Chevron Left
返回到 Designing Autonomous AI

学生对 华盛顿大学 提供的 Designing Autonomous AI 的评价和反馈

课程概述

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....
筛选依据：

1 - Designing Autonomous AI 的 2 个评论（共 2 个）

创建者 Manu F

•

Jun 23, 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.

创建者 Teresa E

•

Jun 14, 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.

Coursera Footer

开拓职业生涯或促进职业发展

浏览热门主题

热门课程和文章

在线获得学位或证书

Coursera

社区

更多

随时随地学习
通过 App Store 下载通过 Google Play 获取
Placeholder