CF

Design and Code User Interfaces with Galileo and Claude AI

3h 42m 41s
English
Paid
Updated September 2026

Design and Code User Interfaces with Galileo and Claude AI is a 27-lesson 3 hours 42 minutes self-paced course by DesignCode (Meng To). Another DesignCode course from Meng To, this one focused on an AI-assisted path from a design idea to working code, using Galileo AI, Figma, and Claude AI in sequence across 27 lessons.

Course facts

Lessons
27
Duration
3 hours 42 minutes
Level
All levels
Language
English
Updated
2026-09-11
Instructor
DesignCode (Meng To)
Price
Premium

Another DesignCode course from Meng To, this one focused on an AI-assisted path from a design idea to working code, using Galileo AI, Figma, and Claude AI in sequence across 27 lessons.

From idea to mockup

You start in Galileo AI, generating initial mockups fast enough to explore several directions before committing to one.

Refining in Figma

Mockups move into Figma, where you adapt them to match your own style and brand rather than settling for the AI's first pass.

From design to code with Claude AI

The final stage uses Claude AI to turn the refined design into functional code, skipping the traditional prototyping-then-handoff process in favor of going straight from finished design to a working implementation.

Who teaches Design and Code User Interfaces with Galileo and Claude AI? DesignCode (Meng To)

DesignCode (Meng To) thumbnail

DesignCode (designcode.io) is the online course platform of Meng To, a Vietnamese-Canadian designer-developer best known for the Design+Code book — one of the earliest works to seriously bridge interface design and iOS / SwiftUI implementation for designers learning to code.

The platform's distinctive contribution is the design ↔ engineering bridge: each course covers both the visual / design craft and the implementation in Swift / SwiftUI, React Native, or web. Course material covers SwiftUI app design, Figma design systems, animation in SwiftUI and CSS, the React / Tailwind front-end stack, and the broader design-engineering boundary that most pure-design or pure-coding courses don't address.

The CourseFlix listing under this source carries over 10 DesignCode courses spanning that range. Material is paid; DesignCode runs on a monthly / annual subscription on the original platform. Courses are aimed at designers learning to ship code or developers wanting to push their design craft.

What lessons are included in Design and Code User Interfaces with Galileo and Claude AI?

This is a demo lesson (10:00 remaining)

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#1: 01 Transform your UI Design Workflow with AI
All Course Lessons (27)
#Lesson TitleDurationAccess
1
01 Transform your UI Design Workflow with AI Demo
02:04
2
02 Generate UI Design with Galileo AI
13:04
3
03-Customize-Design-with-Figma
11:04
4
04 Generate images with Ideogram
10:10
5
05 Create Responsive Task Cards in Figma
08:02
6
06 Mastering Responsive Layouts
09:08
7
07 Complexe Layouts and Constraints
10:04
8
08 Figma New UI3
09:28
9
09 Components Properties
09:29
10
10-Introduction-to-Claude-AI
07:51
11
11 Functional Design with Claude AI
08:46
12
12 Publishing an Artifact
01:58
13
13 Build Your Project Knowledge
08:38
14
14 Build the entire project
12:42
15
15 Introduction to v0 Vercel
03:14
16
16 Create Second Artifacts
06:16
17
17 Combine Artifacts and Create Interaction
06:02
18
18 Designing a New Event Modal
10:04
19
19 Ignore Auto Layout and Constraints
08:42
20
20 Building the Schedule page
08:44
21
21-Tailwind-CSS
09:35
22
22 Tailwind's Configuration
10:05
23
23 Interactive Event Modal
09:52
24
24 Connecting Calendar Schedule to Event Modal
06:29
25
25 Interactive Animations with Claude AI
09:54
26
26 Search Field Animations
09:37
27
27 Conclusion
01:39
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Frequently asked questions

What prerequisites are needed before taking this course?
This course is designed for designers, developers, and creative professionals interested in enhancing their UI/UX design workflow with AI tools. While there are no strict prerequisites, familiarity with design software like Figma and a basic understanding of UI/UX principles will be beneficial. The course assumes some prior knowledge of design processes but aims to be accessible to those looking to integrate AI into their design toolkit.
What projects will I work on during the course?
Throughout the course, students will engage in multiple projects that integrate AI into the design process. These include generating initial mockups with Galileo AI, refining them in Figma, and transforming these designs with Claude AI. Additionally, you will learn to create responsive task cards and complex layouts, and build a complete project that involves publishing artifacts and creating interactive animations.
How does this course compare in depth and scope to similar courses?
This course offers a unique focus on integrating AI technologies into UI/UX design, using tools like Galileo AI and Claude AI. It provides practical, hands-on experience in generating, refining, and transforming designs with AI, which may not be covered in traditional UI/UX courses. With 27 lessons, the course covers a wide range of topics from AI-enhanced design to responsive layouts, providing a comprehensive exploration of AI in design.
What specific tools or platforms are taught in this course?
The course focuses on leveraging Galileo AI and Claude AI to enhance the UI/UX design process. Students will learn to generate mockups with Galileo AI, refine them using Figma, and transform designs with Claude AI. The course also covers responsive design techniques with Tailwind CSS and interactive animations, ensuring you have a well-rounded understanding of both AI and traditional design tools.
What topics are not covered in this course?
While the course offers a robust exploration of AI-enhanced design, it does not cover foundational graphic design principles or basic coding skills. The focus is on using AI tools to streamline the design workflow, rather than teaching the fundamentals of design or in-depth coding techniques. It assumes some prior knowledge of design but does not delve into programming languages outside of what's necessary for implementing AI tools.
How much time should I expect to commit to this course?
The course consists of 27 lessons, each designed to progressively build your skills in AI-enhanced design. While the total runtime is not explicitly stated, students should expect to dedicate several hours per week to fully engage with the material, complete hands-on projects, and review lessons. The time commitment will vary depending on your prior experience and familiarity with the tools covered.
How can the skills learned in this course be applied to other careers?
Skills gained from this course can significantly enhance career opportunities in UI/UX design, web development, and creative industries. Understanding how to leverage AI tools like Galileo and Claude AI can streamline design processes, making you a valuable asset in tech-forward companies. The ability to create responsive layouts and interactive designs with Figma and Tailwind CSS will also be beneficial in roles requiring design and front-end development expertise.