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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/designing-autonomous-ai
课程评论：没有评论
课程名称：设计自主管理的人工智能（Designing Autonomous AI） 课程概述： 本课程通过分析儿童学习击球的过程，强调了在设计自主管理的人工智能（AI）时对复杂问题的拆解。学习者将学习如何把商业挑战分解成简单的任务，从而快速为AI提供解决方案的线索。课程指导学员创建一个自主AI设计计划，将领域专家（SME）的知识直接融入到AI的“大脑”中。学员将掌握如何在架构层面设计高级AI，而不必担心神经网络或机器学习算法的具体实现。 学习目标： - 采访领域专家，提取他们对系统或流程的独特知识 - 将强化学习与专家规则、优化和数学计算结合，构建AI“大脑” - 从模块化组件设计自主AI的大脑，以指导特定任务的学习过程 - 对大脑设计进行验证，以确保其与现有专业知识和解决问题的技术一致 - 编写详细的规格文档，帮助他人构建你的AI大脑 课程大纲： 第一部分：定义你的AI 学习目标：定义自主管理AI的目标和功能，类似于向他人解释游戏规则。 第二部分：教会你的AI技能 学习目标：了解如何提炼领域专家的知识，识别不同类型的技能并将其内置于AI大脑。 第三部分：在AI中组织技能 学习目标：学习两种技能组织范式，掌握三步框架以有效组织AI中的技能。 第四部分：将所有内容整合 学习目标：整合AI的定义、技能设定和设计模式，避免组织过程中的陷阱，创造多种大脑设计方案并在论坛分享。 此课程为“行业自主管理AI”（Autonomous AI for Industry）专项课程的一部分，将于2022年秋季推出。
Part: 1
Title:Defining your AI
Description:The first step in designing an autonomous AI is defining what your AI is going to do and what the goals are? Think about it like describing a game to someone. First you explain what the object of the game is, and then you describe the rules. In this module you'll learn how to do the same for your autonomous AI use case.
Part: 2
Title:Teaching Skills to your AI
Description:Autonomous AI brains are built from skills. Skills are “units of competence for completing tasks that have sub-goals associated with them.” This week you'll learn to outline the skills you want your autonomous AI brain to learn. First, you’ll identify three different types of skills that you can build into your brains. Then, you’ll learn a strategy that will help easily extract and document skills from subject matter experts you interview. Along the way we’ll look at some design patterns that you can use as templates to start your use case brain designs.
Part: 3
Title:Organizing Skills in your AI
Description:Now that you understand how to interview a subject matter expert and lay out all the skills that you want your AI to practice, you need to organize those skills in the brain. In this module you’ll learn two organizing paradigms for skills in autonomous AI, and a three-step framework for completing this orchestration. This week you’ll see some brain design patterns for example use cases, to help you with thinking about organizing your own use case brain design.
Part: 4
Title:Putting it All Together
Description:Now it's time to put it all together. You've defined your AI, you've identified a set of skills that you want to teach your AI and you've used brain design patterns in the paradigms of orchestration to snap those skills together in the right arrangement. There's a few pitfalls to orchestration that you should be aware of and you’ll have lots of opportunity to practice creating variations on brain designs for sample problems. Make sure to share your brain designs from the lab in the forum, so we can discuss them together and learn from each other.
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.
