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.
This course is part of the Autonomous AI for Industry Specialization
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About this Course
Familiarity with engineering concepts like robotics and manufacturing is helpful but not required.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
You’ll select a use case where autonomous AI can outperform traditional methods—setting the foundation for designing and building an autonomous AI.
Skills you will gain
- Machine Learning
- Decision-Making
- Intelligent Design
- Innovation
- AI Design
Familiarity with engineering concepts like robotics and manufacturing is helpful but not required.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
An Introduction to Autonomous AI & Machine Teaching
Analyzing the Problem
Learning the Solution
Storytelling
Reviews
- 5 stars91.66%
- 3 stars4.16%
- 1 star4.16%
TOP REVIEWS FROM MACHINE TEACHING FOR AUTONOMOUS AI
It's a great starter course in Autonomous AI field. Thanks for all the help & support during the whole journey.
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!
Very well structured and paced. Tackles some important topics with real life examples to back it up.
About the Autonomous AI for Industry Specialization

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