

Jun 22, 2022

Great first course to understand how to bridge the gap between expert knowledge and the power of reinforcement learning. Looking forward to courses that go deeper into the technology!

MP

Aug 28, 2022

It's a great starter course in Autonomous AI field. Thanks for all the help & support during the whole journey.

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1 - 17 of 17 Reviews for Machine Teaching for Autonomous AI

By Paul C

Jun 11, 2023

LIke most courses, the more you put in, the more you get out. The same is true here. Courses depending on peer review, depend on building a significant number of engaged participant's. If this doesn't occur, the peer review feedback is zero or next to useless. Unfortunately, this applies to this course.

I have bought at least one book by the author of this course and read a number research papers. So the ideas behind are great. In later courses there is some hands on work, using the Bonzai platform. However the necessary material has disappeared from the Bonsai platform, so ...

Some interesting ideas. I guess the number of students was insufficient to justify any expenditure on supporting the course.

By Teresa E

Jun 14, 2022

This course teaches you useful AI - how to use the skills of industrial operators to desing Autonomous AI brains that outperforms industrial processes, using Machine Teaching. It is taught using an engaging storytelling technique, full of real world examples where Machine Teaching has been applied to solve high business value problems. By the end of the course, you will know how to select winning use cases and how to apply Machine Teaching to design an Autonomous AI brain for your own use case.

By Kazim R M

Jan 29, 2023

This AI course was truly a game-changer for me! The instructor's teaching style was phenomenal, making even the most complex concepts easy to understand. Their enthusiasm for the subject was contagious, leaving me eager to learn more about AI every day. I would highly recommend this course to anyone looking to expand their knowledge in the field. The instructor's passion and expertise make this course an unforgettable experience.

By Lucas M

Feb 8, 2023

El curso es realmente de alta calidad y muy interesante, puedo decir que aprendí y estoy contento de haberlo tomado. Cumple con las características mencionadas y para un principiante como yo es perfecto para empezar. Las actividades son buenas y la modalidad autogestionada es muy cómoda. Realmente no siento que haya algo para mejorar, más allá de la disponibilidad de idioma

By Haseeb M

Oct 10, 2023

Well organized, well presented and gave me a totally new perspective on applicability of machine learning in complex industrial processes. Kence Anderson is a remarkably gifted teacher and made the whole course a joy to follow. He could even paraphrase others' so well and meaningfully in interviews just as well. Thank you for this opportunity.

By Heather M

Jun 23, 2022

Great first course to understand how to bridge the gap between expert knowledge and the power of reinforcement learning. Looking forward to courses that go deeper into the technology!

By Mayur P

Aug 29, 2022

It's a great starter course in Autonomous AI field. Thanks for all the help & support during the whole journey.

By Phil H

Jun 14, 2022

Very well structured and paced. Tackles some important topics with real life examples to back it up.

By Antony J

Apr 16, 2023

Wonderful course for AI particularly for Industry applications

By Carlos L

May 19, 2023

excellent methodology to learn, concrete a easy to understand

By Saeid V

Apr 24, 2023

Very informative and useful in applications.

By Gav M

Dec 30, 2023

Exceptional insight and knowledge transfer

By Rick S

Dec 21, 2022

These are world class. the best.

By Mojtaba M

Apr 5, 2023

VERY GOOD

By Günther J

Jan 27, 2023

very good

By tshepo m

Mar 30, 2023

Loved this course. Eye opening. It's going to be very fascinating how AI will shape our world in the next few months...

By Aqil S

Jun 11, 2022

its full of stories and interviews nothong to lllearn in this course i was expecting the best from university of washington but i am really disapointed after go through the complete course

its full of interviews and stories