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AI Full-Stack Designer Master Class

The goal is to cultivate a full-stack perspective that allows individuals to lead the entire product lifecycle, covering everything from research automation and backend data integration to the deployment of live dynamic websites. We empower those who want to strengthen their competitiveness in the AI era by providing the ability to use these tools as a powerful engine to turn ideas into reality.

(5.0) 2 reviews

10 learners

Level Beginner

Course period Unlimited

Google Analytics
Google Analytics
Figma
Figma
UX Research
UX Research
product design
product design
AI Agent
AI Agent
Google Analytics
Google Analytics
Figma
Figma
UX Research
UX Research
product design
product design
AI Agent
AI Agent

Reviews from Early Learners

Reviews from Early Learners

5.0

5.0

namhoon.lee0722

100% enrolled

Having worked in management consulting for a long time, I have always been curious about the AI and big data industries, which led me to take this course. I liked that the content was easy to understand from the perspective of a general office worker and progressed step-by-step. In particular, I appreciated how the flow was so clear, as everything from AI research and design to the latest Figma updates and SEO settings was structured and connected end-to-end. While I have learned many tools in the past, I always found it difficult to structure the entire process, and this course helped a lot in that regard. This lecture went beyond using AI simply as a tool to ask questions; it provided insights into how formats like JSON and Markdown can be integrated into business processes. I am willing to take any future courses you upload based on this trust. Thank you.

What you will gain after the course

  • AI design development and implementation: Live dynamic website with real-time data integration

  • Evidence-based AI UX research and standardized documentation automation

  • Intelligent decision-making that optimizes business impact by proving with data and predicting with AI.


[AI] era, what is the future of design?
Answer with true full-stack.


Do you want to grow into a full-stack designer who leads the AI era?
It is crucial to develop practical skills that allow you to lead the entire product lifecycle on your own, from data analysis to deploying a functional web application. This course helps you go beyond simply using AI as a tool, empowering you to lead AI and utilize it as a powerful engine that turns your ideas into reality.


When you find yourself only using AI tools in a superficial way because you've learned how to use them but don't understand the underlying principles.

As a startup practitioner who needs rapid hypothesis testing and performance measurement, when you want to handle the entire design implementation process on your own

When you feel buried in repetitive interview transcription and documentation, unable to focus on your core tasks

Do you want to possess unwavering competitiveness even amidst the rapid changes in AI?
Start your transformation into an AI full-stack designer right now.


From research automation to AI-based
data integration and live web deployment!


Seize the opportunity to grow from a designer who uses AI as a tool into a
full-stack designer who leads AI
.




By the end of this course, you will...


You will be reborn as a full-stack designer leading the AI era.

  • Beyond simply using AI tools, you will acquire the capabilities of a full-stack designer who can independently manage the entire process—from automating research using AI to integrating backend data and deploying actual dynamic websites. You will gain the power to proactively lead the entire journey of turning ideas into reality.

You will become an expert in AI-based data analysis and UX design.

  • You will be able to analyze actual user data using tools like Google Analytics and perform AI UX research based on this to establish evidence-based design strategies. You will develop the ability to automate repetitive documentation tasks using AI and make intelligent, data-driven decisions.

Develop practical problem-solving skills to lead AI.

  • By understanding the principles of AI tools and grasping their design structures, you can move beyond superficial usage and utilize AI as a powerful engine in practical environments that require rapid hypothesis testing and performance measurement. From junior to senior practitioners, you will grow into a designer equipped with the competitiveness necessary for the AI era.

You will be able to implement advanced designs by combining Figma and AI.

  • You will develop the ability to quickly visualize ideas and automatically generate prototypes using AI features. Additionally, you will master advanced Figma functions—such as building and automating design systems and managing AI-generated images and icons—to enhance the quality of your design output and establish efficient workflow habits.


✔️

The surest way to become a full-stack designer leading the AI era

AI-Based Product
Full-Stack Design Master

This course covers the entire process, from AI-powered research automation to backend data integration and the deployment of actual dynamic websites. Through this, it helps individuals develop full-stack capabilities to proactively lead the entire product lifecycle.

Practical Design Implementation using
Figma, GA, and AI Agents

We will conduct hands-on exercises to quickly visualize ideas using Figma's AI features and improve designs based on data by integrating with Google Analytics. You will gain experience automating UX research and documentation through AI Agents.

Deployable live website
and standardized research materials

Through the templates and guidelines provided in the course, you can automate AI-powered UX research materials and standardized documentation. Additionally, you will learn how to transform design outputs into actual deployable live websites using tools like Supabase.


📚

From design to deployment with AI, a course for strengthening
full-stack designer capabilities to lead the entire product.

Section 1

Survival Strategy in the AI Era: Course Introduction and Goal Setting

This section introduces the role of a full-stack designer in the AI era and the overall goals of the course. It aims to develop the capability to innovate the design process using AI technology and to proactively lead the entire project lifecycle.


Section 2

AI Native Thinking: How to Communicate and Direct in AI Language

Understand the basic principles of AI and learn effective prompt engineering techniques. You will learn how to optimize interactions with AI and achieve desired outcomes using methods such as few-shot learning, Markdown, JSON, and verbalized sampling.


