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Microsoft Ignite 2019 | Building Industrial Autonomous Systems with Reinforcement Learning | Scott Stanfield, Kence Anderson

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Microsoft Ignite 2019 | Building Industrial Autonomous Systems with Reinforcement Learning | Scott Stanfield, Kence Anderson

The recent use of advanced AI to “solve” vintage Atari video games, classic boardgames of Go and backgammon, and modern team-based games of Dota and Starcraft has put reinforcement learning (RL) into the spotlight. At its core, RL is about learning behavior in complex, dynamic environments. Beyond the realm of gaming, Microsoft is extending RL with machine teaching, in order to make the RL accessible to subject matter experts, and to champion an approach for RL in the real-world. The autonomous systems team at Microsoft is opening a public preview for developers to start playing with and learning more about reinforcement learning and machine teaching. Learn about the autonomous systems platform with real-world case studies showing the techniques used to improve the performance of high value applications in the areas of electronics manufacturing, chemical process control, and building automation systems. Join us for a hands-on tour of the platform, with practical coding demos and examples.

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers real-world applications of RL in electronics manufacturing, chemical process control, and building automation systems, which is standard in industry
Provides practical coding demos and examples during the hands-on tour of the platform
Focuses on building industrial autonomous systems with reinforcement learning, which aligns with the course objectives

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Learners who complete Building Industrial Autonomous Systems with Reinforcement Learning will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models and algorithms to improve the performance of various systems. This course may be useful for Machine Learning Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Data Scientist
Data Scientists use data analysis and machine learning to extract insights from data and make predictions. This course may be useful for Data Scientists who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Robotics Engineer
Robotics Engineers design, develop, and maintain robotic systems. This course may be useful for Robotics Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Control Systems Engineer
Control Systems Engineers design, develop, and maintain control systems. This course may be useful for Control Systems Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Industrial Engineer
Industrial Engineers design, develop, and maintain industrial systems. This course may be useful for Industrial Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical methods to solve problems in various industries. This course may be useful for Operations Research Analysts who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Manufacturing Engineer
Manufacturing Engineers design, develop, and maintain manufacturing systems. This course may be useful for Manufacturing Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Chemical Engineer
Chemical Engineers design, develop, and maintain chemical processes. This course may be useful for Chemical Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Electrical Engineer
Electrical Engineers design, develop, and maintain electrical systems. This course may be useful for Electrical Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Mechanical Engineer
Mechanical Engineers design, develop, and maintain mechanical systems. This course may be useful for Mechanical Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Systems Engineer
Systems Engineers design, develop, and maintain systems. This course may be useful for Systems Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Computer Engineer
Computer Engineers design, develop, and maintain computer systems. This course may be useful for Computer Engineers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Project Manager
Project Managers plan and execute projects. This course may be useful for Project Managers who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.
Business Analyst
Business Analysts analyze business processes and systems and identify opportunities for improvement. This course may be useful for Business Analysts who want to learn about reinforcement learning and how it can be applied to industrial autonomous systems.

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