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Kence Anderson, Juan Vergara, and John Alexander
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...
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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.
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What's inside

Three courses

Machine Teaching for Autonomous AI

(0 hours)
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.

Designing Autonomous AI

(0 hours)
To design an autonomous AI system, you must distill a business challenge into its component parts. When children learn to hit a baseball, they start with the basics: gripping the bat, foot placement, and eye focus. Similarly, an autonomous AI system needs a subject matter expert (SME) to break down a complex process or problem into easier tasks that give the AI important clues about how to find a solution faster.

Building Autonomous AI

(0 hours)
Practice makes perfect for people and AI brains. In this course, you'll solve industrial engineering problems using Microsoft Bonsai, a low-code platform. You'll learn to build, test, and deploy an AI brain, conduct machine teaching experimentation, and assess its progress. Finally, you'll prepare the brain for deployment in a real-world environment.

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