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Machine Teaching for Autonomous AI Systems
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Machine Teaching for Autonomous AI Systems

Learn to design and implement autonomous AI systems using machine teaching principles. Master decision-making strategies and SME-driven AI development.

Course Cost

₹ 2,699

Beginner

Skill Level

10 Hours

Self-paced lessons

This comprehensive course introduces the principles of machine teaching for developing autonomous AI systems. Students learn how subject matter experts can effectively train AI to optimize various processes and systems. The curriculum covers the fundamentals of automated vs. autonomous decision-making, machine learning algorithms, and real-world applications. Through practical examples and case studies, participants learn to evaluate use cases, interview SMEs, and design AI solutions that outperform traditional methods. The course emphasizes a practical approach to implementing autonomous AI in industrial and business settings.

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4.8

4,032 Enrolled

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Kence Anderson

Kence Anderson

English

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olive-leaves-logo

4.8

4,032 Enrolled

olive-leaves-logo

English

Kence Anderson

Kence Anderson

What you'll learn

  • Select appropriate use cases for autonomous AI implementation

  • Describe the concept of machine teaching and SME role in AI training

  • Differentiate between automated and autonomous decision-making systems

  • Evaluate the pros and cons of leveraging human expertise in AI design

  • Propose and validate autonomous AI solutions for real-world problems

  • Develop compelling stories to communicate AI solutions

Skills you'll gain

machine teaching
autonomous AI
decision-making
machine learning
AI design
reinforcement learning
SME integration
system optimization
industrial AI
process automation

This course includes:

210 Minutes PreRecorded video

3 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Share your certificate with prospective employers and your professional network on LinkedIn.

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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.

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There are 4 modules in this course

This course explores the innovative field of machine teaching for developing autonomous AI systems. Students learn how subject matter experts can train AI to improve and optimize various processes and systems. The curriculum covers essential concepts including automated versus autonomous decision-making, machine learning algorithms, and real-world applications. Through practical examples and case studies, participants learn to evaluate use cases, conduct SME interviews, and design effective AI solutions. Special emphasis is placed on storytelling and communication skills needed to present AI solutions to stakeholders.

An Introduction to Autonomous AI & Machine Teaching

Module 1 · 1 Hours to complete

Analyzing the Problem

Module 2 · 2 Hours to complete

Learning the Solution

Module 3 · 2 Hours to complete

Storytelling

Module 4 · 3 Hours to complete

Fee Structure

Payment options

Financial Aid

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Kence Anderson
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5

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5

Reviews

5,394

Students

3

Courses

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
Machine Teaching for Autonomous AI Systems

Beginner

Skill Level

10 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.