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.
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About this Course
Familiarity with engineering concepts like robotics and manufacturing is helpful but not required. Coding experience is not needed.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
You'll gain key AI terminology and understand how to teach and train AI.
You'll design your own original autonomous AI system.
Skills you will gain
- Architecture Design Patterns
- Simulated Environments
- AI Brain Design
- AI Brain Performance
- Reinforcement Learning
Familiarity with engineering concepts like robotics and manufacturing is helpful but not required. Coding experience is not needed.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Defining your AI
Teaching Skills to your AI
Organizing Skills in your AI
Putting it All Together
About the Autonomous AI for Industry Specialization

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