Este curso forma parte de Programa especializado: Autonomous AI for Industry

4.7
estrellas
22 calificaciones

Kence Anderson

3058 ya inscrito

Ofrecido Por

Programa especializado: Autonomous AI for IndustryUniversidad de Washington

Acerca de este Curso

8723 vistas recientes

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.

Fechas límite flexibles

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Certificado para compartir

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100 % en línea

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Curso 1 de 3 en

Programa especializado: Autonomous AI for Industry

Nivel principiante

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

Aprox. 11 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Qué aprenderás

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

Habilidades que obtendrás

Machine Learning
Decision-Making
Intelligent Design
Innovation
AI Design

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 1 de 3 en

Programa especializado: Autonomous AI for Industry

Nivel principiante

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

Aprox. 11 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Instructor

Calificación del instructor

4,5/5 (8 calificaciones)

Kence Anderson

Director, Autonomous AI Adoption

Microsoft

4059 alumnos

3 cursos

Ofrecido por

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.

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Programa - Qué aprenderás en este curso

Semana1

Semana 1

2 horas para completar

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 horas para completar

5 videos (Total 36 minutos), 7 lecturas

5 videos

0.1 – Specialization Preview: A glimpse at what you'll learn2m0.2 – Who is this specialization for?7m0.3 – What will you encounter in this course?6m1.1 – Real Life Examples of Autonomous AI11m1.4 – The Teacher's Mindset7m

7 lecturas

Discussion Forum | Introduce Yourself10m0.4 – The Instructional Team10mGlossary & Course Map10mCourse Resources5m1.2 – Explore the Basics of Autonomous Systems14m1.3 – Your Mindset Profile 10mDiscussion Forum | Share Your Mindset10m

Semana2

Semana 2

3 horas para completar

Analyzing the Problem

3 horas para completar

9 videos (Total 74 minutos), 2 lecturas, 2 cuestionarios

9 videos

2.1 – The "Skills Gap"13m2.1a – Autonomous AI in Action: The invisible line on the balance sheet4m2.2 – The Value of the Problem6m2.2a – Autonomous AI in Action: The devastating effect of downtime1m2.3 – An Introduction to Math, Menus, & Manuals3m2.3a – Math – Making Predictable Decisions with Control Theory14m2.3b – Menus - Searching for the Right Decision with Optimization Algorithms15m2.3c – Manuals - The Human Factor in Expert Rules and High Stakes Decisions8m2.5 – Interviewing Skills: The teacher's toolset7m

2 lecturas

Discussion Forum | The Skills Gap10mJOB AID | Structured Interview Questions5m

1 ejercicio de práctica

Graded Quiz | Math, Menus, Manuals30m

Semana3

Semana 3

3 horas para completar

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 horas para completar

6 videos (Total 79 minutos)

6 videos

3.1 – Machine Learning - Algorithms that can learn11m3.1a – Autonomous AI in Action: Curve fitting with WOOD6m3.2 – Deep Reinforcement Learning – Learning by trial & error24m3.3 The Role of Strategy22m3.4 – Machine Teaching – The superpowers of autonomous AI6m3.4a – Autonomous AI in Action: Listening to machines with NOV6m

2 ejercicios de práctica

Graded Quiz | Applications for Automated & Autonomous Systems20mGraded Quiz | The Human Factor: Evaluating autonomous AI scenarios15m

Semana4

Semana 4

4 horas para completar

Storytelling

4 horas para completar

5 videos (Total 24 minutos), 2 lecturas, 1 cuestionario

5 videos

4.1 – The Value of Storytelling in Autonomous AI3m4.1a – Autonomous AI in Action: Building a drone laboratory at Bell Flight9m4.3a – Autonomous AI in Action: A story of process improvement at PepsiCo2m4.3b – Autonomous AI in Action: 'The internet of REALLY OLD things' 3m4.4 – Components of Storytelling5m

2 lecturas

4.2 – How to Structure Your Story25mDiscussion Forum | Persuasive Stories10m

Reseñas

4.7

7 reseña

5 stars
88 %
4 stars
4 %
3 stars
4 %
1 star
4 %

Principales reseñas sobre MACHINE TEACHING FOR AUTONOMOUS AI

por MP28 de ago. de 2022

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

por PH13 de jun. de 2022

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

por HM22 de jun. de 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!

Ver todas las reseñas

Acerca de Programa especializado: Autonomous AI for Industry

Artificial intelligence (AI) is embedded in our daily life, from predictive text on our smart devices to the GPS that helps us navigate to a destination. But AI has been slower to transform industries that deal in tangible objects, like manufacturing and transportation. Yet there's enormous potential: Businesses can generate over $460 billion in incremental profit by integrating AI practices into their business operations, according to research from Infosys Knowledge Institute. This means there's immense opportunity to implement a successful model in your business. And this program will show you how.

This specialization offers a new approach to successfully using AI in industry — by applying machine teaching techniques to bring intelligence to autonomous systems and radically transforming and improving processes. Through machine teaching, subject matter experts in engineering and other disciplines infuse their skills and decision-making abilities, honed over years of experience, directly into the AI system. You’ll learn how to break a complex problem into individual skills and give your AI brain, the agent that powers your autonomous system, important clues about how to learn faster. By the end of the specialization, you’ll know how to build smarter, more agile control systems that can help your machinery and processes adapt in real time to changing conditions.

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.

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Machine Teaching for Autonomous AI

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Qué aprenderás

Habilidades que obtendrás