Designing Autonomous AI
Learn to design AI systems that can operate independently. Master key concepts and create your own AI.
Learn to design AI systems that can operate independently. Master key concepts and create your own AI.
This course teaches you how to design autonomous AI systems by breaking down complex business challenges into manageable components. You'll learn to create an AI design plan, set goals, identify trainable skills, and incorporate subject matter expert knowledge into your AI's "brain." The course covers AI architecture design patterns, reinforcement learning, and how to combine various AI techniques. You'll gain practical skills in interviewing experts, designing AI brains, and validating your designs against existing problem-solving techniques.
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English
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What you'll learn
Gain key AI terminology and understand how to teach and train AI
Design your own original autonomous AI system
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
Skills you'll gain
This course includes:
183 Minutes PreRecorded video
8 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This course offers a comprehensive introduction to designing autonomous AI systems. Students will learn how to distill complex business challenges into manageable components, create AI design plans, and incorporate subject matter expert knowledge into AI "brains." The curriculum covers key concepts such as setting goals, identifying trainable skills, and employing goal-oriented strategies. Participants will explore various AI architecture design patterns and learn how to combine reinforcement learning with expert rules, optimization, and mathematical calculations. The course emphasizes practical skills in interviewing subject matter experts, designing modular AI brains, and validating designs against existing problem-solving techniques. Through real-world examples and hands-on projects, students will gain the ability to produce detailed specifications for building autonomous AI systems.
Defining your AI
Module 1 · 3 Hours to complete
Teaching Skills to your AI
Module 2 · 4 Hours to complete
Organizing Skills in your AI
Module 3 · 2 Hours to complete
Putting it All Together
Module 4 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Leader in Autonomous AI and Machine Teaching
Kence Anderson is the Director of Autonomous AI Adoption for Autonomous Systems at Microsoft, where he has designed over 150 autonomous decision-making AI systems for various commercial applications, including projects with PepsiCo, Bell Flight, and Shell. With a background in mechanical engineering and a passion for teaching inherited from his family, Kence integrates educational principles with technical expertise to create effective AI solutions. His research focuses on how machine teaching can empower operators and engineers to develop intelligent agents capable of solving complex problems.In addition to his role at Microsoft, Kence teaches courses such as "Designing Autonomous AI" and "Machine Teaching for Autonomous AI," sharing his knowledge on the intersection of AI technology and practical application in industry. He is also the founder of Composabl, a platform that enables users to build intelligent autonomous agents without requiring extensive coding skills. Kence's innovative approach to machine teaching emphasizes the importance of human expertise in training AI systems, making significant contributions to the advancement of autonomous technologies across various sectors
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Frequently asked questions
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