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.
4.7
(10 ratings)
2,707 already enrolled
Instructors:
English
21 languages available
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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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
Pioneering Autonomous AI Solutions at Microsoft Through Innovative Design and Teaching Principles
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 commercial applications, including projects with PepsiCo, Bell Flight, and Shell. With a background in mechanical engineering and a passion for teaching, he integrates educational principles into AI design, focusing on how human expertise can enhance the effectiveness of AI systems. Anderson is also the author of Designing Autonomous AI, which explores machine teaching methodologies that facilitate the development of intelligent autonomous agents.
Testimonials
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4.7 course rating
10 ratings
Frequently asked questions
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