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Avis et commentaires pour d'étudiants pour Designing Autonomous AI par Université de Washington

À propos du cours

When children learn how to hit a baseball, they don’t start with fastballs. Their coaches begin with the basics: how to grip the handle of the bat, where to put their feet and how to keep their eyes on the ball. Similarly, an autonomous AI system needs a subject matter expert (SME) to break a complex process or problem into easier tasks that give the AI important clues about how to find a solution faster. In this course, you’ll learn how to distill a business challenge into its component parts by creating an autonomous AI design plan. Using lessons, goal setting, skills, strategies and rewards, you’ll incorporate your SME’s knowledge directly into your AI’s “brain,” the agent that powers your autonomous system. You'll learn when and how to combine various AI architecture design patterns, as well as how to design an advanced AI at the architectural level without worrying about the implementation of neural networks or machine learning algorithms. At the end of this course, you’ll be able to: • Interview SMEs to extract their unique knowledge about a system or process • Combine reinforcement learning with expert rules, optimization and mathematical calculations in an AI brain • Design an autonomous AI brain from modular components to guide the learning process for a particular task •. Validate your brain design against existing expertise and techniques for solving problems • Produce a detailed specifications document so that someone else can build your AI brain This course is part of a specialization called Autonomous AI for Industry, which will launch in fall 2022....
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1 - 4 sur 4 Avis pour Designing Autonomous AI

par Rob B

20 juil. 2022

In 2014, I took a course in Machine Learning, but could not find any applications for it. Recently, I discovered the course Machine Teaching for Autonomous AI, which fascinated me greatly. Recently, I completed the follow-up course Designing Autonomous AI. It is now clear to me how to apply AI. Kence Anderson is the course instructor, who knows how to captivate me with his lectures. He designed the course and boasts a lot of experience with Autonomous AI. Thank you Kence. I plan to take your remaining two courses as well.

par Manu F

23 juin 2022

Excellent course!

This course builds on concepts from Course 1(Machine Teaching) and explains much needed foundational concepts to eventually design a AI Brain. Kence continues to demonstrate his passion through simple examples. The Course will enable you to think how Machine Teaching can be the art of the possible for Industrial day to day solutions and Operation Research based problems with an Open Mind. Thanks to Coursera for providing this platform to enable me to learn.

par Teresa E

14 juin 2022

This course teaches how to design Autonomous AI brains using Machine Teaching for winning use cases. By the end of this course, you'll know how to ask the righ questions to subject matter experts to fill out the AI specification document for a use case of your choice. The AI spec is an efficent communication tool for all stakeholders including industrial expert operators, business owners and Autonomous AI brain builders.

par Patrick M

6 juil. 2022

Well put and paced.

I took the 2nd course not realising the honors course material is serialized from course 1. Now, i have to backtrack.

My only request is there should be a guide indicating this.