
Design Thinking, while it's been around for a while, is gaining momentum around the globe for its flexible, yet structured approach to product design or enhancement. In the world of application design, where "user experience" is a huge factor in successful user adoption - and most critically in enterprise applications - following a design thinking protocol in a user-centric approach can dramatically increase user adoption, and cut your development time in half.
This course is a precursor to more in-depth study, and by taking notes and using the downloadable outline provided, you'll gain an understanding of the importance of UX and Design Thinking for every application design project you work on.
Why This is Important to You
If you're a developer or application designer, there are critical, foundational factors to consider. Understanding that your role can either make or break the project is critical to your success.
Understanding how UX and UI differ, and also how they are both important to a successful outcome of every project is important for you, and for your users, stakeholders, and sponsors.
So why do we do this and why does it matter?
Every user will come to your application with expectations. Make sure you understand them and design an application that matters.
This is a mindmap model that explains all the important considerations an application developer should be aware of and understand.
So what is Design Thinking anyway? It's a systematic approach within a UX project that ensures greater levels of success through higher adoption rates.
What's it look like? How do we do it? Do I have to bring my computer? Do I take notes? I heard something about markers.
Okay but what's going on in there? Why are we doing all that?
Understanding exactly what UI is and its role in your application is key. Don't mistake it for UX. It's a part of UX, but it is not UX.
The workflow is the user's path through your application in the course of doing a task or fulfilling an objective.
Get this right and you'll have a fan club following you around at work. Get it wrong and...
Empathy is a huge concept and practice in Design Thinking research and you need to understand and practice it in every project.
Run through of a scenario to show visually, and explain what you do and why you're doing it in every user interview session you conduct.
What we mean by "cross-functional" and why it's important to successful projects.
Level of experience can become an important aspect of your team dynamics.
Who the facilitator is and what they do for the team.
What the primary interviewer means to the team and to the users who come for interviews.
The role and importance of the team members.
See how AI is changing UX work while the core purpose stays the same. This lesson introduces the updated module and the human-centered principles that guide everything that follows.
Learn where AI can support each stage of the UX process, from context and research through testing and decision-making, while keeping human judgment in control.
Learn how to use AI to prepare, organize, and interpret user research without confusing generated output, simulated users, or polished summaries with real evidence.
Learn how to use AI to generate broader design directions, challenge assumptions, work within constraints, and compare ideas without handing the final decision over to the system.
Learn how AI can accelerate user flows, interface content, and prototype creation while keeping the focus on learning, validation, accessibility, and the right level of detail.
Learn how to design AI-enabled experiences around trust, transparency, user control, privacy, correction, and recovery when the system gets something wrong.
Learn how to verify AI output, preserve accountability, know when AI adds real value, and build a durable UX practice that keeps human judgment at the center.
Reflect on the core ideas of the course, from human-centered UX and design thinking to AI-assisted practice, and carry forward a durable way of working built on curiosity, evidence, judgment, and real human needs.
UX & Design Thinking Quick Start: AI-Enhanced gives you a practical foundation in user experience, design thinking, application design, user research, ideation, prototyping, and the growing role of AI in modern UX work.
The course is built around a simple idea: good UX starts with understanding people, framing the right problem, and making thoughtful design decisions. AI can accelerate parts of that work, but it does not replace research, judgment, testing, or responsibility.
You’ll learn how to understand user needs, gather and interpret research, shape better design directions, create useful flows and prototypes, and apply design thinking to real application design challenges.
You’ll also explore how AI is changing the UX workflow. The course covers AI-assisted research, ideation, prototyping, and the design of experiences where users interact directly with AI. You’ll learn how to use AI without confusing generated output with real evidence, and how to think about trust, transparency, privacy, user control, correction, and recovery when AI gets something wrong.
This course is practical, accessible, and focused on helping you build a way of working that can continue to evolve as the tools change.
You’ll learn how to:
Apply UX and design thinking to application design
Understand user needs and frame stronger design problems
Conduct and interpret user research
Turn research into useful design directions
Use AI to support research, ideation, and prototyping
Distinguish AI-generated output from real user evidence
Create prototypes faster without confusing polish with validation
Design AI-enabled experiences with trust, transparency, and user control in mind
Make better decisions using evidence, context, and human judgment
Build a UX practice that stays useful as AI continues to evolve
This course is a strong fit for UX designers, product designers, developers, product managers, business analysts, and anyone involved in creating digital products who wants a practical, current approach to UX and design thinking.