Designing Agentive Technology: AI for Human Support
This course provides a structured approach to designing agentive technology—systems that act independently to assist users. It focuses on real-world applications, emphasizing autonomous systems that learn and adapt to user needs to create intuitive AI-driven interactions.
What you'll learn
- Understand what agentive technology is and how it differs from automation and traditional AI
- Identify core agentive interaction patterns, constraints, and exception-handling strategies
- Design, evaluate, and refine autonomous systems that support and extend human capabilities
- Explore ethical, societal, and future implications of large-scale agentive and AI systems
Skills you'll gain
- Define agentive technology and distinguish it from automation and AI
- Identify core agentive interaction patterns and design constraints
- Apply a structured model to describe, evaluate, and refine agentive use cases
- Design ramp-up, monitoring, and exception-handling flows for autonomous agents
- Evaluate agentive systems using usability and heuristic methods
- Assess ethical and societal impacts of deploying agentive AI at scale
Prerequisites
- • Background in digital product thinking or digital product design
- • Familiarity with basic concepts in UX or interaction design
Who this course is for
- → Product strategists interested in agentive and AI-driven products
- → UX designers working on autonomous or assistive digital experiences
- → Technologists with a background in digital product thinking
- → Professionals exploring human-centered design for AI and automation
Provider
Coursera
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