Machine Teaching for Autonomous AI

University of Washington via Coursera

Coursera

9 Courses


The University of Washington is a highly-ranked public institution in Seattle, providing a world-class education to students from a variety of backgrounds. It has a diverse faculty, extensive research opportunities, and an innovative curriculum, crafting an unmatched learning experience.

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Overview

Explore the frontier of artificial intelligence (AI) with the University of Washington's groundbreaking course, "Machine Teaching for Autonomous AI," available on Coursera. Delve into the innovative machine teaching paradigm where subject matter experts (SME) play a crucial role in teaching AI systems, enabling them to optimize and enhance various processes autonomously. This course provides a deep dive into how automated systems make decisions and guides you through the design of superior AI systems that surpass current capabilities.

With an emphasis on practical application, the course addresses the challenging reality that 87% of machine learning projects falter at the proof-of-concept stage. Through comprehensive lectures, you will learn to critically analyze existing systems to ascertain their suitability for machine teaching techniques. The capstone project offers you an opportunity to execute a real-world application by selecting a use case, interviewing an SME, and crafting a compelling narrative on the design of an autonomous AI system.

Upon completion, participants will possess the ability to:

  • Describe the principles of machine teaching.
  • Explain the significance of SMEs in the development of advanced AI systems.
  • Assess the advantages and drawbacks of integrating human expertise in AI design.
  • Distinguish between automated and autonomous decision-making.
  • Identify the limitations of both automated systems and human cognition in real-time decision-making.
  • Select practical scenarios where autonomous AI surpasses both human and automated solutions.
  • Design an autonomous AI strategy for solving real-world problems.
  • Validate their AI designs by comparing them to established expertise and problem-solving methodologies.

This course is an essential part of the "Autonomous AI Fundamentals" specialization, catering to students interested in enhancing their knowledge in Artificial Intelligence, Machine Learning, Neural Networks, and related fields. Offered by the prestigious University of Washington in partnership with Coursera, this course is designed to empower you with the knowledge and skills to craft the future of AI.

Syllabus


Taught by

Kence Anderson


Tags

united states

provider Coursera

Coursera

1275 Courses


Coursera

pricing Free Online Course (Audit)
language English
duration 12 hours
sessions On-Demand
level Beginner