The Human-Computer Interaction (HCI) for AI Systems Design course is tailored for professionals aiming to bridge the gap between AI technologies and human-centered design. It explores the principles of user experience (UX), interaction design, cognitive psychology, and ethical AI, focusing on how users interact with intelligent systems. Ideal for UX designers, AI developers, product managers, and researchers, this course empowers you to build AI applications that are intuitive, accessible, and user-centric.

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Instructor led live online Classes

Human-Computer Interaction (HCI) for AI Systems Design

Instructor led live online Training (Weekday/Weekend)

Why Enroll in the HCI for AI Systems Design Course?

Human-Centered AI Design: Learn to create AI systems that prioritize user experience and usability.
Cross-Disciplinary Skills: Combine knowledge from AI, psychology, and design.
Real-World Case Studies: Analyze successful and failed AI interactions to understand best practices.
Career Advancement: Stand out in the fields of UX, product development, and AI research.
Design for Trust and Ethics: Integrate transparency, explainability, and ethical considerations in AI solutions.

Course Description

This course focuses on the intersection of AI technologies and human-computer interaction, teaching how to build AI systems that are effective, usable, and responsible.

1.UX/UI Designers developing interfaces for AI applications. 2. AI/ML Engineers working on human-facing models. 3. Product Managers responsible for intelligent product design. 4. Researchers and Students in AI and design disciplines.

1. Improves AI usability and user trust. 2. Teaches how to build interactive AI prototypes. 3.Guides ethical AI design and human-centered development strategies.

What you'll learn

Principles of HCI: Interaction models, usability heuristics, and cognitive load.

User-Centered AI Design: Gathering user needs and integrating feedback loops.

Designing for Explainability: Building interpretable and transparent AI systems.

Voice & Conversational Interfaces: Design strategies for chatbots and voice assistants.

Accessibility and Inclusion: Building AI tools for diverse populations.

Prototyping AI Interfaces: Using tools like Figma, Adobe XD, and interactive mockups.

Ethics in HCI & AI: Bias, fairness, user consent, and data privacy.

Requirements

Basic understanding of AI concepts or UX design principles.
Familiarity with design or development tools is a plus, but not mandatory.

Curriculum Designed by Experts

Human–AI interaction: What does it enable and why is it hard to get it right
Learn what is meant by human–AI interaction
Why we need to design systems with this interaction in mind
Why human–AI system design is uniquely difficult

Discover how to use functional modelling in the design engineering process for a human-AI system
Explore different approaches to modelling systems

Explore the automation problem
Learn what is meant by automation
Why it is not a silver bullet for systems design

Discover different approaches for allowing users to interact with AI
Explore their challenges
Learn how to optimise interaction

Learn how to approach user interpretation of AI
Discover techniques for explaining AI to users, including information visualisation

Explore the importance of human control and agency
Learn how to manage the risks posed to these by human-AI systems

Explore the main challenges of governance of a human AI system and learn how to use system mapping
Risk assessment methods to minimise risks and cultivate good practices

Learn how to verify, validate and evaluate human-AI systems
Exploring strategies to ensure a system is fit for purpose before and after deployment

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Human-Computer Interaction (HCI) for AI Systems Design

Read Review

Instructor led live online Classes

Human-Computer Interaction (HCI) for AI Systems Design