Section 3

AI-Based UX Strategy and Research Automation

Explore ways to automate and streamline the UX research process using AI. From analyzing App Store and Google Play Store data to market trends, SWOT analysis, and creating positioning maps, we support AI-driven, data-based decision-making.


Section 4

Figma and AI-Powered Advanced Design

Enhance your design capabilities by combining the core features of Figma with AI technology. By utilizing Figma's advanced features—such as components, auto layout, prototyping, and design system construction—alongside AI, you can create efficient and innovative design outcomes.


Section 5

Full-Stack Implementation: From No-Code Deployment to Data Analysis

It covers the entire process of deploying design outcomes into actual live websites using no-code tools and analyzing user data through Google Analytics. You will complete your full-stack capabilities to manage the entire product lifecycle through API integration and real-time data application.


We can solve the concerns
of people like this!

📌

Designers who have only used AI tools partially

Those who have used AI tools but have felt overwhelmed by how to integrate them
comprehensively into the overall product development workflow.

📌

Early-stage startup founders and practitioners

Those who find rapid hypothesis testing and incorporating user feedback important,
but struggle to handle everything from data analysis to design implementation alone

📌

Researchers and PMs exhausted by repetitive documentation

Those who have found it difficult to focus on core tasks because they spend too much time on repetitive documentation, such as
transcribing interviews, writing meeting minutes, and generating reports.




Notes before taking the course


Hands-on Environment

  • Personal PC (Windows, macOS)

  • Install the latest version of the Figma application

  • Stable internet environment

Prerequisites and Important Notes

  • Experienced Figma users *It's okay if you're not! The lecture includes core basics.

  • Those who have experience with AI tools but lack an understanding of the principles

  • Those who want to cover the entire product design lifecycle

Learning Materials

  • Lecture Notion provided

  • Hands-on practice example code and templates

  • AI Prompt Library


Recommended for
these people

Who is this course right for?

  • Someone who has used AI tools but utilizes them fragmentarily without understanding the principles or design structure.

  • Early-stage startup founders and practitioners who need rapid hypothesis testing and performance measurement

  • Researchers and PMs who are buried in interview transcription and repetitive documentation.

  • A designer who wants to implement the entire process of turning a design into an actual product.

Hello
This is Sarah

Instructor Biography

  • Current) Adjunct Professor at S University (UX/UI · AI-based Service Planning)

  • Current) UX Researcher & Designer

  • Current) UX/UI · AI Instructor at multiple educational institutions

  • Former) Conducted UX/UI projects for global companies and startups

Research Achievements

  • Published papers in SCI-level international journals
    (IEEE Transactions, JMIR Formative Research, etc.)
    related to UX, HCI, and AI

     

Lecture History

  • Over 1,500 cumulative online course students Curriculum design for everyone from juniors to senior professionals

  • University Lectures AI-based service design, user research, UX/UI, design, entrepreneurship

     

  • AI-based user data analysis and extensive experience leading UX design projects và thiết kế UX

     

  • Professional Mentoring

    Practical feedback for job seekers, current designers, and planners.

 

Instructor's Greeting

Hello! I'm Sarah, an AI expert who aims for warm connections and intuitive design, and who is the fastest at integrating future technologies into practical work.

Today's design must not stop at simply 'drawing.' You must be able to handle everything from data analysis to implementing functional prototypes on your own, powered by the robust engine of AI. Based on the 'living know-how' gained from 10 years of platform practice and startup experience, I will transform you from a designer controlled by tools into a full-stack designer who leads AI.

 

More

Curriculum

All

28 lectures ∙ (5hr 39min)

Published: 
Last updated: 

Reviews

All

2 reviews

5.0

2 reviews

  • dmslr10046348님의 프로필 이미지
    dmslr10046348

    Reviews 1

    Average Rating 5.0

    Edited

    5

    36% enrolled

    I was at a loss on how to apply AI to actual work, but this lecture was very helpful because it showed the actual workflow rather than just explaining features. Once I understood the principles, the process of organizing research with an AI Agent, designing the structure based on that, creating the design, and connecting it to data flowed naturally. Many parts that felt vague have now been cleared up. I believe it was well worth more than the tuition fee.

    • namhoonlee07226495님의 프로필 이미지
      namhoonlee07226495

      Reviews 1

      Average Rating 5.0

      Edited

      5

      100% enrolled

      Having worked in management consulting for a long time, I have always been curious about the AI and big data industries, which led me to take this course. I liked that the content was easy to understand from the perspective of a general office worker and progressed step-by-step. In particular, I appreciated how the flow was so clear, as everything from AI research and design to the latest Figma updates and SEO settings was structured and connected end-to-end. While I have learned many tools in the past, I always found it difficult to structure the entire process, and this course helped a lot in that regard. This lecture went beyond using AI simply as a tool to ask questions; it provided insights into how formats like JSON and Markdown can be integrated into business processes. I am willing to take any future courses you upload based on this trust. Thank you.

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