Offert par

Université de Washington

Microsoft

Machine Teaching for Autonomous AI

Université de Washington

À propos de ce cours

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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 building 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 building 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 for Industry, which will launch in fall 2022.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Certificat partageable

Obtenez un Certificat lorsque vous terminez

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Niveau débutant

Familiarity with engineering concepts like robotics and manufacturing is helpful but not required.

Approx. 12 heures pour terminer

Anglais

Sous-titres : Anglais

Ce que vous allez apprendre

You’ll select a use case where autonomous AI can outperform traditional methods—setting the foundation for designing and building an autonomous AI.

Compétences que vous acquerrez

Machine Learning
Decision-Making
Intelligent Design
Innovation
AI Design

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Certificat partageable

Obtenez un Certificat lorsque vous terminez

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Niveau débutant

Familiarity with engineering concepts like robotics and manufacturing is helpful but not required.

Approx. 12 heures pour terminer

Anglais

Sous-titres : Anglais

Enseignant

Kence Anderson

Director, Autonomous AI Adoption

Microsoft

349 étudiants

1 cours

Offert par

Université de Washington

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.

Microsoft

Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.

In this next revolution of digital transformation, growth is being driven by technology. Our integrated cloud approach creates an unmatched platform for digital transformation. We address the real-world needs of customers by seamlessly integrating Microsoft 365, Dynamics 365, LinkedIn, GitHub, Microsoft Power Platform, and Azure to unlock business value for every organization—from large enterprises to family-run businesses. The backbone and foundation of this is Azure.

Programme de cours : ce que vous apprendrez dans ce cours

Semaine

Semaine 1

2 heures pour terminer

An Introduction to Autonomous AI & Machine Teaching

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.

2 heures pour terminer

5 vidéos (Total 36 min), 9 lectures

5 vidéos

0.1 – Specialization Preview: A glimpse at what you'll learn2 min

0.2 – Who is this specialization for?7 min

0.3 – What will you encounter in this course?6 min

1.1 – Real Life Examples of Autonomous AI11 min

1.4 – The Teacher's Mindset7 min

9 lectures

0.4 – The Instructional Team10 min

Course Glossary5 min

Course Resources5 min

Discussion Forum > Introduce Yourself10 min

Course Map10 min

1.2 – Explore the Basics of Autonomous Systems14 min

1.3 – Your Mindset Profile 10 min

Discussion Forum > Share Your Mindset10 min

1.5 – Autonomous AI Demos: Would you like to play a game?10 min

Semaine

Semaine 2

3 heures pour terminer

Analyzing the Problem

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.

3 heures pour terminer

9 vidéos (Total 74 min), 2 lectures, 2 quiz

9 vidéos

2.1 – The "Skills Gap"13 min

2.1a – Autonomous AI in Action: The invisible line on the balance sheet4 min

2.2 – The Value of the Problem6 min

2.2a – Autonomous AI in Action: The devastating effect of downtime1 min

2.3 – An Introduction to Math, Menus, & Manuals3 min

2.3a – Math – Making Predictable Decisions with Control Theory14 min

2.3b – Menus - Searching for the Right Decision with Optimization Algorithms15 min

2.3c – Manuals - The Human Factor in Expert Rules and High Stakes Decisions8 min

2.5 – Interviewing Skills: The teacher's toolset7 min

2 lectures

Discussion Forum > The Skills Gap10 min

2.5a – Structured Interview Questions5 min

1 exercice pour s'entraîner

2.4 – Math, Menus, Manuals30 min

Semaine

Semaine 3

3 heures pour terminer

Learning the Solution

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.

3 heures pour terminer

6 vidéos (Total 79 min)

6 vidéos

3.1 – Machine Learning - Algorithms that can learn11 min

3.1a – Autonomous AI in Action: Curve fitting with WOOD6 min

3.2 – Deep Reinforcement Learning – Learning by trial & error24 min

3.3 The Role of Strategy22 min

3.4 – Machine Teaching – The superpowers of autonomous AI6 min

3.4a – Autonomous AI in Action: Listening to machines with NOV6 min

2 exercices pour s'entraîner

3.3b – Applications for Automated & Autonomous Systems20 min

3.5 – The Human Factor: Evaluating autonomous AI scenarios15 min

Semaine

Semaine 4

4 heures pour terminer

Storytelling

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.

4 heures pour terminer

5 vidéos (Total 24 min), 2 lectures, 1 quiz

5 vidéos

4.1 – The Value of Storytelling in Autonomous AI3 min

4.1a – Autonomous AI in Action: Building a drone laboratory at Bell Flight9 min

4.3a – Autonomous AI in Action: A story of process improvement at PepsiCo2 min

4.3b – Autonomous AI in Action: 'The internet of REALLY OLD things' 3 min

4.4 – Components of Storytelling5 min

2 lectures

4.2 – How to Structure Your Story25 min

Discussion Forum > Persuasive Stories10 min

Foire Aux Questions

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Machine Teaching for Autonomous AI

Machine Teaching for Autonomous AI