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

Kence Anderson

Ofrecido Por

Programa especializado: Autonomous AI for IndustryUniversidad de Washington

Acerca de este Curso

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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.

Fechas límite flexibles

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Certificado para compartir

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100 % en línea

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Laboratorios de Coursera

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Curso 2 de 3 en

Programa especializado: Autonomous AI for Industry

Nivel principiante

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

Aprox. 12 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 gain key AI terminology and understand how to teach and train AI.
You'll design your own original autonomous AI system.

Habilidades que obtendrás

Architecture Design Patterns
Simulated Environments
AI Brain Design
AI Brain Performance
Reinforcement Learning

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.

Laboratorios de Coursera

Incluye proyectos de aprendizaje prácticos.

Obtén más información sobre los laboratorios de Coursera

Curso 2 de 3 en

Programa especializado: Autonomous AI for Industry

Nivel principiante

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

Aprox. 12 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

Kence Anderson

Director, Autonomous AI Adoption

Microsoft

4001 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

3 horas para completar

Defining your AI

3 horas para completar

7 videos (Total 43 minutos), 5 lecturas, 3 cuestionarios

7 videos

0.1 - A glimpse ahead2m1.0 - Scenarios: The basis for learning6m1.1 - Actions: Sense, plan, act5m1.2 - Actions: String together into scenarios3m1.3 - Navigating Actions (Map analogy)5m1.4 - Real Autonomous AI Stories: Bell Flight4m1.5 - What are the goals of the brain?14m

5 lecturas

Real Autonomous AI10mThe Instructional Team5mAbout "Brain Design Challenge" the Honors track10mDiscussion | Introduce Yourself10mGlossary & Course Map10m

2 ejercicios de práctica

Practice Questions | Identifying Actions5mGraded Quiz | "Actions & Goals" Review30m

Semana2

Semana 2

4 horas para completar

Teaching Skills to your AI

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.

4 horas para completar

7 videos (Total 55 minutos), 3 lecturas, 5 cuestionarios

7 videos

2.1 – Defining: Concepts, Skills, & Strategies7m2.2 – Matching Skills to Scenarios4m2.3 – (Fantastic) Skills: Perception, Action & Selector14m2.4 – "Heuristic Strategies" (Where to find them)13m2.5 – How goals relate to scenarios3m2.6 – Navigating by Landmarks (Goals)6m2.7 – Real Autonomous AI Stories: Tesla4m

3 lecturas

Example Use Case | Baggage ProcessingOptimization10m3 Basic Brain Design Patterns10mExample Use Case | Rail Yard Optimization10m

4 ejercicios de práctica

Practice Questions | Matching skills and strategies to scenarios30mPractice Questions | Setting good goal objectives for skills and strategies30mPractice Questions | Identifying: primary, secondary, and trade-off goals5mGraded Quiz | "Skills & Scenarios" Review30m

Semana3

Semana 3

2 horas para completar

Organizing Skills in your AI

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.

2 horas para completar

5 videos (Total 49 minutos), 1 lectura, 2 cuestionarios

Semana4

Semana 4

3 horas para completar

Putting it All Together

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.

3 horas para completar

4 videos (Total 39 minutos), 2 lecturas, 2 cuestionarios

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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Designing Autonomous AI

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Qué aprenderás

Habilidades que obtendrás