Designing Usable Ai

How to Build Trustworthy AI Experiences

What you'll learn

User experience designer

UX Designer

Product designer

UI Designer

Product manager

UI Engineer

Requirements

You don’t need to be an AI expert to take this course. It’s built for designers, product teams, and business professionals who want to understand and design AI experiences without needing to code. No prior technical AI knowledge is required. We explain concepts in clear, accessible terms. A basic understanding of UX or product design helps, but it’s not essential. If you’ve ever designed, tested, or managed a digital product, you’ll follow along easily. Familiarity with digital products or software (apps, websites, or enterprise tools) will help you connect the lessons to your own work. Curiosity about AI is the only must-have. This course is about designing for people — not programming models. By the end, you’ll be able to apply usable AI principles to your own projects, even if you’ve never worked directly with AI before.

Description

AI is everywhere — but truly usable AI is rare. Most AI features confuse users, overpromise, or break trust. That’s why designing AI isn’t just about technology — it’s about clarity, transparency, and experience design.In this course, you’ll learn how to design AI experiences that people actually want to use. We’ll break down what makes AI usable, trustworthy, and valuable — and give you the frameworks and practical tools to make it happen in your own projects.You don’t need to be an AI expert. This course is designed for UX designers, product designers, product managers, and engineers who want to build AI into their products the right way — focused on usability, not just novelty.What you’ll learn:The foundations of AI usability and why mental models matterHow to design clear and useful AI experiences that reduce frictionWays to build trust and transparency into AI productsCommon UX mistakes that break trust in AI — and how to avoid themPractical frameworks, checklists, and guardrails for AI designHow to apply UX strategy to AI in real-world B2B and consumer productsWhy take this course?Practical, not theoretical: Based on real-world experience designing AI products in global organisationsClear frameworks you can use immediately: No fluff, just tools and guidanceAccessible to non-experts: No coding or technical AI knowledge requiredBy the end of this course, you’ll have the confidence and skills to design AI experiences that people can understand, trust, and use — setting you apart as someone who can bridge the gap between powerful technology and human-centered design.Let’s make AI usable, together.

Overview

Section 1: Welcome & Mindset

Lecture 1 Introduction

Lecture 2 The UX Mindset Shift for AI

Section 2: Foundations for designers

Lecture 3 LLMs & AI Systems

Section 3: Designing for clarity & explainability

Lecture 4 Designing clear & useful AI experiences

Lecture 5 Making AI Understandable - Explainability in AI

Section 4: Trust, safety & human like design

Lecture 6 Establishing User Trust

Lecture 7 Human-like AI

Section 5: The Strategic Role of UX in AI

Lecture 8 The strategic role of UX in AI products

Section 6: Wrap Up

Lecture 9 Wrap up & next steps

This course is designed for professionals who are building, shaping, or contributing to AI-driven products and want to make them truly usable and trustworthy. It’s not a coding course — it’s about experience design, product strategy, and building AI that people actually want to use. UX & UI Designers who want to confidently design for AI features without getting lost in technical detail. Product Designers & Strategists who need practical frameworks for integrating AI into existing user journeys. Product Managers who must balance technical feasibility with user trust and adoption. Engineers & Developers who are building AI-powered interfaces and want to understand the user experience side. Leaders & Innovators in digital products who want to stay ahead of the curve by understanding what “good AI UX” looks like. This course is not for learners looking for machine learning coding tutorials, algorithm design, or heavy technical training. Instead, it focuses on the applied design side of AI: creating clarity, trust, and usable experiences.