Designing Autonomous AI

University of Washington via Coursera

Coursera based on 12 ratings

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Overview

"Designing Autonomous AI" is a cutting-edge course aimed at developers, engineers, and AI enthusiasts who want to understand and create autonomous artificial intelligence systems. This course provides a deep dive into the principles, techniques, and technologies that power autonomous AI, with a focus on building intelligent systems that can operate independently, make decisions, and adapt to their environment. Throughout the course, participants will learn how to design and implement algorithms that enable machines to perceive, reason, and act autonomously. Topics covered...

Syllabus

Defining your AI

The first step in designing an autonomous AI is defining what your AI is going to do and what the goals are. Think about it like describing a game to someone. First you explain what the object of the game is, and then you describe the rules. In this module you'll learn how to do the same for your autonomous AI use case.

Teaching Skills to your AI

Autonomous AI brains are built from skills. Skills are units of competence for completing tasks that have sub-goals associated with them. This week you'll learn to outline the skills you want your autonomous AI brain to learn. First, youll identify three different types of skills that you can build into your brains. Then, youll learn a strategy that will easily extract and document skills from subject matter experts you interview. Along the way well look at some design patterns that you can use as templates to start your use case brain designs.

Organizing Skills in your AI

Now that you understand how to interview a subject matter expert and lay out all the skills that you want your AI to practice, you need to organize those skills in the brain. In this module youll learn two organizing paradigms for skills in autonomous AI, and a three-step framework for completing this orchestration. This week youll see some brain design patterns for example use cases, to you with thinking about organizing your own use case brain design.

Putting it All Together

Now it's time to put it all together. You've defined your AI, you've identified a set of skills that you want to teach your AI and you've used brain design patterns in the paradigms of orchestration to snap those skills together in the right arrangement. There's a few pitfalls to orchestration that you should be aware of and youll have lots of opportunity to practice creating variations on brain designs for sample problems. Make sure to share your brain designs from the lab in the forum, so we can discuss them together and learn from each other.