The Shift: AI-First UX Design

Name: The Shift: AI-First UX Design
Rating: 1.9 (4 reviews)

Designing Systems That Think, Learn, and Adapt

Created byDeepak Sahni

Last updated 12/2025

English

English [Auto],

What you'll learn

How to design for AI systems, not just use AI tools
How to design AI personality, intent, and communication
How humans build (and lose) trust in AI
How to prototype and test AI experiences beyond screens
How to design long-term human–AI relationships

Course content

5 sections • 13 lectures • 59m total length

Introduction3:51
Design for AI transforms UX by embracing probabilistic, adaptive experiences that manage uncertainty, build trust through transparency and tone, and cultivate human-AI relationships.

Designing for AI, Not With AI5:54
Design for ai means orchestrating the human and ai relationship and embracing variability and uncertainty. Build trust, boundaries, feedback loops, and sensemaking to empower users.
Understanding AI Behaviors & Human Trust Patterns6:21
Explore how AI behaves probabilistically, not deterministically, and how designers build human trust through transparency, reliability, competence, and empathy in trustworthy AI experiences.
Prototyping and Testing AI Experiences for Trust6:35
This lecture guides prototyping and testing AI experiences for trust, trust patterns, transparency, and collaboration by focusing on scenario-based conversations and prompt prototypes rather than screens.
Designing Transparency and Control in AI Experiences5:41
design transparency and control in ai experiences to build trust by showing what the ai did, why, and what comes next, with usable levers and ethical responsibilities.

Designing AI Personality and Tone — Communication for Trust5:21
Design AI personalities and tones to build trust, guiding users through intent-driven exploration rather than speed, turning AI into a meaningful, evolving thinking partner.
Mapping AI Intent — Designing Prompts, Personas, and Contexts4:04
Map AI intent by designing prompts, personas, and context layers to move from task-driven interactions to conversational scaffolds, guiding mutual understanding across user, task, and memory layers.
Designing Adaptive Feedback Loops for Learning and Trust2:59
Explore adaptive feedback loops that build trust by making learning visible across immediate, session, and system levels, turning feedback into dialogue.
AI as a Co-Creator — Designing for Emergent Collaboration2:54
Explore how AI becomes a thinking partner in design, enabling emergent collaboration where humans and AI co-create within guardrails; invite contribution, show authorship, and celebrate surprise.

Rethinking Success — Evaluating AI Experiences4:52
Evaluate AI experiences beyond usability by shifting from task success to outcome satisfaction, measuring trust calibration, cognitive alignment, and the report and empathy in AI interactions.
Testing AI Experiences — Observing Conversations, Not Clicks6:51
Test AI experiences by observing conversations, not clicks, using ethnographic-style testing to focus on evolving intent, intent fulfillment, repair, trust, and empathy to guide design and training.

Requirements

Basic UX knowledge and intent to learn

Description

AI is no longer just a tool designers use—it’s becoming the product itself. From chatbots and recommendation systems to intelligent workflows and adaptive interfaces, today’s products think, decide, and evolve. This course helps you make the shift from traditional UX to AI-first design.

In this course, you’ll learn how to design for AI-driven systems, not just interfaces powered by AI tools. We’ll explore how AI changes user behavior, decision-making, trust, control, and experience—and what that means for designers.

You’ll understand:

How AI-powered products are different from rule-based systems
Key UX principles for designing intelligent, adaptive experiences
How to design conversations, predictions, feedback, and transparency
The role of designers in AI workflows and product teams
Common mistakes when designing AI products—and how to avoid them

This course focuses on thinking, frameworks, and real-world examples, not coding or using AI design tools. Whether you’re a UX/UI designer, product manager, researcher, or student, this course will help you build the mindset required to work on modern AI products confidently.

If you’re feeling unsure about how AI fits into design—or worried about staying relevant as a designer—this course will give you clarity, direction, and practical understanding.

Design isn’t disappearing. It’s evolving.
This course helps you evolve with it.

Who this course is for:

UX designers,
Product managers
UI Designer and Developers
Content designers
Anyone interested to learn how to design for AI

The Shift: AI-First UX Design

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 4min

Designing for AI, Not with AI4 lectures • 25min

Designing AI Relationships — From Utility to Understanding4 lectures • 15min

Evaluating AI Experiences — Beyond Usability Metrics2 lectures • 12min

The Future is Co-Intelligent2 lectures • 4min

Requirements

Description

Who this course is for: